# Integrations
> Integrations that work with MotherDuck from the modern data stack
MotherDuck is even better when connected to the rest of your stack. Each integration includes links to either our own
detailed tutorials, the integrator's documentation, or insightful articles and blogs that can help you get started.

See the integration pages listed in this section for supported tools.

:::note
See [DuckDB documentation](https://duckdb.org/docs/api/overview.html) for the full list of supported client APIs and drivers.
:::

## Diagram: Modern duck stack

Diagram summary: the MotherDuck ecosystem. Sources and ingestion tools load data into MotherDuck; BI tools, notebooks, and applications query it back out; transformation, orchestration, and data quality tools work on it. Each lane below is a sample, not the full list.

Loading data in:
- **Databases**: PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, MongoDB (/integrations/databases/)
- **Files and object storage**: Amazon S3, Cloudflare R2, Azure Blob, Parquet, Apache Iceberg, DuckLake (/integrations/cloud-storage/)
- **Ingestion**: dltHub, Fivetran, Airbyte, Estuary, Sling, Apache Kafka, Salesforce, Stripe (/integrations/ingestion/)

Reading data out:
- **Business intelligence**: Power BI, Tableau, Metabase, Hex, Omni, Superset, Rill Data, Evidence (/integrations/bi-tools/)
- **Data science and AI**: Python, Jupyter, Marimo, Google Colab, LangChain, LlamaIndex (/integrations/data-science-ai/)
- **Apps and developer tools**: Node.js, Go Driver, JDBC, Rust, Streamlit, Retool, Cloudflare Workers, DBeaver (/integrations/language-apis-and-drivers/)

Working on the warehouse:
- **Transformation**: dbt core, dbt cloud, SQLMesh, Paradime (/integrations/transformation/)
- **Orchestration**: Airflow, Dagster, Prefect, Kestra, Bacalhau, Astronomer (/integrations/orchestration/)
- **Data quality**: Great Expectations, Monte Carlo, Soda, Secoda (/integrations/data-quality/)

What MotherDuck brings in the middle:
- **Ducklings**: Compute, one per account (/concepts/hypertenancy/)
- **Storage**: Databases, snapshots, catalog (/concepts/storage-lifecycle/)
- **Dual Execution**: Query cloud and local data together (/concepts/architecture-and-capabilities/#dual-execution)
- **Flights**: Python on a schedule (/concepts/flights/)
- **Dives**: SQL and React data apps (/key-tasks/dives/)
- **Guides**: Context your agents read (/key-tasks/guides/)
- **MCP server**: Agent access to your data (/sql-reference/mcp/)
- **Shares**: Read access without copying (/key-tasks/sharing-data/)

The full list is at /integrations/.


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