Airbyte

Airbyte moves data from where it is produced to where it gets analyzed. The catalog covers more than 600 connectors for APIs, databases, warehouses, lakes and AI applications, and that breadth is the argument: the long tail of sources is exactly what a closed integration tool never bothers to support.

When a connector does not exist yet, you build it. A no-code Connector Builder handles most sources and a low-code CDK covers the rest, and because connectors are open source you can fork and customize an existing one instead of filing a request and waiting.

The platform now splits along two jobs.

• ELT and ETL pipelines: the open source platform in this repository, or Airbyte Cloud, centralizes data into warehouses, lakes and databases.
• AI agent access: Airbyte Agents and the open source Agent SDK give LLMs and MCP clients real time reach into CRMs, support tools, SaaS APIs and databases.
• Typed connectors as tools: the SDK works with pydantic-ai, LangChain, OpenAI Agents and FastMCP, with retry, exception translation and output size guardrails included.
• Orchestration: syncs are triggered from Airflow, Dagster, Kestra or the Airbyte API rather than a scheduler of its own.
• Public registry: a generated registry report lists every connector available, and a hosted demo shows the platform before you deploy anything.

Deployment is either self-hosted from this repository or the managed cloud, with an enterprise tier adding further security features. Licensing is split between MIT and the Elastic License version 2, so check which one covers the components you intend to run.