Sold by: SnapLogic
Deployed on AWS
Vendor Insights
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
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
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.
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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 |
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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Vendor support
For support and information please visit https://www.snaplogic.com/resources/data-sheets/snaplogic-support-overview partner-team@snaplogic.com
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By SnapLogic
By Matillion
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In Healthcare & Life Sciences
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In Data Warehouses, ELT/ETL
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Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
AI-Assisted Integration Development
Natural language processing capability through SnapGPT AI copilot that enables users to describe integrations in plain language for automatic pipeline construction
Multi-Source Data Connectivity
Over 1,000 intelligent connectors (Snaps) supporting integration with cloud and on-premises data sources including Salesforce, SAP, Workday, Microsoft SQL Server, PostgreSQL, and AWS services
Drag-and-Drop Pipeline Management
Visual integration pipeline creation and management interface with AI-powered recommendation logic for Amazon Redshift and other data warehouses
Autonomous Agent Orchestration
AgentCreator functionality enabling design, deployment, and management of AI agents that operate autonomously across enterprise systems with native MCP support
Multi-Latency Data Movement
Support for batch, real-time, and trigger-based data movement across AWS services including Redshift, DynamoDB, SQS, and RDS at varying latencies
Codeless Visual Development Interface
Drag and drop visual UI for building data integrations without requiring coding, with pre-built templates and integration wizards to accelerate development
Parallel Data Integration Architecture
Highly scalable parallel data integration architecture with ETL and ELT pushdown optimization patterns 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 with Integration Base, Data Integration service, and tiered connectors (Tier B, C, D) supporting regulated government cloud deployments
Data Integration and Synchronization
Capabilities for developing, running, and scheduling data integration flows, synchronization tasks, and data warehousing and data lake initiatives
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 drift in data pipelines
Git-Compatible Pipeline Output
Production-ready pipeline output with Git compatibility for version control and CI/CD integration
Integrated Data Lineage and Visibility
Built-in lineage tracking and operational visibility for data pipeline monitoring and governance
Pushdown SQL Architecture
SQL computation pushdown architecture for optimized query execution and performance
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Customer reviews
Shobhit M.
Snaplogic’s Versatile Snap Packs and Helpful SnapGPT
Reviewed on Aug 12, 2026
Review provided by G2
What do you like best about the product?
Snaplogic supports a plethora of Snap Packs for connecting to a wide range of services—Oracle, Postgres, Reltio, S3, and more—all in one place. On top of that, SnapGPT is helpful for troubleshooting pesky errors and for working out an implementation plan.
What do you dislike about the product?
Sometimes the platform crashes, which can cause unsaved work to be lost permanently. Also, the latest deployments occasionally don’t show up unless I log out and back in, which makes checking deployments a bit tedious.
What problems is the product solving and how is that benefiting you?
Previously, we relied on multiple services to analyze data coming from different systems. Now, with Snaplogic, all of our data can be cleaned, transformed, and analyzed in one place, which makes the overall process much more streamlined leading to saved time and money.
The new UI/UX has improved performance.
Also, Snaplogic support, on the rare occasions it is required, is quick and easy.
The new UI/UX has improved performance.
Also, Snaplogic support, on the rare occasions it is required, is quick and easy.
Ratnesh R.
Amazing UI and Great Interactivity for Efficient ETL
Reviewed on Aug 11, 2026
Review provided by G2
What do you like best about the product?
It’s a good ETL tool with efficient data processing. The UI is amazing, and the overall interactivity is great.
What do you dislike about the product?
The data processing capability could be improved. When working with a large volume of data, I sometimes experience slowdowns.
What problems is the product solving and how is that benefiting you?
ETL, data processing, data management, and business analysis.
Thodupunuri S.
Reliable Platform for Fast Multi-Source Data Ingestion
Reviewed on Aug 05, 2026
Review provided by G2
What do you like best about the product?
The feature I like most about SnapLogic Intelligent Integration Platform is its low-code, visual pipeline development. It allows developers to build complex data integration workflows using drag-and-drop Snaps instead of writing large amounts of code. This significantly reduces development time while making pipelines easier to understand, maintain, and troubleshoot.
What do you dislike about the product?
One challenge I've noticed with SnapLogic is troubleshooting very large integration pipelines. When a pipeline contains many child pipelines, routers, and transformations, identifying the exact Snap causing a failure can sometimes take time. I usually use the Dashboard, execution statistics, error views, and validate each pipeline segment individually. Adding proper logging, meaningful pipeline parameters, and modularizing large pipelines makes troubleshooting much easier.
What problems is the product solving and how is that benefiting you?
SnapLogic simplifies data ingestion by replacing custom integration code with pre-built connectors and visual pipelines. Instead of manually writing scripts for every new source, I can configure a connector and build the pipeline much faster. This reduces development time, maintenance effort, and makes onboarding new data sources much easier.
Ramakrishna k.
Fast, Scalable Integrations with SnapLogic’s Intuitive Drag-and-Drop Designer
Reviewed on Aug 05, 2026
Review provided by G2
What do you like best about the product?
What I like most about snaplogic Intelligent Integration Platform is its easy-to use interface and drag and drop pipeline design, which makes building integrations much faster. In my project, we use it to connect with different data sources, configure accounts and snaplex, and build scalable pipelines. The platform performs well for handling large data loads, and we can easily monitor pipeline executions and quickly identify failed jobs. The wide range of prebuilt Snaps simplifies integrations and reduces our development time, providing good value overall. The onboarding experience is straightforward, and the available documentation and support were helpful to me. I also like the AI-assisted features that make pipeline development and configuration more efficient.
What do you dislike about the product?
Overall, my personal experience with snaplogic has been positive, but there are a few areas that could be improved. Debugging complex pipelines can sometimes take longer because the error messages and logs are not always detailed enough. The Designer can also feel cluttered when working with large pipelines, and performance may slow down with very high data volumes. I think version management could be improved when multiple developers collaborate on the same project. Also, some prebuilt Snaps have limitations for advanced use cases, requiring custom scripting or workarounds. These improvements would make development and maintenance even smoother.
What problems is the product solving and how is that benefiting you?
snaplogic helps us integrate data from multiple source systems through a single platform, reducing the need for custom integration code. We use it to build scalable pipelines using prebuilt Snaps, configure accounts and snaplex, and automate data movement between different systems. It also makes it easy to monitor pipeline executions and quickly identify failed jobs, helping us resolve issues faster and maintain reliable data workflows. Overall, it has improved our development speed, simplified integration management, and reduced manual effort in our daily operations.
Pavan Simhadri D.
Super fast integrations—saves tons of coding headache!
Reviewed on Jul 31, 2026
Review provided by G2
What do you like best about the product?
The drag-and-drop integration style with Snaps makes building pipelines really fast, so I don’t have to write a lot of code from scratch. The AI assistant also suggests the next logical steps in the flow, which saves me a ton of time. And once you get the hang of it, connecting cloud apps to on-premise systems is pretty smooth.
What do you dislike about the product?
The UI can get a bit laggy when dealing with massive, complex pipelines with hundreds of nodes. Error handling and debugging could also be clearer when a deep data mapping issue happens midway through a run.
What problems is the product solving and how is that benefiting you?
It solves the huge headache of manually writing custom code to connect old on-premise systems with new cloud apps. Building data pipelines now takes hours instead of weeks because of the pre-built connectors and low-code setup. It frees up our engineering team from constant maintenance so we can focus on major dev projects instead of fixing broken APIs. Overall, it keeps our data moving smoothly without setup crashes, making it a huge time-saver for the whole team.