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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.
    4.4

    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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    Deployed on AWS
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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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    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
    Positive reviews
    Mixed reviews
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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
    443 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    63%
    31%
    4%
    1%
    1%
    18 AWS reviews
    |
    425 external reviews
    External reviews are from G2  and PeerSpot .
    Kwei Aryeetey

    Visual workflows have accelerated complex ETL projects and have improved data integration speed

    Reviewed on Oct 14, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for SnapLogic is mostly for doing ETL processes, moving data from heterogeneous data sources into our organizational data warehouses and data stores.

    A specific example of how I use SnapLogic for ETL in my organization is that we have various clients in the health industry that submit data to us for insurance and diagnostic reasons. We receive the data in various forms such as CSV files or text files, and I have SnapLogic pipelines that regularly check for these files to drop at certain particular times. I load them from their text files into our database warehouse, doing necessary transformations based on whatever specifications we have from the clients.

    SnapLogic gives us a lot more ability to perform many transformations. In my transformations, I can write scripts in Python and other scripting languages. The snaps that I use are very useful. Special snaps can do certain things for you, which reduces the amount of coding you have to do, especially when you get to the transformation areas. The volumes, convenience, and software interface make it easier, particularly visually when mixing objects, tasks, and snaplets while working with code behind it.

    How has it helped my organization?

    SnapLogic has positively impacted my organization because it makes it easier to concentrate a lot of our ETL processes. Because of the diversity of data sources, we can process a lot of data from various clients that have different sources sending data to us. The fact that SnapLogic is hosted on AWS makes it very current and convenient to use.

    I can share specific outcomes or metrics that show how SnapLogic has benefited my organization. Previously, I used other applications, and using SnapLogic allows me to connect to data sources, perform all the snaps needed to manipulate the data, write conversions and transformations, and connect and direct to data output. Some projects from the past, many years ago, required me to go through evaluating tables and sources. With SnapLogic, I have been able to complete projects in approximately four times less time than I used to.

    What is most valuable?

    The best features SnapLogic offers are its interface and the snaps available for various functions.

    The interface makes it stand out for me. I can look at the selection menu where I can pick specialized snaps and join them together. The Intellisense available and the snap environment that allows automatically picking snaplets to put them together are impressive. Recently, with ChatGPT making good suggestions based on how I want to build my ETL process, those features are useful. I can visually see the progression of my solution as I go along, which is helpful.

    The features are good enough, and the representation and the way the various things one would want to do are designed is excellent. I have the designer interface, then the monitor interface, and then the administrative interface where I deal with users and roles. The design is very well separated out, so I know which area I am in and what I am doing. What is put on the canvas in front of me as I work on those objects, whether building a pipeline or working on user configurations, makes the interface environment pretty easy and intuitive.

    What needs improvement?

    One of the things I notice with the new interfaces is that a lot of functionality is condensed into the available windows where we work. I would like to spread them out a little bit so developers do not get overwhelmed during development. When too many things are in the window, for example when I am monitoring processes and looking at the various pipelines, there is small real estate and a lot of information that I have to look at in order to figure out where my sources are, where my targets are, and what pipelines are running. There is so much information condensed that sometimes I do not have enough room to actually look at the IDs of some of the objects I am using because the space available in the design does not allow the whole label or significant portion of the label to be displayed. Not condensing too much information into the application editor where developers work would be a good thing. Splitting them up into smaller interfaces so one could easily move from one to the other and not be confused or overwhelmed with the development information available would be beneficial.

    At the moment, those are the things that I have noticed that probably, when improved, could change the experience of development.

    For how long have I used the solution?

    I have been using SnapLogic for the past ten years.

    What other advice do I have?

    I would rate SnapLogic overall as a nine out of ten. I give it a nine because I am able to do all my ETL processes conveniently and better than I used to do in the past ten to fifteen years ago. The technology has improved a lot and is basically good.

    Regarding SnapLogic's AI capabilities, I think governance and security are handled well as my organization takes care of it. One of the key concerns is if data leaves my environment, my garden environment with proprietary data, and gets into the outer world where AI can use it for whatever reasons, since not everybody out there has good intentions. I am a bit concerned about data going beyond the walls of my organization and being used for whatever reason. I leave the governance to my organization who takes care of it and makes sure that people stick within the limits of what they are supposed to do and do not mistakenly let data seep out of our organization where other agents or AI agents can take care of it and run off with it.

    Regarding SnapLogic's AI capabilities, I think the accuracy and reliability of output are fair and close to almost accurate. I believe it all depends on how good or how well I prime it and the questions I put to it. For the simple tasks I have been doing and solutions I am looking for, I am usually able to prime it properly and I do get very accurate answers back with minimal changes for me to achieve my objectives. I would say it is close to pretty accurate.

    I would advise others looking into using SnapLogic to give it a try. My overall rating for SnapLogic is nine out of ten.

    Which deployment model are you using for this solution?

    Hybrid Cloud

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

    Amazon Web Services (AWS)
    Navyashree T.

    Fast, Scalable Integrations with SnapLogic’s Low-Code Drag-and-Drop Designer

    Reviewed on Oct 06, 2026
    Review provided by G2
    What do you like best about the product?
    I've used SnapLogic for the past two years, and the low-code, drag-and-drop pipeline designer is what I like best. Pre-built Snaps for apps like Salesforce, databases, and APIs let me build and change integrations much faster than hand-coding, and the same visual approach carries over to newer AI and agent workflows. The platform handles both application integration and data integration in one place, and it scales well as we add more systems.
    What do you dislike about the product?
    Debugging data flow in production can be difficult. Previewing the data moving through a pipeline isn't straightforward, so we have to rely on logging tools to see what's happening at each step. A more built-in way to inspect data in runtime would make troubleshooting faster.
    What problems is the product solving and how is that benefiting you?
    SnapLogic solves the problem of connecting many different applications, databases, and APIs without writing and maintaining custom code for each one. Its low-code pipelines let us build and update integrations quickly, so data moves between systems reliably and teams aren't waiting on lengthy development cycles. The same platform now supports AI and agent-based workflows, which means we can extend existing integrations instead of starting from scratch. Over two years, it has reduced manual data handling and made our integration work faster and easier to manage.
    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.

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