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    SnapLogic

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    Sold by: SnapLogic 
    Deployed on AWS
    SnapLogic is the Agentic Integration Company, integrating AI, data, applications, and microservices into one powerful platform that transforms how enterprises connect, automate, and scale. Unlike legacy integration tools, SnapLogic is built for the AI era and trusted by global leaders, including AstraZeneca, Adobe, Verizon, and Sony. With its industry-leading platform, SnapLogic empowers every team across the enterprise to securely integrate applications, automate business processes, and orchestrate agentic workflows at scale. SnapGPT, an AI copilot built into the platform, enables any user to describe an integration in plain language and have it built automatically, reducing dependency on specialist engineering resources.
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    Overview

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    The SnapLogic Platform is a leading iPaaS that empowers business and IT teams to quickly and intuitively move data to and from Amazon Redshift, surfacing critical business insights that drive better decisions. Teams are also empowered to create custom integrations that enable automated business processes. SnapLogic is devoted to making data migration, data warehousing, and data integration easy, intuitive, and fast.

    With SnapLogic's Amazon Redshift Snap Packs, users can create and manage Redshift integration pipelines via drag-and-drop and AI-assisted recommendation logic. Our AI-powered integration platform improves developer productivity by 15%. In addition to the 14 Redshift Snaps, we offer over 1,000 Snaps to connect different data sources, including on-premise apps like ERPs, SaaS apps, and mobile and device data. SnapLogic has over 100 Amazon Redshift customers, including Adobe, AstraZeneca, HBO, Sony, Workday, Ikea, Stanford, EERO, Kaplan, and Asana. Use Cases where we have been successful include data integration to Redshift, S3, DynamoDB, and SQS, and migrating up to petabytes of data into our customers' Redshift environments.

    The SnapLogic Agentic Integration Platform simplifies onboarding for customers of Amazon Redshift, DynamoDB, SQS, and Relational Database Service (RDS). With SnapLogic, customers move data in and out of Redshift, DynamoDB, SQS, and RDS at any latency (batch, real-time, and via triggers). Find SnapLogic on the AWS Marketplace and learn more about our Professional Services Packages.

    SnapLogic also supports cloud data warehouses and data lakes. Plus, intelligent connectors called Snaps are available for 1,000+ different cloud and on-premises data sources and applications such as Salesforce, Microsoft SQL Server, Workday, IBM DB2, PostgreSQL, SAP, Teradata, NetSuite, and Netezza.

    SnapLogic also has a Sagemaker reference architecture. SnapLogic uses Sagemaker to help build SnapLogic, where customers can benefit from our combined years of AI/ML experience. The SnapLogic Platform is purpose-built for the AI era. SnapGPT, a built-in AI copilot, enables business users and integration specialists alike to build pipelines, automate processes, and orchestrate workflows using natural language. AgentCreator builds on this, allowing teams to design, deploy, and manage AI agents that operate autonomously across enterprise systems. With native MCP support, those agents can securely connect to any MCP-compatible tool or data source, making SnapLogic a foundational layer for enterprise AI infrastructure.

    For more information: https://www.snaplogic.com/resources/ebooks/9-reasons-to-jump-start-your-cdw-on-aws 

    https://www.snaplogic.com/resources/white-papers/boost-productivity-efficiency-generative-ai-snaplogic-aws 

    https://www.snaplogic.com/resources/case-studies/digital-federal-credit-union-building-a-modern-serverless-infrastructure 

    https://www.snaplogic.com/partners/amazon-web-services 

    Highlights

    • SnapLogic customers process >960B transactions per month into Redshift, increasing AWS revenue via consumption.
    • Forrester reveals a customer ROI of 181% and total benefits of over $3.3 million over three years for the SnapLogic platform.
    • SnapLogic's agentic integration platform enables 35% of integration hours to transfer to citizen integrators and improves efficiency for core SnapLogic data engineers and developers by 15%.

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    Pricing

    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (4)

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    Dimension
    Description
    Cost/12 months
    SnapLogic Platform
    Data and Application Integration Platform
    $125,000.00
    IIP for Amazon Connect
    SnapLogic add on for Amazon Connect
    $0.00
    IIP for Higher Education
    SnapLogic for Higher Education
    $125,000.00
    Snaplogic Mainframe Accelerator
    Mainframe Accelerator uses AI to connect z/OS and load data into a CDW
    $0.00

    AI Insights

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    Dimensions summary

    This listing bills through contracts priced in units. You start with the SnapLogic Platform, the base data and application integration platform. Three add-ons extend it for specific needs. IIP for Amazon Connect adds contact-center integration. IIP for Higher Education targets education workflows. The Snaplogic Mainframe Accelerator uses AI to connect mainframe systems and load data into a cloud data warehouse. Each dimension is sold in units, so you scale by adjusting unit quantity. The add-ons are independent options layered on the platform rather than tiers you upgrade between.

    Top-of-mind questions for buyers

    Each dimension is priced in units, and unit definitions depend on the endpoints and connectors you configure. You choose the data and application endpoints you want to connect. Pricing follows a package approach tied to those connections rather than to data volume, since data movement, pipelines, and transformations are unlimited.
    No. Data movement, pipelines, and transformations are unlimited at the same price. You can create as many connections to an endpoint as you need. Cost changes when you adjust the unit quantity or add connectors, not when data volume grows. Deploying on GroundPlex or CloudPlex does not change the price.
    The SnapLogic Platform is the base you start with. IIP for Amazon Connect, IIP for Higher Education, and the Mainframe Accelerator are independent add-ons layered on top. You buy only the ones you need in units. Each bills separately alongside the platform rather than replacing it.
    www.snaplogic.com
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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    10
    In Healthcare & Life Sciences
    Top
    50
    In Data Warehouses, ELT/ETL
    Top
    25
    In Data Warehouses, ELT/ETL

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
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    Overview

     Info
    AI generated from product descriptions
    AI-Assisted Integration Development
    SnapGPT AI copilot enables users to describe integrations in plain language for automatic pipeline construction, and AgentCreator allows design and deployment of autonomous AI agents across enterprise systems.
    Multi-Source Data Connectivity
    Over 1,000 intelligent connectors called Snaps available for cloud and on-premises data sources including Salesforce, SAP, Workday, IBM DB2, PostgreSQL, Teradata, NetSuite, and Redshift.
    Drag-and-Drop Pipeline Management
    Drag-and-drop interface with AI-assisted recommendation logic for creating and managing data integration pipelines, including 14 dedicated Redshift Snaps.
    Multi-Latency Data Movement
    Support for batch, real-time, and trigger-based data movement across AWS services including Redshift, DynamoDB, SQS, and RDS.
    Native MCP Support for Agent Integration
    Agents can securely connect to any MCP-compatible tool or data source, providing a foundational layer for enterprise AI infrastructure.
    Codeless Visual Development Interface
    Drag and drop visual UI enabling users to build data integrations without coding, with pre-built templates and integration wizards for accelerated development
    Parallel Data Integration Architecture
    Highly scalable parallel data integration architecture supporting both ETL and ELT patterns with pushdown optimization for maximum throughput and performance into Amazon Redshift
    Multi-Source Connectivity
    Native connectors supporting hundreds of applications and data sources across on-premises and cloud environments including AWS services (Redshift, S3, RDS, Aurora) and enterprise applications (Salesforce, Workday, Oracle, SAP, ServiceNow)
    FedRAMP Compliance
    FedRAMP authorization including Integration Base, Data Integration, and tiered connectors (Tier B, C, D) for government cloud deployments
    Data Integration and Synchronization
    Capabilities for data warehousing, data lake initiatives, and task flow orchestration with support for scheduling and automation of data synchronization across multiple sources and destinations
    Agentic Automation
    Autonomous AI agents that build, modify, and maintain production data pipelines across the delivery lifecycle
    Schema Drift Detection
    Automated detection and remediation workflows for schema changes in data pipelines
    Git-Compatible Pipeline Output
    Production-ready pipeline code that is compatible with Git version control and CI/CD practices
    Integrated Data Lineage and Visibility
    Built-in lineage tracking and operational visibility for monitoring data pipeline execution and dependencies
    Pushdown SQL Architecture
    SQL computation pushed to the data warehouse layer for optimized query execution and reduced data movement

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4.4
    442 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    63%
    31%
    4%
    1%
    1%
    17 AWS reviews
    |
    425 external reviews
    External reviews are from G2  and PeerSpot .
    reviewer2905968

    Data migration projects have saved time and cost but the interface still needs to improve for newcomers

    Reviewed on Oct 01, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for SnapLogic is for different projects involving data migrations. We need to migrate data from our old SQL database to SnapLogic. I am mainly using it for this purpose and am currently learning the platform. Data migration is the primary project we are using SnapLogic for at this time.

    How has it helped my organization?

    SnapLogic has positively impacted my organization by optimizing time management. Previously, we were spending more time on these processes, but now we are using significantly less time compared to our previous methods. It has been very helpful in the management of time. Our customers are also happy with the results. SnapLogic is saving time and cost for us, which creates a win-win situation.

    What is most valuable?

    SnapLogic offers many valuable features including Snaps, which provides different methods, exception handling, error handling, and a good user interface. I find Snaps to be the most helpful feature. Snaps are excellent because they offer drag and drop functionality that we can use easily. We can utilize different Snaps for various purposes, which I have found to be helpful.

    Regarding SnapLogic's governance and security capabilities, I believe they are very secure and good. The security is excellent. Regarding SnapLogic's accuracy and reliability of output, I find it to be reliable. SnapLogic uses AI power, so we can trust the output.

    What needs improvement?

    I feel SnapLogic can be improved, particularly on the user interface side. While it is good, I believe we can improve the GUI further. This improvement would help newcomers by making the interface more user-friendly. This is my suggestion at this time.

    For how long have I used the solution?

    I have been using SnapLogic for six months. I am relatively new to SnapLogic, having started using this technology just recently within the past six months.

    What other advice do I have?

    SnapLogic is a powerful tool that is easy to use. It is more beneficial, more secure, and more stable compared to other tools I have used previously. I can recommend this to everyone. I have rated SnapLogic a seven out of ten because there are some improvements that I feel need to be done, but otherwise everything is good. I chose seven out of ten for this reason since everything requires some improvements.

    Martin Hickmans

    Reliable data pipelines have doubled weekly timesheet processing without extra staff

    Reviewed on Sep 30, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for SnapLogic is data ingestion. We have lots of data, but the main one is connecting out to APIs and SQL databases, bringing them into all the various system sources that we have within the business.

    A specific example of a process or workflow I run with SnapLogic for data ingestion is that we recently built a data lakehouse within Databricks. We use SnapLogic to connect to all of the system data sources, and with a little bit of logic, we create Parquet files for Databricks ingestion.

    How has it helped my organization?

    SnapLogic has positively impacted my organization in that unlike other tools that we have used, no one in the business really notices or worries that SnapLogic is handling data. We don't get failures, we don't get issues, and we don't get week on week issues with the processes; it just works.

    This reliability has translated into measurable outcomes for my team. The amount of timesheets that we deal with now without issues week on week is probably double what it originally was. It has gone from 5,000 timesheets a week to 10,000 timesheets a week with no noticeable impact from the business.

    What is most valuable?

    The best features SnapLogic offers include a good range of connectors that is very broad. We have not found any systems that we cannot use SnapLogic to connect to either to pull data from or push data to. Additionally, SnapLogic has good professional services that are very supportive if we have issues or if we have use cases that we want to discuss with them to make sure that we are doing things in the appropriate way.

    The support from SnapLogic's professional services has made a difference for my team and projects because they basically keep us on a solid footing. They make sure that we are not missing out on features within SnapLogic, and they are always open to discussing with us what we are currently working on.

    SnapLogic integrates with other tools or platforms in my tech stack very well.

    SnapLogic handles data transformation and mapping for my use cases very well.

    I would describe the documentation and learning resources provided by SnapLogic as really good.

    What needs improvement?

    SnapLogic can be improved by not keeping some of the connectors that would be very useful as a premium connector.

    I handle monitoring and alerting for my SnapLogic pipelines by noting that the issue with SnapLogic is that you have to be an environment admin to be able to see the monitoring. This makes it quite difficult to do it from within the software. We have to bring the alerts out into a SQL database and report from there.

    For how long have I used the solution?

    I have been using SnapLogic for four years.

    What do I think about the stability of the solution?

    SnapLogic is stable.

    What do I think about the scalability of the solution?

    SnapLogic's performance when dealing with large-scale or high-volume data processes is very good.

    SnapLogic's scalability has never presented an issue, as our initial setup has been the same, and we have never had an issue.

    How are customer service and support?

    The customer support for SnapLogic is very good, as tickets get resolved within SLA.

    I would rate the customer support on a scale of one to ten as a ten.

    Which solution did I use previously and why did I switch?

    Before SnapLogic, I previously used several solutions such as Power Automate and SSIS packages. We had many different processes trying to do the same job, so we were able to consolidate this within SnapLogic.

    What was our ROI?

    I have seen a return on investment. There are not exact metrics, but the fact that we can process so many without additional people in the business has been a bonus.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing is generally good, but the frustration is that some of the snap packs that we would like are held behind a kind of premium additional cost, which is frustrating.

    Which other solutions did I evaluate?

    Before choosing SnapLogic, I evaluated other options such as Power Automate and PagerDuty.

    What other advice do I have?

    I would rate SnapLogic overall as a nine out of ten. I choose nine out of ten because it has been far better than anything else that I have used previously. The fact that it just works is a massive bonus, and the only mark that I have against it is that some of the connectors are an additional cost because they class them as premium.

    Regarding SnapLogic's AI capabilities, from what I know, its governance and security seem to be very well thought out. I don't actually use the AI features very much.

    SnapLogic is deployed in my organization in a hybrid cloud and on-premise setup.

    It was fairly easy for my team to learn SnapLogic since it is low code, so it was not very difficult.

    SnapLogic supports compliance requirements in my organization since we don't use SnapLogic to store any data, so there are no issues with that.

    My advice to others looking into using SnapLogic is to look at the premium snaps that you know you think you need, not just the initial cost.

    Kyle Canham

    Automation has replaced manual banking file work and now empowers non-coders to handle data

    Reviewed on Sep 29, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for SnapLogic is to automate SFTP pickups and banking integrations, and I also use it for data formatting, changing CSVs into different types of files, filling out data, and completely changing it for all sorts of data work.

    A specific example of a workflow I automate with SnapLogic is when we receive a file from a bank about different transactions in US dollars and in Philippine currency as a text file in an old bank style format that needs to be converted into an Excel sheet for one of our other platforms.

    In this example, I first transform the file and remove any unnecessary data. Since the file is a text file without proper spreadsheet formatting and no real columns, I must ensure that I am reading and formatting the file correctly into columns and rows so that it displays properly for our other platforms.

    In addition to my main use cases with SnapLogic, I also use it in a couple of places to work with our internal APIs as a company, where clients want to provide us data, whether it may be a list of customers or a list of accounts that they work with, and they want to give it to us in a CSV format and do not feel comfortable using an API and calling it.

    How has it helped my organization?

    The process of transforming that file takes less than sixty seconds with SnapLogic, and before I started using the platform, we would have to do it by hand by copying and pasting content from the text file into Excel, which was a very manual workflow.

    SnapLogic has impacted my organization positively by removing a lot of manual work from people who were doing that tedious work, allowing them to focus on tasks that require more skill and are better uses of their time.

    While I do not have any cost numbers or time-saved numbers, I believe we went from approximately five or six platforms that we were using for different purposes to being able to use SnapLogic in place of those.

    What is most valuable?

    Some of the best features SnapLogic offers include the visual coding approach with small blocks that I can write without needing any programming knowledge, whereas a lot of what we were doing, if it was not done manually, would have to be done by writing scripts of some sort.

    It has meant that getting new users into using SnapLogic has been incredibly easy, and while there is going to be a learning curve with every platform, SnapLogic has really simplified the process and has meant that people who would not necessarily have been able to do some of this work can be trained to do it because it is quite simple once they get the hang of it.

    One feature that deserves a mention is that whenever I need to write an expression for any of my snaps, there is an autofill option that attempts to guess what I am working with, pulling data from any of the snaps to either side of it to try and determine what I am doing.

    What needs improvement?

    I do think some of the documentation could be improved as it can be a bit hard to parse, and sometimes there are simply not as many examples of things or ways to use some of the snaps as there could be.

    The interface recently got an upgrade which was very needed because before it was very dated and a bit clunky, and it definitely looks a lot better now, and the speed has never really been an issue.

    I think the documentation issue is what keeps SnapLogic from being perfect for me, along with some instances where snaps for things such as joining tables or filtering things do not work exactly how one might think they do intuitively.

    For how long have I used the solution?

    I have been using SnapLogic for about two and a half years.

    What do I think about the stability of the solution?

    From what we have experienced, I would think SnapLogic is stable.

    What do I think about the scalability of the solution?

    I think SnapLogic's scalability is pretty decent, but we have not had to scale it up massively since I am in quite a small startup, so I do not know if it is hugely applicable.

    How are customer service and support?

    Customer support for SnapLogic has been really good.

    I would rate the customer support a nine on a scale of one to ten.

    Which solution did I use previously and why did I switch?

    I did not previously use a different solution before SnapLogic that was very similar.

    Which other solutions did I evaluate?

    I believe we also looked at Zapier before choosing SnapLogic, but our other options were mainly continuing what we were doing with manual and scripting work.

    What other advice do I have?

    I would give SnapLogic a nine on a scale of one to ten.

    I think SnapLogic's accuracy and reliability of output is pretty accurate.

    In terms of SnapLogic's AI capabilities, I think it is pretty good, but I am not particularly well-versed in that area, so I cannot give a very strong answer on it.

    My advice for others looking into using SnapLogic is to think about what you are going to use it for because there are so many things you can do, and make sure you understand what they are before bringing it on board.

    Rajeev Natla

    Integrated people and financial data have streamlined vendor reporting and ongoing ETL workflows

    Reviewed on Sep 29, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for SnapLogic involves all the ETL applications where I need to get data from sources and then perform transformations and either send it to downstream applications within our firm or to any external vendors that need specific data sets.

    For one of those ETL processes, I can give a specific example where some applications need data related to people and some of their transactions, which we hold in different applications. For people data, we use SnapLogic to connect to Workday and get their information such as first name, surname, preferred surname, and HR number, while their transactions, which are the things they actually work on, do not exist in Workday. These transactions are stored in a different application called 3E. In the same integration, SnapLogic gets people data from Workday and financial data from 3E, which is related to different users, and then we map them together by using joins and send all the user-related data along with their related financial transactions. We group them together, and each of the user data will be sent to an external vendor.

    This main use case is our primary use case in most of the integrations.

    How has it helped my organization?

    SnapLogic has positively impacted our organization because over time, we have only started building more and more integrations within SnapLogic. Although about three or four integrations have been decommissioned, within that time span, we have built at least ten or fifteen more integrations, so I can see it is only growing bigger.

    Regarding the outcomes I have seen, recently since AI tools have picked up, there was SnapGPT within SnapLogic, which understands everything specifically to SnapLogic, and that has helped me a lot. It also builds the pipelines for me and does the mappings when I use basic English to explain what I want as an output from the data that is going into the snaps, making it quite helpful in using SnapGPT.

    What is most valuable?

    The best features SnapLogic offers make it very simple to use, so it only took me around two or three months to get used to the interface, and in the past five to six years, I have noticed that there have not been many big changes. It is nothing very difficult to learn, as it has always been very simple with the interface and everything being quite easy to learn.

    I would add that all the connectors we have include the basic set of Snap Packs, and I am very much familiar with them. Over time we did purchase some premium Snap Packs because we wanted to connect to different applications which were not offered by default, such as Azure Service Bus and Databricks, and we do have documentation available online, which helps us understand clearly without actually having to reach out to support to understand how to use them.

    What needs improvement?

    SnapLogic can be improved by generating SQL queries within SnapGPT, including the variables, as it would be very useful because lately, I have been using other AI tools such as Claude or ChatGPT to generate SQL queries. If SnapLogic SnapGPT can do that efficiently, then that would be very helpful.

    It would be easier if there were a support chat option within the pipeline so that we do not have to raise a ticket on the portal to explain what is happening and then grant access. If by default, in the test environment and dev, not in prod, we could add a chat option where a live chat person can actually be contacted within SnapLogic itself, that would be very helpful.

    For how long have I used the solution?

    I have been using SnapLogic for six years.

    What do I think about the stability of the solution?

    In my experience, SnapLogic is stable.

    What do I think about the scalability of the solution?

    SnapLogic's scalability measures are evident as we use it for small integrations that run under thirty seconds and some integrations that run for about five to six hours as well. So far, I do not think anything has caused any issues, so it is stable. Scalability-wise, I think we can go from small minimum integrations to a massive one.

    How are customer service and support?

    SnapLogic customer support is quite helpful, and we have a customer success manager who increases the priority on our tickets when we say something is really important and we want a resolution as soon as possible. Overall, support and our CSM have been very helpful. On a scale of one to ten, I rate SnapLogic customer support a nine.

    Which solution did I use previously and why did I switch?

    Before SnapLogic, I do not think we used any other solutions or similar applications, as I believe it has been about eight years since we introduced SnapLogic. Prior to that, we had SAP and Workday, with all different applications sitting on their own without connecting many applications, from what I know. SnapLogic was the first application of its kind that we introduced in our firm.

    Which other solutions did I evaluate?

    Before choosing SnapLogic, I was not there eight years ago, so I would not know if they evaluated other options.

    What other advice do I have?

    SnapLogic is deployed in our organization where all our SnapLogic nodes are on-premises, so we have not migrated to the cloud yet. The advice I would give to others looking into using SnapLogic is that it is very simple to use. I understand this is a low-code platform, but being a low-code platform, it is quite efficient, and I could recommend it to anyone. I rate SnapLogic an overall nine out of ten.

    Kapil_Jain

    Faster data migrations have transformed delivery times and now improve customer satisfaction

    Reviewed on Sep 28, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for SnapLogic is creating pipelines for data migration projects.

    A specific example of a pipeline I have built for a data migration project is when we have our old product in a different technology that we are moving to the new product. For that, we are moving the data from SQL to the Next Gen SQL database. We are creating pipelines through which we are moving the data from the old product to the new product.

    As of now, we are only using SnapLogic for data migration projects.

    How has it helped my organization?

    SnapLogic has positively impacted my organization in terms of revenue and customer satisfaction.

    The faster delivery is one significant point, and our customers were very happy. Earlier, we used other tools that took around a year, and because of SnapLogic, we were able to complete tasks within months, so they were very satisfied with this tool.

    What is most valuable?

    The best features SnapLogic offers include various Snaps we use, such as Get, Get Post, and error handling, which is a very good feature. Error handling allows us to easily identify if we have any errors in our migration pipelines.

    The error handling feature has helped me during my migrations because when we moved a lot of data, we opened our error log and could easily identify all the areas that had errors, which was very helpful for us in resolving the issues.

    There are many features that are truly helpful, including Union, Joins, and various Snaps, so everything is very useful based on our project, and it really helps us speed up our work.

    Regarding SnapLogic's governance and security capabilities, I think they are very good compared to others; there is no doubt about security, as it is a very good tool for security.

    As for SnapLogic's AI capabilities regarding accuracy and reliability of output, I can say we currently have eighty percent reliability and accuracy, which I think is good, and it would be better if we could improve more, but currently it is eighty percent from my perspective.

    What needs improvement?

    Although SnapLogic is already a very good tool, it can be improved by making the GUI part, particularly the user interface, more usable, which would be more helpful for users.

    Apart from that, I think it is fine and good, and once we use it more, I will provide feedback on other things as well.

    As of now, I do not have any other improvements for SnapLogic that come to mind, but once I think of something, I will surely update.

    For how long have I used the solution?

    I have been using SnapLogic for the past one year.

    What do I think about the stability of the solution?

    SnapLogic is very stable.

    What do I think about the scalability of the solution?

    SnapLogic's scalability is excellent; we can easily scale, and it is straightforward to do so.

    How are customer service and support?

    The customer support is very good; we can easily access the support team on demand whenever we need help, and they are helpful.

    I would rate the customer support ten out of ten.

    Which solution did I use previously and why did I switch?

    I previously used a different solution, specifically the SSIS tool, which is a Microsoft tool, and now we have switched to SnapLogic.

    What was our ROI?

    I have seen a return on investment; although I do not have specific numbers, we saved time by completing tasks in months instead of years, which indicates that if we saved time, we obviously saved money too.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing is such that as a developer, we are not aware of much of these things; we are more focused on the technical side.

    Which other solutions did I evaluate?

    Before choosing SnapLogic, we evaluated other options such as Azure Data Factory and AWS Glue, and ultimately we found SnapLogic very helpful, so we opted for that one.

    What other advice do I have?

    My advice to others looking into using SnapLogic is to switch to this tool, explore various features, and it will be helpful; it is a good tool for them to choose. I would rate SnapLogic an eight out of ten.

    Which deployment model are you using for this solution?

    Private Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
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