What is this?
Airbyte is an open-source data movement platform for ELT pipelines and AI agents: it moves data from APIs, databases, and files into warehouses, data lakes, and AI applications, backed by a catalog of 600+ connectors. You can run it self-hosted or as Airbyte Cloud.
Airbyte is an open-source data movement platform for ELT pipelines and AI agents: it moves data from APIs, databases, and files into warehouses, data lakes, and AI applications, backed by a catalog of 600+ connectors. You can run it self-hosted or as Airbyte Cloud.Is this something I deploy myself, or a hosted service?Both. This repo is Airbyte Open Source, which you deploy and run yourself; Airbyte Cloud is the hosted alternative, and there is also a managed Airbyte Agents product plus an open-source Agent SDK.
Both. This repo is Airbyte Open Source, which you deploy and run yourself; Airbyte Cloud is the hosted alternative, and there is also a managed Airbyte Agents product plus an open-source Agent SDK.How do I get started moving data?Deploy Airbyte Open Source or set up Airbyte Cloud, then centralize your data with connectors from the catalog. A demo app lets you try it out, and syncs can be orchestrated from Airflow, Dagster, Kestra, or the Airbyte API.
Deploy Airbyte Open Source or set up Airbyte Cloud, then centralize your data with connectors from the catalog. A demo app lets you try it out, and syncs can be orchestrated from Airflow, Dagster, Kestra, or the Airbyte API.Do I need to write code to add a source that is not in the catalog?Usually not: a no-code Connector Builder and a low-code CDK let you create custom connectors in minutes. For using connectors inside agent code, you install the separate Agent SDK with uv pip install airbyte-agent-sdk.
Usually not: a no-code Connector Builder and a low-code CDK let you create custom connectors in minutes. For using connectors inside agent code, you install the separate Agent SDK with uv pip install airbyte-agent-sdk.Does the open-source version include everything the company offers?No: Airbyte Enterprise adds extra security features, among others, on top of the open-source platform. Where the project is heading is visible in a public roadmap on GitHub.
No: Airbyte Enterprise adds extra security features, among others, on top of the open-source platform. Where the project is heading is visible in a public roadmap on GitHub.How many connectors are available out of the box?More than 600 connectors for APIs, databases, data warehouses, data lakes, and AI applications; the project's registry lists everything available in Airbyte and Airbyte Cloud.
More than 600 connectors for APIs, databases, data warehouses, data lakes, and AI applications; the project's registry lists everything available in Airbyte and Airbyte Cloud.What does Airbyte offer specifically for AI agents?Airbyte Agents is a managed data and context layer that gives agents, LLMs, and MCP clients real-time access to business data. Alternatively, the open-source Agent SDK turns connectors into type-safe LLM tools that work with pydantic-ai, LangChain, OpenAI Agents, and FastMCP, with built-in retry, exception translation, and output-size guardrails.
Airbyte Agents is a managed data and context layer that gives agents, LLMs, and MCP clients real-time access to business data. Alternatively, the open-source Agent SDK turns connectors into type-safe LLM tools that work with pydantic-ai, LangChain, OpenAI Agents, and FastMCP, with built-in retry, exception translation, and output-size guardrails.Why is it open source?The team's stated position is that only an open-source approach to data movement can cover the long tail of data sources while letting data engineers customize existing connectors.
The team's stated position is that only an open-source approach to data movement can cover the long tail of data sources while letting data engineers customize existing connectors.Which topics is it in?redshift, data-integration, change-data-capture, data-collection, snowflake, bigquery, data-pipeline, mssql, etl, pipeline, data, data-engineering
redshift, data-integration, change-data-capture, data-collection, snowflake, bigquery, data-pipeline, mssql, etl, pipeline, data, data-engineering