Total Economic Impact
Cost Savings And Business Benefits Enabled By SnapLogic
A FORRESTER TOTAL ECONOMIC IMPACT STUDY COMMISSIONED BY SnapLogic, May 2025
Total Economic Impact
A FORRESTER TOTAL ECONOMIC IMPACT STUDY COMMISSIONED BY SnapLogic, May 2025
Forrester research finds that using hand coding to connect applications and data services is an impossible task: “With the explosion of APIs — both built in-house and offered through cloud services and SaaS applications — the complexity continues to grow. iPaaS [integration platform as a service] simplifies these connections, making them easier to implement, maintain, and operate.”1 Organizations need an integration solution that efficiently manages data and application integration, maintains agility, achieves seamless connectivity across diverse systems, and lays the foundation for digital transformation.
SnapLogic provides a self-service platform that unifies application and data integration, API management, and agent creation to help enterprises modernize their architecture and build a composable, agentic enterprise. It supports real-time data processing and seamless connectivity, facilitating digital transformation initiatives. The platform’s capabilities help improve productivity and decision-making by ensuring efficient data movement and integration.
SnapLogic commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying SnapLogic.2 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of SnapLogic on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers with experience using SnapLogic. For the purposes of this study, Forrester aggregated the experiences of the interviewees and combined the results into a single composite organization that is a global entity based in North America with $15 billion in annual revenue.
Interviewees said that prior to using SnapLogic, their organizations relied on a mixture of legacy on-premises data and application integration solutions as well as custom, manual integrations. However, prior attempts yielded limited success, leaving them with high costs, complexity, and inefficiencies. These limitations led to significant operational inefficiencies, fragmented decision-making processes, and scalability issues.
After the investment in SnapLogic, the interviewees experienced streamlined data integration, reduced manual intervention, and enhanced productivity. Key results from the investment include improved efficiency in creating and managing integrations, substantial technology cost savings, and reduced maintenance labor.
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
Efficiency gains worth $1.7 million. The composite organization achieves significant efficiency gains with SnapLogic compared to previous integration platforms. SnapLogic enables 35% of integration hours to transfer to citizen integrators and improves efficiency for core SnapLogic data engineers and developers by 15%. By shifting a large portion of integration tasks to citizen integrators, SnapLogic simplifies complex processes and frees up the composite’s data engineers and developers to focus on higher-value activities, such as integration management, training, and strategic initiatives. Its user-friendly interface and automation capabilities further boost productivity, resulting in total integration efficiency improvements valued at $1.7 million.
Technology cost savings of $1.4 million. The composite realizes technology cost savings by decommissioning multiple, disparate legacy integration solutions and migrating to SnapLogic. This migration allows the composite organization to reduce licensing costs and streamline its integration processes, leading to substantial financial benefits.
Technology support cost savings of $237,000. By migrating from legacy, on-premises integration systems to SnapLogic’s iPaaS model, the composite organization reduces the labor and complexity associated with maintaining outdated solutions. This transition eliminates the need to support multiple platforms, reduces downtime risk, and enhances overall system performance, job speed, and uptime. With SnapLogic’s cloud-native architecture, the composite organization benefits from continuous updates, automated patches, and a more resilient infrastructure. These improvements allow IT teams to shift their focus from routine maintenance to higher-value, strategic initiatives, ultimately driving greater productivity and operational efficiency.
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:
Increased revenue growth. SnapLogic can contribute to improving the composite organization’s top-line revenue by enabling faster and more efficient integration of new business processes and services. For example, it centralizes and aggregates data, allowing for accurate logistics features and real-time visibility of inventory, which enhances customer satisfaction and creates new revenue streams.
Enhanced business agility and faster time to market. SnapLogic enables greater connectivity for the composite organization, facilitating faster development of interfaces and data integrations for enterprise applications. This agility allows the composite organization to quickly adapt to changing business needs and market conditions, improving overall time to market.
Improved data quality. SnapLogic ensures consistent and accurate data across the composite organization’s systems, leading to better decision-making, business insights, and processes. Centralized data management reduces redundancy and errors, providing a reliable foundation for analytics and strategic planning. This also lends itself to emerging use cases around AI.
Improved scalability. SnapLogic handles high-volume data transactions and scales with growing data needs, supporting the composite organization’s expansion and growth. Its architecture efficiently manages increasing data loads and complex integrations without performance degradation.
Reduced risk and improved governance. By consolidating integration solutions onto a single platform, the composite organization reduces the risk of errors and inconsistencies in data and processes. This unified platform provides a single source of truth for data to ensure compliance with data policies.
Costs. Three-year, risk-adjusted PV costs for the composite organization include:
SnapLogic fees of $889,000. The composite organization realizes SnapLogic’s fees that are structured on a subscription basis, with costs varying depending on the scale and specific needs of the organization. Prior to present value adjustments, the composite pays $200,000 in SnapLogic fees in Year 1, $350,000 in Year 2, and $500,000 in Year 3 as it scales its workloads to SnapLogic. Additionally, SnapLogic provides support, including online training and dedicated customer success managers, as part of the subscription package. This pricing structure allows the composite organization to manage integration expenses predictably while benefiting from comprehensive support services.
Implementation, training, and ongoing costs of $305,000. The composite organization’s implementation of SnapLogic involves migration, change management, and technical integration. The migration occurs over several phases, each requiring dedicated resources and careful planning. Formal training sessions are essential to ensure employees understand how to use SnapLogic effectively, taking about 8 to 10 hours and involving pre-licensing training, app-specific training, and ongoing practice. Ongoing management includes maintaining a help desk, providing regular updates, and managing system changes, with automated upgrades and reduced manual intervention saving time and resources.
The financial analysis that is based on the interviews found that a composite organization experiences benefits of $3.3 million over three years versus costs of $1.2 million, adding up to a net present value (NPV) of $2.2 million and an ROI of 181%.
Return on investment (ROI)
Benefits PV
Net present value (NPV)
Payback
| Role | Industry | Region | Annual Revenue |
|---|---|---|---|
| Data architect | Construction | US headquarters, global operations | $50B+ |
| GM of enterprise integration | Energy | France headquarters, global operations | $30B+ |
| Data architect manager | Shipping | US headquarters, global operations | $3B+ |
| VP of IT | Consumer goods | US headquarters, global operations | $3B+ |
Before adopting SnapLogic, the interviewees’ organizations relied on a mixture of legacy on-premises data and application integration solutions as well as custom, manual integrations. These solutions presented several challenges, including high costs, complexity, and inefficiencies, hindering the interviewees’ organizations’ ability to efficiently manage data and application integration and adapt to evolving business needs. Interviewees noted how their organizations struggled with common challenges, including:
High licensing, support, and maintenance costs. Maintaining multiple integration platforms incurred significant licensing, support, and maintenance costs. The legacy systems required separate licensing fees and support labor and contracts, which added up to a substantial financial burden.
High complexity. Frequent upgrades and compatibility issues, especially with legacy solutions and their integration with other data solutions, required extensive manual work and redevelopment of function modules. The data architect at a construction organization noted: “[Before SnapLogic], every time when we entered an upgrade stage, we needed to redevelop all the [legacy solution] function modules. That was 400 jobs.” This process was time-consuming and resource-intensive, leading to significant operational inefficiencies. The constant need to manually update and maintain these integrations created a bottleneck, slowing down the overall workflow and increasing the risk of errors during the upgrade process.
Data silos. Disparate systems created data silos, making it difficult for the interviewees’ organizations to achieve a unified view of data for business analytics and decision-making. This created additional manual work for accessing and using data across different business systems, leading to fragmented and inefficient decision-making processes. The VP of IT at a consumer goods organization explained, “[Before SnapLogic], we had islands of data that weren’t really integrated or that needed to be manually integrated.”
Scalability issues. The interviewees noted that their organizations’ legacy systems struggled to keep up with the growing data volume and integration needs, leading to performance bottlenecks. The legacy systems were not designed to scale easily, resulting in slow processing times and limited capacity to manage increasing data loads, which hindered their organizations’ ability to grow and adapt to new demands.
Inefficient integration operations. Before adopting SnapLogic, many interviewees reported their organizations relied heavily on manual coding and scripting for data movement and integration — an approach that was time-consuming, error-prone, and difficult to scale. This manual process not only slowed down operations but also increased the risk of data inaccuracies, requiring significant time and effort to ensure data was correctly transferred and processed. For example, the VP of IT noted their consumer goods organization needed specialized resources to manage EDI transactions in their legacy environment. The inefficiency and complexity of this setup ultimately led them to seek a more agile iPaaS solution. Similarly, the data architect manager said their shipping organization depended on a patchwork of legacy tools, Java programs, and shell scripts — each with high licensing costs and steep learning curves. The GM of enterprise integration also weighed in, stating that their energy company faced scalability issues with its legacy middleware, which required scripting interfaces for enterprise applications and extensive external support to maintain. Reducing the coding requirements was a top priority for interviewees.
Resource constraints. Interviewees reported that high dependency on specialized skills for maintaining and developing integrations led to resource constraints and potential risks if key personnel left. This reliance on a limited pool of experts created bottlenecks and increased vulnerability to resource turnover. The interviewees said their organizations faced challenges in scaling their integration efforts due to the limited availability of skilled personnel, making it difficult to respond quickly to new integration needs.
The interviewees searched for a solution that could:
Support digital transformation initiatives. Interviewees told Forrester their organizations needed a solution that could facilitate the adoption of modern technologies, improve business agility, and enable innovation by integrating diverse data sources and applications.
Provide ease of use and flexibility. Interviewees were looking for a solution that offered a no-code/low-code interface that could enable more team members to participate in integration tasks and improve integration professional productivity. Additionally, they sought a solution that could support both on-premise and cloud environments to make it accessible and adaptable to various infrastructure needs.
Comprehensive connectivity and scalability. Interviewees needed a solution that connected to a wide range of systems and efficiently handles high-volume data transactions, supporting growing data and integration needs. This comprehensive connectivity ensured that data flowed seamlessly across various systems, enhancing scalability and performance.
Reduced risk and improved governance. Interviewees needed to reduce integration infrastructure by centralizing on a single solution to streamline data integration, eliminate data silos, and provide robust security features, ensuring data integrity and compliance.
Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the interviewees’ organizations, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
Description of composite. The composite organization is a global entity based in North America with $15 billion in annual revenue. It centralizes and streamlines data integration across various business systems, including enterprise resource planning (ERP), CRM, HR, security, and other systems, using SnapLogic. This facilitates efficient data movement to cloud platforms like AWS S3 and data warehousing solutions; enhancing business analytics; supporting real-time data processing, application and API integration; and enabling seamless connectivity for digital transformation initiatives. The organization employs 60 core FTEs across data engineering and developer roles, who spend 50% of their time on integrations.
Deployment characteristics. The composite organization deploys and migrates to SnapLogic over the course of six months in an initial implementation period. During this time, the composite organization sets up the SnapLogic platform, integrates it with existing systems, and begins training key personnel. After the initial implementation period, the composite organization starts to sunset legacy solutions and licensing over a three-year period. This gradual phaseout is necessary due to the nature of the technology and existing licensing agreements.
Throughout these three years, the composite organization continues to incrementally roll out more integration responsibilities to citizen integrators. Citizen integrators are technical resources who reside closer to business teams and have a deeper familiarity with business needs. While they may be less technical than traditional IT and developer staff, they possess the necessary skills to handle integration tasks using SnapLogic’s no-code/low-code interface. This approach allows the composite organization to optimize resource utilization and ensure that integration efforts are closely aligned with business objectives.
$15 billion in annual revenue
60 data engineers and developers focused on integration needs
| Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|
| Atr | Efficiency gains | $483,725 | $748,394 | $909,238 | $2,141,357 | $1,741,382 |
| Btr | Technology cost savings | $256,500 | $598,500 | $855,000 | $1,710,000 | $1,370,184 |
| Ctr | Technology support cost savings | $37,260 | $99,360 | $161,460 | $298,080 | $237,296 |
| Total benefits (risk-adjusted) | $777,485 | $1,446,254 | $1,925,698 | $4,149,437 | $3,348,862 |
Evidence and data. Interviewees reported efficiency gains as SnapLogic enabled their organizations to transfer a substantial portion of integration hours to citizen integrators. These technically skilled individuals, while more junior than fully skilled data engineers and developers, possessed the ability to create and manage integrations using SnapLogic’s user-friendly platform. Data engineering and developer realized additional savings through SnapLogic’s ease of use and automation, further enhancing productivity. This transfer of responsibilities and increased efficiency freed up data engineering and developer time to focus on integration management, training, enablement, and other strategic tasks.
The GM of enterprise integration at an energy organization highlighted the transformation of transferring integration tasks to citizen integrators, stating, “We have close to 150 active citizen integrators.” This shift enabled the central integration team to save at least 15% to 20% of their time on interface development due to the reusability, user management, and scalability provided by SnapLogic. Without SnapLogic, the interviewee noted their organization would have required an additional six developers to handle the current workload. This strategic move allowed data engineers and developers to focus on more critical tasks, thereby enhancing overall efficiency. By leveraging the capabilities of citizen integrators, this interviewee’s company optimized its resources and boosted productivity.
The data architect manager noted that the ease of use and flexibility of SnapLogic’s platform were particularly beneficial for their shipping organization. This interviewee reported increasing the speed to create new integrations by 80% to 90% with SnapLogic. This led to less time spent on manual programming, scripting, and moving data between systems. The data architect manager estimated savings 10 to 15 hours on data movement between systems. They noted, “SnapLogic’s drag-and-drop functionality made it easy for our team to create integrations without extensive coding knowledge. … A brand-new user can be up on their feet with one week of training.” Finally, the interviewee said the ease of use enabled rapid adoption of SnapLogic, proliferating access tenfold across citizen integrators. This user-friendly feature enabled citizen integrators to quickly adapt to the platform and actively contribute to integration tasks, streamlining processes and fostering collaboration.
The data architect at a construction company estimated developers using SnapLogic saved 10% to 15% time with mapping functions as compared to their legacy environment, which especially helped entry-level developers.
The VP of IT noted that switching to SnapLogic also led to increased efficiency for SnapLogic users at their consumer goods organization. The interviewee remarked that their team of two were 40% more efficient due to having one platform and due to SnapLogic’s ease of use.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
There are 60 FTEs across data engineering and developer roles. Before SnapLogic, these FTEs spent an average of 50% of their time on creating and managing integrations.
SnapLogic enables the composite organization to transfer 20% in Year 1, 30% in Year 2, and 35% in Year 3 of total integration hours to citizen integrators who are more familiar with integration requirements and business processes. This frees up data engineering and developer time to focus on integration management, training and enablement, and other strategic tasks. The number of hours increases year over year as the composite retires its legacy solution and migrates onto SnapLogic and as more citizen integrators adopt the new technology.
The average fully burdened annual salary for a data engineer and developer is $179,000, or $86 an hour.
The average fully burdened annual salary for a citizen integrator is $101,000, or $49 an hour.
Data engineering and developer who use SnapLogic increase their efficiency by 5% in Year 1, 10% in Year 2, and 15% in Year 3 in addition to transferring work to citizen integrators with SnapLogic compared to their legacy environment.
Forrester assumes the composite recaptures 50% of time savings that are reinvested into other strategic tasks.
Risks. Forrester recognizes that these results may not be representative of all experiences. The impact of this benefit will vary depending on:
The complexity and scale of the integration tasks being handled.
The proficiency and adaptability of citizen integrators, developers, and data engineers.
The level of automation provided by the new integration platform.
The organization’s ability to train and support citizen integrators effectively.
Results. To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.7 million.
Percentage of total integration hours transferred to citizen integrators
Efficiency improvements for data engineering and developer users of SnapLogic
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| A1 | Core data engineers and developers responsible for integrations before SnapLogic (FTEs) | Composite | 60 | 60 | 60 | |
| A2 | Hours spent on integration before SnapLogic per FTE | 2,080 hours*50% | 1,040 | 1,040 | 1,040 | |
| A3 | Total integration hours | A1*A2 | 62,400 | 62,400 | 62,400 | |
| A4 | Percentage of integration hours transferred to citizen integrators due to SnapLogic | Interviews | 20% | 30% | 35% | |
| A5 | Fully burdened hourly rate for a data engineer and developer | Composite | $86 | $86 | $86 | |
| A6 | Fully burdened hourly rate for a citizen integrator | Composite | $49 | $49 | $49 | |
| A7 | Cost of integration with data engineers and developers | A3*A4*A5 | $1,073,280 | $1,609,920 | $1,878,240 | |
| A8 | Cost of integration with business users | A3*A4*A6 | $611,520 | $917,280 | $1,070,160 | |
| A9 | Subtotal: Integration cost savings | A7-A8 | $461,760 | $692,640 | $808,080 | |
| A10 | Integration hours with SnapLogic for data engineers and developers | A3-(A3*A4) | 49,920 | 43,680 | 40,560 | |
| A11 | Additional efficiency improvements for core SnapLogic data engineers and developers | Interviews | 5% | 10% | 15% | |
| A12 | Productivity recapture | TEI standard | 50% | 50% | 50% | |
| A13 | Subtotal: Additional data engineer and developer time savings | A5*A10*A11*A12 | $107,328 | $187,824 | $261,612 | |
| At | Efficiency gains | A9+A13 | $569,088 | $880,464 | $1,069,692 | |
| Risk adjustment | ↓15% | |||||
| Atr | Efficiency gains (risk-adjusted) | $483,725 | $748,394 | $909,238 | ||
| Three-year total: $2,141,357 | Three-year present value: $1,741,382 | |||||
Evidence and data. Interviewees reported substantial technology cost savings after their organizations decommissioned multiple fragmented legacy integration systems and transitioned to SnapLogic’s cloud-based iPaaS platform. This shift not only reduced licensing and infrastructure costs but also eliminated the overhead associated with maintaining on-premises solutions. By consolidating integration efforts into a single, scalable cloud environment, the interviewees’ organizations streamlined their processes, improved agility, and gained access to continuous updates and innovations. The move to a modern iPaaS model ultimately delivered significant financial and operational benefits, positioning IT teams to support business growth more effectively.
The data architect noted that by migrating to SnapLogic, their construction organization avoided the high costs associated with its legacy solution licensing costs. The data architect mentioned, “We avoid an extra $2 million per year license fee if we were to continue using [our legacy solution].” This transition not only reduced financial burdens but also enhanced the efficiency and effectiveness of their organization’s integration processes.
The data architect manager said decommissioning of legacy solutions led to substantial savings for their shipping organization. The interviewee highlighted the financial benefits by stating, “We saved about $300,000 annually from decommissioning a data integration tool and more than half a million from decommissioning another data management platform.”
Cost-effective licensing was an advantage that the GM of enterprise integrated noted for their energy organization, whose legacy licensing and maintenance costs were 40% more expensive than its SnapLogic fee. This interviewee emphasized this benefit, noting, “We achieved a 33% reduction in integration licensing and maintenance costs by switching to SnapLogic [by retiring two legacy solutions].” This reduction was primarily due to the more affordable licensing and support costs of SnapLogic compared to legacy systems. By adopting SnapLogic, this interviewee’s organization was able to lower expenses while maintaining high-quality integration capabilities.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
The composite organization’s total licensing cost for multiple, disparate legacy integration solutions is $950,000 per year.
The composite organization decommissions 30% of legacy licenses in Year 1, 70% in Year 2, and fully sunsets legacy technology licensing costs by Year 3 as users migrate to SnapLogic and legacy licensing terms expire.
Risks. Forrester recognizes that these results may not be representative of all experiences. The impact of this benefit will vary depending on:
The cost of licensing and support for the legacy systems being decommissioned.
The extent to which the organization can consolidate integration efforts onto the new platform.
The specific financial constraints and budgetary considerations of the organization.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.4 million.
Avoided legacy integration solution licensing costs with SnapLogic
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| B1 | Legacy technology licensing fees | Composite | $950,000 | $950,000 | $950,000 | |
| B2 | Percentage of technology decommissioned | Composite | 30% | 70% | 100% | |
| Bt | Technology cost savings | B1*B2 | $285,000 | $665,000 | $950,000 | |
| Risk adjustment | ↓10% | |||||
| Btr | Technology cost savings (risk-adjusted) | $256,500 | $598,500 | $855,000 | ||
| Three-year total: $1,710,000 | Three-year present value: $1,370,184 | |||||
Evidence and data. By migrating from legacy, on-premises integration systems to SnapLogic’s iPaaS model, the interviewees’ organizations reduced the labor and complexity associated with maintaining outdated solutions. This transition eliminated the need to support multiple platforms, reduced downtime risk, and enhanced overall system performance, job speed, and uptime. With SnapLogic’s cloud-native architecture, the interviewees’ organizations had benefited from continuous updates, automated patches, and a more resilient infrastructure. These improvements enabled IT teams to shift their focus from routine maintenance to higher-value, strategic initiatives — ultimately driving greater productivity and operational efficiency.
The data architect manager at a shipping organization emphasized the benefits of reduced maintenance labor, stating, “SnapLogic’s automated upgrades and reduced manual intervention saved time and resources.” This automation minimized the need for extensive manual work, freeing up IT operations labor. Additionally, SnapLogic reduced the number of downtime incidents. The data architect manager said: “In the past, we had to incur downtime every day to reboot certain services, especially with Windows-based applications that were not stable. With SnapLogic, we can put a node into maintenance, reboot it, and bring it back without affecting production. This has significantly reduced our downtime incidents.”
As noted in the technology cost savings benefit above, the GM of enterprise integration said their energy organization reduced its technology costs by 33% by switching to SnapLogic, a portion of which was designated for support costs.
The VP of IT at a consumer goods organization remarked, “We’re on a single platform now that reduces risk because we’re in a lower-code environment.” This consolidation has simplified support processes and reduced the overall labor required for maintenance, further enhancing the efficiency and effectiveness of IT operations.
The data architect at a construction organization told Forrester they avoided 20 hours total of annual downtime with SnapLogic, achieving their 99.8% uptime requirements.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
The composite employs three IT operation FTEs to maintain the legacy on-premises solution.
The composite reduces the labor required to maintain legacy solutions by 15% in Year 1, 40% in Year 2 and 65% in Year 3, freeing up IT operations labor to focus on other value add tasks.
These resources recapture 80% of their time to dedicate to other productive tasks.
Risks. Forrester recognizes that these results may not be representative of all experiences. The impact of this benefit will vary depending on:
The degree of consolidation achieved by migrating to a single integration platform.
The reduction in code complexity and associated risks.
The organization’s existing support processes and how it adapts to the new platform.
The overall impact on the labor required for maintenance and support tasks.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $237,000.
Reduced legacy technology maintenance labor with SnapLogic
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| C1 | IT operation FTEs responsible for legacy solution maintenance | Composite | 3 | 3 | 3 | |
| C2 | Reduced maintenance labor with SnapLogic | Interviews | 15% | 40% | 65% | |
| C3 | Productivity recapture | TEI standard | 80% | 80% | 80% | |
| C4 | Fully burdened annual salary for an IT operations FTE | Composite | $115,000 | $115,000 | $115,000 | |
| Ct | Technology support cost savings | C1*C2*C3*C4 | $41,400 | $110,400 | $179,400 | |
| Risk adjustment | ↓10% | |||||
| Ctr | Technology support cost savings (risk-adjusted) | $37,260 | $99,360 | $161,460 | ||
| Three-year total: $298,080 | Three-year present value: $237,296 | |||||
Interviewees mentioned the following additional benefits that their organizations experienced but were not able to quantify:
Increased revenue growth. Interviewees mentioned that SnapLogic improved top-line revenue results by enabling faster and more efficient integration of new business processes and services. The data architect manager at a shipping organization told Forrester their organization utilized SnapLogic as the data layer to centralize and aggregate data from various sources, enabling them to build a logistics feature that accurately estimated package delivery times with 95% accuracy. This real-time information allowed vendors to offer customers discounts on shipping based on the estimated delivery times, thereby enhancing customer satisfaction and operational efficiency. Ultimately, this feature created a new revenue stream for the interviewee’s shipping organization, as vendors paid for access to the API providing these valuable insights
The VP of IT at a consumer goods organization shared, “Now that we’ve deployed SnapLogic, I’ve been able to have conversations with our dealers to integrate their point-of-sales systems with our organization.” This integration provided real-time visibility of inventory and sell-through data, enhancing dealer relationships and driving revenue growth. By facilitating these integrations, SnapLogic enabled the interviewee’s consumer goods organization to launch new initiatives that were previously not feasible, thereby contributing to revenue growth.
Enhanced business agility and faster time to market. As part of their organizations’ digital transformation, interviewees highlighted the benefits of moving to SaaS-based solutions like SnapLogic over building and maintaining on-premises infrastructure. This shift enabled greater connectivity through SnapLogic’s extensive library of connectors, which facilitated the rapid development of interfaces and data integrations across multiple enterprise applications. A data architect at a construction organization shared, “With SnapLogic, the jobs our developers create run 20% faster,” underscoring the platform’s ability to accelerate integration development and deployment. These speed gains allowed the interviewees’ organizations to respond more quickly to changing business needs and market conditions, helping them maintain competitiveness and capitalize on opportunities more effectively.
This agility translated into measurable performance improvements. A VP of IT noted that SnapLogic “ran exponentially faster” than other products tested during their consumer goods organization’s RFP process. Similarly, the general manager of enterprise integration at an energy organization emphasized, “SnapLogic’s integration ran exponentially faster than every other platform we tested,” estimating a 20% to 25% improvement in overall time to market.
Improved data quality. Interviewees said SnapLogic ensured consistent and accurate data across systems, leading to better decision-making and business insights. The data architect manager at a shipping organization mentioned: “Before SnapLogic, each person had to pull data separately, leading to multiple copies of the same data and increased expenses. SnapLogic allowed us to centralize data into Snowflake, enabling data sharing and reducing redundancy.” This centralized data management improved data quality, operations, and supported better business decisions. Accurate data integration reduced errors and inconsistencies, providing a reliable foundation for analytics and strategic planning.
Improved scalability. Interviewees said that SnapLogic’s ability to handle high-volume data transactions and scale with growing data needs supported their organizations’ expansion and growth. This capability ensured that the platform could manage increasing data loads efficiently. As businesses grew, SnapLogic’s architecture allowed the interviewees’ organizations to handle larger datasets and more complex integrations without performance degradation.
Reduced risk and improved governance. By consolidating integrations onto a single platform, the interviewees’ organizations reduced the risk of errors and inconsistencies in data and processes. The VP of IT at a consumer goods organization mentioned, “We’re on a single platform now that reduces risk because we’re in a lower-code environment.” This consolidation minimized the chances of integration failures and data inconsistencies. A unified platform provided a single source of truth for data to ensure compliance with data policies.
The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement SnapLogic and later realize additional uses and business opportunities, including:
Support for digital transformation and AI adoption. The interviewees noted the next stage in their organizations’ digital transformation is generative AI (genAI). GenAI is pivotal for improving efficiency and outcomes within their organizations. By automating complex tasks and generating insights from vast amounts of data, interviewees said generative AI can reduce the time and resources required for various processes, leading to faster decision-making, enhanced productivity, and more accurate predictions, ultimately driving better business outcomes. Interviewees mentioned SnapLogic’s platform was uniquely positioned to enable their organizations to implement generative AI effectively. Additionally, interviewees expressed enthusiasm for SnapLogic’s generative AI solutions and AI-supported workflows, such as SnapGPT, which leverages large language models to transform business intentions into technical implementations. The data architect manager at a shipping organization stated: “SnapLogic supports most of the latest drivers. It’s very flexible and can adopt AI and other things later.” This flexibility was crucial for ongoing digital transformation efforts. By integrating cutting-edge technologies, SnapLogic helped the interviewees’ organizations stay ahead in their digital journey.
Flexibility would also be quantified when evaluated as part of a specific project (described in more detail in Total Economic Impact Approach).
| Ref. | Cost | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|---|
| Dtr | SnapLogic fees | $0 | $210,000 | $367,500 | $525,000 | $1,102,500 | $889,068 |
| Etr | Implementation, training, and ongoing costs | $244,860 | $24,024 | $24,024 | $24,024 | $316,932 | $304,604 |
| Total costs (risk-adjusted) | $244,860 | $234,024 | $391,524 | $549,024 | $1,419,432 | $1,193,672 |
Evidence and data. Interviewees reported that the fees paid to SnapLogic were structured on a subscription basis, with costs varying depending on the scale and specific needs of their organizations. The subscription model included unlimited data movement and integrations, making it easier for the interviewees’ organizations to budget for their integration needs. Additionally, interviewees noted SnapLogic provided support, including online training and dedicated customer success managers, as part of the subscription package. This pricing structure allowed the interviewees’ organizations to manage their integration expenses predictably while benefiting from comprehensive support services.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
The composite organization pays $200,000 in SnapLogic fees in Year 1, $350,000 in Year 2, and $500,000 in Year 3. This increase in costs over the three-year period is attributed to the incremental adoption of SnapLogic across the organization and the gradual retirement of legacy solutions.
In Year 1, the composite organization begins with a smaller-scale deployment of SnapLogic, focusing on key centralized teams who manage most enterprisewide integrations. By Year 2, the composite organization expands its use of SnapLogic, integrating more systems and increasing the number of citizen integrator users. In Year 3, it continues to scale its use of SnapLogic, fully retiring legacy solutions and migrating additional integration responsibilities to the platform. The higher cost is justified by the reduction in expenses associated with maintaining multiple legacy systems and the enhanced efficiency and performance achieved through SnapLogic’s centralized integration platform.
Pricing may vary. Contact SnapLogic for additional details.
Risks. Forrester recognizes that these results may not be representative of all experiences. The impact of this benefit will vary depending on:
Fluctuation in subscription fees.
Unexpected increase in user adoption.
Changes in licensing terms.
Underutilization.
Results. To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $889,000.
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| D1 | SnapLogic fees | Composite | $200,000 | $350,000 | $500,000 | |
| Dt | SnapLogic fees | D1 | $0 | $200,000 | $350,000 | $500,000 |
| Risk adjustment | ↑5% | |||||
| Dtr | SnapLogic fees (risk-adjusted) | $0 | $210,000 | $367,500 | $525,000 | |
| Three-year total: $1,102,500 | Three-year present value: $889,068 | |||||
Evidence and data. Interviewees described the implementation of SnapLogic as a comprehensive process involving migration, change management, and technical integration. For example, the data architect manager at a shipping organization mentioned that the migration took place over several phases with each phase requiring dedicated resources and careful planning. The GM of enterprise integration at an energy organization highlighted that the implementation involved systematic and multiphase rollout processes, dedicating approximately seven employees to assist with implementation and support.
Formal training sessions were essential to ensure that employees understood how to use SnapLogic effectively. The VP of IT at a consumer goods organization noted that initial training took about 8 to 10 hours, involving several hours of pre-licensing training, app-specific training, and ongoing practice. Additionally, informal ongoing training and discovery were necessary to help users continuously improve their skills and adapt to new features. The data architect manager at a shipping company said a brand-new user could be trained within a week.
Ongoing management of SnapLogic included maintaining a help desk, providing regular updates, and managing system changes. The data architect manager at a shipping organization emphasized that SnapLogic’s automated upgrades and reduced manual intervention saved time and resources. The GM of enterprise integration at an energy organization mentioned that their team — totaling 0.7 FTE worth of effort — continued to support SnapLogic by handling change management and technical integration.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
The implementation of SnapLogic lasts a total of six months and requires three FTEs’ worth of effort throughout.
The fully burdened hourly rate for an IT operations FTE is $55, or $115,000 annually.
Sixty data engineers and developers spend 5 hours on formal and informal training on SnapLogic.
One hundred citizen integrators spend 10 hours on formal and informal training on SnapLogic.
The composite organization dedicates 0.2 IT operation FTEs to ongoing management for SnapLogic, ensuring the platform runs smoothly, handling routine maintenance tasks, and addressing any issues that arise.
Risks. Forrester recognizes that these results may not be representative of all experiences. The impact of this benefit will vary depending on:
Integration complexity.
The need for continuous support.
Change management challenges.
Training requirements.
Data quality and hygiene.
Employee turnover.
Results. To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $305,000.
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| E1 | Total implementation FTEs | Composite | 3 | |||
| E2 | Total implementation months | Composite | 6 | |||
| E3 | Total implementation hours | E1*E2*160 hours | 2,880 | |||
| E4 | Fully burdened hourly rate for an IT operations FTE | Composite | $55 | |||
| E5 | Subtotal: Total internal implementation labor costs | E3*E4 | $158,400 | |||
| E6 | Data engineers and developer FTEs | A1 | 60 | |||
| E7 | Hours of training required per integration engineer | Interviews | 5 | |||
| E8 | Fully burdened hourly rate for a data engineer and developer | A5 | $86 | |||
| E9 | Citizen integrators FTEs | Composite | 100 | |||
| E10 | Hours of training required per citizen integrator | Interviews | 10 | |||
| E11 | Fully burdened hourly rate for a citizen integrator | Composite | $49 | |||
| E12 | Subtotal: Total training costs | (E6*E7*E8)+(E9*E10*E11) | $74,800 | |||
| E13 | IT operations FTEs dedicated to ongoing management of SnapLogic | Interviews | 0.20 | 0.20 | 0.20 | |
| E14 | Total hours dedicated to ongoing management | E13*2,080 hours | 416 | 416 | 416 | |
| E15 | Fully burdened hourly rate for an IT operations FTE | E4 | $55 | $55 | $55 | |
| E16 | Subtotal: Total ongoing costs | E14*E15 | $22,880 | $22,880 | $22,880 | |
| Et | Implementation, training, and ongoing costs | E5+E12+E16 | $233,200 | $22,880 | $22,880 | $22,880 |
| Risk adjustment | ↑5% | |||||
| Etr | Implementation, training, and ongoing costs (risk-adjusted) | $244,860 | $24,024 | $24,024 | $24,024 | |
| Three-year total: $316,932 | Three-year present value: $304,604 | |||||
| Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
|---|---|---|---|---|---|---|
| Total costs | ($244,860) | ($234,024) | ($391,524) | ($549,024) | ($1,419,432) | ($1,193,672) |
| Total benefits | $0 | $777,485 | $1,446,254 | $1,925,698 | $4,149,437 | $3,348,862 |
| Net benefits | ($244,860) | $543,461 | $1,054,730 | $1,376,674 | $2,730,005 | $2,155,190 |
| ROI | 181% | |||||
| Payback | <6 months |
The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.
These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.
The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.
From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment in SnapLogic.
The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that SnapLogic can have on an organization.
Interviewed SnapLogic stakeholders and Forrester analysts to gather data relative to SnapLogic.
Interviewed four decision-makers at organizations using SnapLogic to obtain data about costs, benefits, and risks.
Designed a composite organization based on characteristics of the interviewees’ organizations.
Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.
Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.
Benefits represent the value the solution delivers to the business. The TEI methodology places equal weight on the measure of benefits and costs, allowing for a full examination of the solution’s effect on the entire organization.
Costs comprise all expenses necessary to deliver the proposed value, or benefits, of the solution. The methodology captures implementation and ongoing costs associated with the solution.
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. The ability to capture that benefit has a PV that can be estimated.
Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”
The present or current value of (discounted) cost and benefit estimates given at an interest rate (the discount rate). The PV of costs and benefits feed into the total NPV of cash flows.
The present or current value of (discounted) future net cash flows given an interest rate (the discount rate). A positive project NPV normally indicates that the investment should be made unless other projects have higher NPVs.
A project’s expected return in percentage terms. ROI is calculated by dividing net benefits (benefits less costs) by costs.
The interest rate used in cash flow analysis to take into account the time value of money. Organizations typically use discount rates between 8% and 16%.
The breakeven point for an investment. This is the point in time at which net benefits (benefits minus costs) equal initial investment or cost.
Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.
1 Source: The Integration-Platform-As-A-Service Landscape, Q2 2025, Forrester Research, Inc., April 9, 2025.
2 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.
Readers should be aware of the following:
This study is commissioned by SnapLogic and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in SnapLogic.
SnapLogic reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.
SnapLogic provided the customer names for the interviews but did not participate in the interviews.
Luca Son
May 2025
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© Forrester Research, Inc. All rights reserved. Unauthorized reproduction is strictly prohibited. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. Forrester®, Technographics®, Forrester Wave, and Total Economic Impact are trademarks of Forrester Research, Inc. All other trademarks are the property of their respective companies.
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