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Open-source data integration platform for building ELT pipelines that move data from APIs, databases, and files into warehouses, lakes, and lakehouses. Offers both batch and change-data-capture replication for analytics workflows, plus direct connectors and a context store to power AI agent workflows.

Trusted by enterprises like Peloton, Kuda, and Symend for scalable data movement. Differentiates from alternatives like Fivetran and Stitch by supporting programmatic configuration via API and Terraform, letting data engineers manage connections as code and check changes into version control. Over 25,000 users and 600-plus pre-built connectors span common operational systems, warehouses, and destinations.

Key features:

  • 600+ source and destination connectors
  • Batch and CDC replication for analytics
  • Self-hosted or cloud deployment
  • API, Terraform provider, and code-based connection management
  • Context store and direct connectors for AI agent integrations

Use cases: consolidating operational data into warehouses for analytics, syncing CRM and marketing platform data for activation, powering AI agents with real-time access to business context. Data teams use it for distributed pipeline execution that isolates failures per client, and developers integrate via API or infrastructure-as-code for reproducible deployments.

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