SnapLogic
Integration platform that connects apps, data, and APIs with AI-powered automation and pre-built connectors.
| What is it | Integration platform that connects apps, data, and APIs with AI-powered automation and pre-built connectors. |
|---|---|
| Pricing | Contact for Pricing |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Best for | connecting SaaS applications and databases for data synchronization, automating business workflows across cloud and on-premise systems |
| Domain registered | 2005 |
Data updated Aug. 1, 2026
What does SnapLogic do?
SnapLogic is an all-in-one integration platform (iPaaS) that connects applications, data sources, and APIs across cloud and on-premise environments. It helps organizations automate workflows, synchronize data, and build integration pipelines without writing custom code. The platform provides hundreds of pre-built connectors called Snaps for popular SaaS tools like Salesforce, Workday, NetSuite, and databases like Snowflake and SQL Server. SnapLogic also includes SnapGPT, an AI assistant that can generate integration pipelines from natural language descriptions, and agentic AI capabilities for autonomous workflow orchestration.
The platform works through a visual pipeline builder where users drag and drop Snaps to create data flows. These pipelines can handle both real-time and batch processing. SnapLogic's AI features include SnapGPT, which lets you describe an integration in plain English and get a working pipeline, and an agentic AI layer that can make decisions and trigger actions based on data conditions. The platform also provides monitoring dashboards, error handling, and security controls. SnapLogic supports over 400 connectors and can run in the cloud or on-premise.
SnapLogic is built for IT teams, data engineers, and enterprise architects who need to connect complex systems without writing custom integration code. Common use cases include syncing customer data between Salesforce and ERP systems, automating HR workflows between Workday and Active Directory, and building data pipelines for analytics in Snowflake or Databricks. The AI features help reduce the time spent on manual integration work, but the platform still requires some technical understanding of data structures and APIs.
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