# MotherDuck Documentation - Integrations > Scoped MotherDuck documentation index for Integrations. Use this before the root index when the user's question is clearly about this area. - [Full scoped context](https://motherduck.com/docs/integrations/llms-full.txt): Complete Markdown content for Integrations. - [Root documentation index](https://motherduck.com/docs/llms.txt): All MotherDuck documentation sections. ## Pages - [Amazon S3](https://motherduck.com/docs/integrations/cloud-storage/amazon-s3): Amazon S3 is a Data Sources/Sinks service for storing and retrieving data. - Sections: Configure S3 credentials, Troubleshooting, Browse buckets and files - [Apache Iceberg](https://motherduck.com/docs/integrations/file-formats/apache-iceberg): MotherDuck supports the Apache Iceberg format through the DuckDB Iceberg extension. The extension is loaded automatically when Iceberg functions or catalogs are used in your current MotherDuck session. - Sections: Iceberg REST catalogs, Scanning individual Iceberg tables - [Azure Blob Storage](https://motherduck.com/docs/integrations/cloud-storage/azure-blob-storage): Azure Blob is a Data Sources/Sinks service for storing and retrieving data. - Sections: Configure Azure Blob Storage credentials, Browse files in Azure Blob Storage - [BigQuery](https://motherduck.com/docs/integrations/databases/bigquery): Load data from Google BigQuery into MotherDuck using the duckdb-bigquery community extension. - Sections: Prerequisites, Loading data from BigQuery into MotherDuck - [Cloudflare R2](https://motherduck.com/docs/integrations/cloud-storage/cloudflare-r2): Cloudflare R2 is a Data Sources/Sinks service for storing and retrieving data. - Sections: Configure Cloudflare R2 credentials - [Cloudflare Workers](https://motherduck.com/docs/integrations/serverless-compute/cloudflare-workers): Cloudflare Workers is an edge compute platform for running serverless functions globally. Workers can connect to MotherDuck through the Postgres endpoint using the pg npm package. - Sections: Connection, Connection pooling with Hyperdrive, Tutorial - [dbt with DuckDB and MotherDuck](https://motherduck.com/docs/integrations/transformation/dbt): Data Build Tool (dbt) is an open-source command-line tool that enables data analysts and engineers to transform data in their warehouses by defining SQL in model files. It bring the composability of programming languages to SQL while automating the mechanics of updating tables. - Sections: Installation, Configuration for Local DuckDB, Configuration for MotherDuck, Attaching Additional Databases, Extra resources - [Delta Lake](https://motherduck.com/docs/integrations/file-formats/delta-lake): MotherDuck supports querying data in the Delta Lake format. The Delta DuckDB extension is loaded automatically when any of the supported Delta Lake functions are called. - Sections: Delta function, Examples - [DuckLake](https://motherduck.com/docs/integrations/file-formats/ducklake): DuckLake is an integrated data lake and catalog format for large scale data analytics. - Sections: Creating a fully managed DuckLake database, Data inlining, DuckLake configuration, Bring your own bucket (BYOB) {#bring-your-own-bucket}, What's new in DuckLake 1.0, Additional DuckLake features... - [Go driver](https://motherduck.com/docs/integrations/language-apis-and-drivers/go-driver): Official Go driver for MotherDuck, enabling seamless integration with Go applications. The go-duckdb driver supports MotherDuck out of the box! - Sections: Go gotchas - [Google Cloud Storage](https://motherduck.com/docs/integrations/cloud-storage/google-cloud-storage): With MotherDuck, you can access files in a private Google Cloud Storage (GCS) bucket. This leverages the GCS S3 compatible connection. - Sections: Google Cloud Storage connection process, Configure Google Cloud Storage credentials, Additional resources - [Hex](https://motherduck.com/docs/integrations/bi-tools/hex): Connect Hex notebooks to MotherDuck using SQL data connections or Python cells for interactive analytics. - Sections: Using SQL cells with a data connection, Using Python cells - [JDBC driver](https://motherduck.com/docs/integrations/language-apis-and-drivers/jdbc-driver): Java Database Connectivity (JDBC) driver for connecting Java applications to MotherDuck. The official DuckDB JDBC driver supports MotherDuck out of the box! - [PostgreSQL](https://motherduck.com/docs/integrations/databases/postgres): Advanced open-source relational database with powerful features and extensibility. - Sections: Query MotherDuck from PostgreSQL-compatible clients, Load PostgreSQL data into MotherDuck, Run DuckDB from inside PostgreSQL - [Power BI Desktop with MotherDuck](https://motherduck.com/docs/integrations/bi-tools/powerbi/powerbi-desktop): Connect Power BI Desktop to MotherDuck using the Postgres endpoint for dashboards and reports. - Sections: Before you start, Connect to MotherDuck, Connection parameters, Additional information - [R](https://motherduck.com/docs/integrations/language-apis-and-drivers/r): R is a language for statistical analysis. - Sections: Considerations and limitations - [Retool](https://motherduck.com/docs/integrations/dev-tools/retool): Low-code platform for building internal tools and custom business applications with drag-and-drop UI components. - Sections: Retool Cloud (native connector), Self-hosted (JDBC) - [Tableau Cloud with MotherDuck](https://motherduck.com/docs/integrations/bi-tools/tableau/tableau-cloud): Connect Tableau Cloud to MotherDuck using the Postgres endpoint for dashboards and reports. - Sections: Before you start, Connect to MotherDuck, Connection parameters, Additional information - [Vercel](https://motherduck.com/docs/integrations/web-development/vercel): Vercel is a web development platform for building and deploying web applications. - Sections: Native integration, Connect using the Postgres endpoint, Connect using the Wasm SDK - [Obsidian](https://motherduck.com/docs/integrations/dev-tools/obsidian): Use the DuckDB & MotherDuck Obsidian plugin to query external data from your notes and freeze the results as markdown tables. - Sections: Install, Running queries, Freezing results, Scheduled refresh, Commands, Settings... - [PlanetScale](https://motherduck.com/docs/integrations/databases/planetscale): PlanetScale offers hosted PostgreSQL and MySQL Vitess Databases. MotherDuck supports PlanetScale Postgres via the pg_duckdb extension, as well as the Postgres Connector. In our internal benchmarking, pg_duckdb offers 100x or greater query acceleration for analytical queries when compared to vanilla Postgres. - Sections: Prerequisites, Connecting pg_duckdb to MotherDuck, Connecting with the Postgres extension - [Power BI Service with MotherDuck](https://motherduck.com/docs/integrations/bi-tools/powerbi/powerbi-service): Publish Power BI reports to the cloud using the On-Premises Data Gateway and MotherDuck's Postgres endpoint. - Sections: Before you start, Install the gateway, Add a MotherDuck data source, Publish and connect a report, Set up scheduled refresh, DirectQuery through the gateway... - [Tableau Desktop and Server with MotherDuck](https://motherduck.com/docs/integrations/bi-tools/tableau/tableau-desktop): Connect Tableau Desktop or Server to MotherDuck using the DuckDB JDBC driver and Tableau connector. - Sections: Tableau Desktop setup for DuckDB and MotherDuck, Connecting, Additional information - [Evidence](https://motherduck.com/docs/integrations/bi-tools/evidence): Evidence is an open source, code-based alternative to drag-and-drop BI tools. Build polished data products with just SQL and markdown. - Sections: Getting started, Authenticate to MotherDuck, Displaying some data through SQL and markdown - [Power BI custom connector (legacy)](https://motherduck.com/docs/integrations/bi-tools/powerbi/powerbi-custom-connector): Connect Power BI to MotherDuck using the DuckDB ODBC driver and Power Query custom connector. - Sections: Installing, How to use with Power BI, Use custom data connectors with an on-premises data gateway, Additional information, Troubleshooting - [SQLAlchemy with DuckDB and MotherDuck](https://motherduck.com/docs/integrations/language-apis-and-drivers/python/sqlalchemy): Connect to MotherDuck from SQLAlchemy using either the PostgreSQL connector through MotherDuck's Postgres endpoint or the DuckDB SQLAlchemy driver. - Sections: Why use the Postgres endpoint, Before you start, Install SQLAlchemy and psycopg, Connect with SQLAlchemy, Query MotherDuck, Loading data... - [Tableau Bridge (legacy)](https://motherduck.com/docs/integrations/bi-tools/tableau/tableau-bridge): Connect Tableau Cloud to MotherDuck using Tableau Bridge and the DuckDB JDBC connector. - Sections: How to use Tableau Cloud with MotherDuck through Tableau Bridge, Additional information - [SQL Server](https://motherduck.com/docs/integrations/databases/sql-server): Use the SQL Server replication guide when you need to read tables or queries from SQL Server and write the results to MotherDuck. The guide covers Python, pyodbc, SQL Server authentication, and loading dataframe results into MotherDuck. - Sections: How it works with MotherDuck, Related content - [Superset & Preset](https://motherduck.com/docs/integrations/bi-tools/superset-preset): Apache Superset is a powerful, open-source data exploration and visualization platform designed to be intuitive and interactive. It allows data professionals to quickly integrate and analyze data from various sources, creating insightful dashboards and charts for better decision making. - Sections: Self-hosted Superset, Preset, Related content - [DataGrip](https://motherduck.com/docs/integrations/sql-ides/datagrip): JetBrains DataGrip is a cross-platform IDE for working with SQL and noSQL databases. It includes a DuckDB integration, which makes connecting to MotherDuck easy. - Sections: Connecting to MotherDuck in DataGrip, Update the DuckDB driver version - [DBeaver](https://motherduck.com/docs/integrations/sql-ides/dbeaver): DBeaver Community is a free cross-platform database integrated development environment (IDE). It includes a DuckDB integration, so it is a great choice for querying MotherDuck. - Sections: DBeaver DuckDB setup, Connecting DBeaver to MotherDuck - [Hetzner Object Storage](https://motherduck.com/docs/integrations/cloud-storage/hetzner-object-storage): Hetzner Object Storage is a S3-compatible object storage service. - Sections: Configure Hetzner Object Storage credentials - [Metabase](https://motherduck.com/docs/integrations/bi-tools/metabase): Metabase is an open source analytics/BI platform that provides intuitive data visualization and exploration capabilities. This guide details how to connect Metabase to both local DuckDB databases and MotherDuck. - Sections: Prerequisites, Metabase Cloud, Self-hosted Metabase, Configuration best practices, Troubleshooting - [Tigris](https://motherduck.com/docs/integrations/cloud-storage/tigris): With MotherDuck, you can access files in a private Tigris bucket. Tigris is a globally distributed S3-compatible object storage service that provides low latency anywhere in the world. - Sections: Tigris requirements, Configure Tigris credentials - [Google Sheets](https://motherduck.com/docs/integrations/file-formats/google-sheets): Query Google Sheets from MotherDuck with CSV export URLs or the DuckDB Google Sheets community extension. - Sections: Query a sheet with read_csv(), Create a view or table, Authenticate to a private sheet, Use the Google Sheets extension, Related content - [Looker with MotherDuck](https://motherduck.com/docs/integrations/bi-tools/looker): Connect Looker (Google Cloud core) to MotherDuck using the Postgres endpoint, including the required compatibility-mode parameter and recommended pooling and token settings. - Sections: Before you start, Connect to MotherDuck, Required: compatibility mode parameter, Enable connection pooling, Choose the right token, Connection test behavior... - [Connect MotherDuck to Excel](https://motherduck.com/docs/integrations/bi-tools/excel): Use Excel's 'Get Data' flow with the DuckDB ODBC driver to load MotherDuck data into Excel. This setup works well for recurring reporting, analysis, ad hoc SQL exploration, finance models, and operational dashboards without relying on exported CSVs. - Sections: Before you start, Installation steps, Excel ODBC on macOS, Excel workflows on Linux, Tips, Troubleshooting - [Marimo](https://motherduck.com/docs/integrations/data-science-ai/marimo): marimo is a reactive notebook for Python and SQL that models notebooks as dataflow graphs. When you run a cell or interact with a UI element, marimo automatically runs affected cells (or marks them as stale), keeping code and outputs consistent and preventing bugs before they happen. Every marimo notebook is stored as pure Python, executable as a script, and deployable as an app. - Sections: Getting started, Using MotherDuck, Example notebook - [dbt cloud with MotherDuck via pg_duckdb](https://motherduck.com/docs/integrations/transformation/dbt-cloud): dbt cloud is a managed service for dbt core. MotherDuck is used with dbt cloud by deploying a Postgres proxy with pg_duckdb installed. - Sections: Getting started, Configuring pg_duckdb, dbt cloud configuration, Usage notes - [Airbyte](https://motherduck.com/docs/integrations/ingestion/airbyte): Airbyte is a data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Airflow](https://motherduck.com/docs/integrations/orchestration/airflow): Open-source data orchestration and scheduling platform for building ETL pipelines. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [Artie](https://motherduck.com/docs/integrations/ingestion/artie): Artie is a fully managed CDC streaming platform that allows you to replicate data from your source database to your destination in real-time. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Ascend.io](https://motherduck.com/docs/integrations/ingestion/ascend-io): Ascend.io is a data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Astronomer](https://motherduck.com/docs/integrations/orchestration/astronomer): Astronomer is a platform for authoring, scheduling, and monitoring workflows. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [AWS Glue](https://motherduck.com/docs/integrations/ingestion/aws-glue): AWS Glue is a serverless data integration service for preparing and moving data with Spark jobs, crawlers, and the AWS Glue Data Catalog. AWS Glue jobs can connect to MotherDuck through the MotherDuck Postgres endpoint using Glue's PostgreSQL JDBC support. - Sections: How it works with MotherDuck, Related content - [Bacalhau](https://motherduck.com/docs/integrations/orchestration/bacalhau): Bacalhau is a platform for running and managing data pipelines. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [Business Intelligence Tools](https://motherduck.com/docs/integrations/bi-tools): Use MotherDuck as a data source in tools for interactive data analysis and presentation - [Bytewax](https://motherduck.com/docs/integrations/ingestion/bytewax): Bytewax is a stream processing platform for building and managing data pipelines. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Cloud Storage](https://motherduck.com/docs/integrations/cloud-storage): Use MotherDuck with your favorite cloud storage services - [CloudQuery](https://motherduck.com/docs/integrations/ingestion/cloudquery): CloudQuery is a data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Creating a new integration](https://motherduck.com/docs/integrations/how-to-integrate): Guidelines for integrating your application with MotherDuck, including connection strings and custom user agent configuration. - Sections: Language and framework examples {#custom-user-agent-examples}, Implementation best practices - [CSV](https://motherduck.com/docs/integrations/file-formats/csv): CSV is a simple text format for tabular data. DuckDB can read CSV files from local paths, HTTPS URLs, and supported cloud storage locations, then load the results into MotherDuck tables. - Sections: How it works with MotherDuck, Example, Remote CSV files, Google Sheets CSV exports, Related content - [Cube](https://motherduck.com/docs/integrations/bi-tools/cube): Cube is a semantic layer for building and visualizing data. It integrates with MotherDuck for dashboards, semantic models, and embedded analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Dagster](https://motherduck.com/docs/integrations/orchestration/dagster): Dagster is a platform for authoring, scheduling, and monitoring workflows. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [Data Quality Tools](https://motherduck.com/docs/integrations/data-quality): Monitor and maintain data quality in MotherDuck - [Data Science & AI](https://motherduck.com/docs/integrations/data-science-ai): Use MotherDuck with your favorite data science and AI tools - [Data Transformation](https://motherduck.com/docs/integrations/transformation): Transform your data inside MotherDuck - [Data Wisp](https://motherduck.com/docs/integrations/bi-tools/data-wisp): Data Wisp is an AI data assistant for answering business questions in natural language. It integrates with MotherDuck for conversational analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [databases](https://motherduck.com/docs/integrations/databases): Use MotherDuck with your favorite databases - [Datalab](https://motherduck.com/docs/integrations/data-science-ai/datalab): Interactive data science platform for exploring and analyzing data with MotherDuck. It integrates with MotherDuck for notebooks, assistants, and AI-powered analysis workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Development Tools](https://motherduck.com/docs/integrations/dev-tools): Developer tools and utilities that work with MotherDuck - [dlt (data load tool)](https://motherduck.com/docs/integrations/ingestion/dlt): dlt is an open-source Python library that loads data from various, often messy data sources into well-structured, live datasets. It offers a lightweight interface for extracting data from REST APIs, SQL databases, cloud storage, Python data structures, and many more. - Sections: Authentication, Minimal example - [Dot](https://motherduck.com/docs/integrations/bi-tools/dot): AI data analyst that answers questions and provides insights through conversational analytics. It integrates with MotherDuck for dashboards, semantic models, and embedded analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [DuckDB UI](https://motherduck.com/docs/integrations/sql-ides/duckdb-ui): DuckDB UI is a local SQL interface for DuckDB. You can use it with MotherDuck when you want a lightweight SQL workspace backed by the DuckDB CLI and an md: connection. - Sections: How it works with MotherDuck, Example, Related content - [Estuary](https://motherduck.com/docs/integrations/ingestion/estuary): Real-time data integration platform for streaming data between systems. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Excel](https://motherduck.com/docs/integrations/file-formats/excel): Excel workbooks can be loaded through DuckDB's Excel extension and stored in MotherDuck for repeatable SQL analysis. - Sections: How it works with MotherDuck, Example, Related content - [Expanso](https://motherduck.com/docs/integrations/ingestion/expanso): Data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Explo](https://motherduck.com/docs/integrations/bi-tools/explo): Explo is a platform for embedded analytics, AI analytics, and data sharing in customer-facing products. It integrates with MotherDuck as a data source. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Fabi.ai](https://motherduck.com/docs/integrations/data-science-ai/fabi-ai): Fabi.ai is an AI-native notebook and BI workspace for Python, SQL, dashboards, and workflows. It integrates with MotherDuck for exploration and analysis. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [File Formats](https://motherduck.com/docs/integrations/file-formats): Load data into MotherDuck using various file formats - [Fivetran](https://motherduck.com/docs/integrations/ingestion/fivetran): Automated data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Fivetran Activations (formerly Census)](https://motherduck.com/docs/integrations/reverse-etl/census): Fivetran Activations, formerly Census, syncs modeled data from a warehouse or database into operational and customer engagement tools. MotherDuck is available as a source in Fivetran Activations, which means Activations can read from MotherDuck and sync selected data to supported activation destinations. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Gooddata](https://motherduck.com/docs/integrations/bi-tools/gooddata): Enterprise analytics platform for building data products and embedded analytics. It integrates with MotherDuck for dashboards, semantic models, and embedded analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Google Colab](https://motherduck.com/docs/integrations/data-science-ai/google-colab): Google Colab notebooks can query MotherDuck by installing DuckDB and opening an md: connection from Python. - Sections: How it works with MotherDuck, Example, Related content - [Grafana](https://motherduck.com/docs/integrations/bi-tools/grafana): Grafana is an observability and dashboarding platform for building dashboards, alerts, and exploratory views. The MotherDuck-maintained DuckDB data source plugin lets Grafana query local DuckDB files and MotherDuck databases. - Sections: How it works with MotherDuck, Related content - [Great Expectations](https://motherduck.com/docs/integrations/data-quality/great-expectations): Great Expectations is a data quality management platform combining data quality and data governance. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows. - Sections: How it works with MotherDuck, Related content - [Hevo](https://motherduck.com/docs/integrations/ingestion/hevo): Hevo is a data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Holistics](https://motherduck.com/docs/integrations/bi-tools/holistics): Holistics helps data teams set up self-service BIs that are reliable and easy to maintain. Everyone can now self-serve data with confidence by applying software's best practices. It integrates with MotherDuck for dashboards, semantic models, and embedded analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [InfinyOn](https://motherduck.com/docs/integrations/ingestion/infinyon): Real-time data integration platform for streaming data between systems. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Ingestion](https://motherduck.com/docs/integrations/ingestion): Configure MotherDuck as the destination for your data in the following data ingestion tools - [Integrations](https://motherduck.com/docs/integrations): Integrations that work with MotherDuck from the modern data stack - Sections: Supported Integrations, Diagram: Modern Duck Stack - [JSON](https://motherduck.com/docs/integrations/file-formats/json): JSON is a common format for semi-structured data. DuckDB can read JSON files and load the results into MotherDuck for SQL analytics. - Sections: How it works with MotherDuck, Example, Related content - [Jupyter](https://motherduck.com/docs/integrations/data-science-ai/jupyter): Jupyter notebooks can query MotherDuck through the DuckDB Python package and an md: connection string. - Sections: How it works with MotherDuck, Example, Related content - [Kestra](https://motherduck.com/docs/integrations/orchestration/kestra): Open-source data orchestration and scheduling platform for building ETL pipelines. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [LangChain](https://motherduck.com/docs/integrations/data-science-ai/langchain): LangChain is a framework for building and deploying language models. It integrates with MotherDuck for notebooks, assistants, and AI-powered analysis workflows. - Sections: How it works with MotherDuck, Related content - [Language APIs & Drivers](https://motherduck.com/docs/integrations/language-apis-and-drivers): Connect to MotherDuck using your preferred programming language - [LlamaIndex](https://motherduck.com/docs/integrations/data-science-ai/llamaindex): LlamaIndex is a framework for building and deploying language models. It integrates with MotherDuck for notebooks, assistants, and AI-powered analysis workflows. - Sections: How it works with MotherDuck, Related content - [Mage](https://motherduck.com/docs/integrations/ingestion/mage): Mage is a data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Microsoft Power BI](https://motherduck.com/docs/integrations/bi-tools/powerbi): Power BI is an interactive data visualization product developed by Microsoft. You can connect Power BI to MotherDuck through the built-in PostgreSQL database connector using MotherDuck's Postgres endpoint. - [Monte Carlo](https://motherduck.com/docs/integrations/data-quality/monte-carlo): End-to-end data observability platform for monitoring data quality and reliability. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [MySQL](https://motherduck.com/docs/integrations/databases/mysql): MySQL is a relational database commonly used for application data. DuckDB's MySQL extension can read from MySQL-compatible databases, which lets you copy selected data into MotherDuck from a DuckDB client. - Sections: How it works with MotherDuck, Example, Related content - [Node.js](https://motherduck.com/docs/integrations/language-apis-and-drivers/node-js): The DuckDB Node.js client can connect to MotherDuck with an md: connection string, so JavaScript and TypeScript applications can query MotherDuck directly. - Sections: How it works with MotherDuck, Example, Related content - [Omni](https://motherduck.com/docs/integrations/bi-tools/omni): Modern business intelligence platform for creating interactive dashboards and data visualizations. It integrates with MotherDuck for dashboards, semantic models, and embedded analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [OneSignal](https://motherduck.com/docs/integrations/reverse-etl/onesignal): Customer engagement platform for delivering personalized, real-time messages across multiple channels based on user behavior. It integrates with MotherDuck for syncing modeled MotherDuck data into operational and customer engagement tools. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Orchestra](https://motherduck.com/docs/integrations/orchestration/orchestra): Orchestra is a platform for building and managing data pipelines. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Orchestration](https://motherduck.com/docs/integrations/orchestration): Orchestrate data pipelines with MotherDuck - [Paradime](https://motherduck.com/docs/integrations/transformation/paradime): Modern data transformation platform for building and managing data pipelines. It integrates with MotherDuck for running data transformation projects against MotherDuck. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Parquet](https://motherduck.com/docs/integrations/file-formats/parquet): Parquet is a columnar file format designed for analytics. DuckDB can query Parquet files directly and persist the result as a MotherDuck table. - Sections: How it works with MotherDuck, Example, Related content - [Polytomic](https://motherduck.com/docs/integrations/ingestion/polytomic): Use Polytomic to sync data to and from MotherDuck for ETL and reverse ETL workflows. - Sections: Prerequisites, Connect to MotherDuck, S3 staging bucket for writes, Sync data to MotherDuck, Sync data from MotherDuck, Related content - [Prefect](https://motherduck.com/docs/integrations/orchestration/prefect): Prefect is a platform for authoring, scheduling, and monitoring workflows. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [Puppygraph](https://motherduck.com/docs/integrations/dev-tools/puppygraph): Graph visualization tool for exploring and analyzing data relationships in DuckDB. It integrates with MotherDuck for development workflows that read from or write to MotherDuck. - Sections: How it works with MotherDuck, Related content - [Python](https://motherduck.com/docs/integrations/language-apis-and-drivers/python/python-overview): Python is a programming language for building and deploying web applications. - [Reverse ETL](https://motherduck.com/docs/integrations/reverse-etl): Reverse ETL tools and utilities that work with MotherDuck - [Rill Data](https://motherduck.com/docs/integrations/bi-tools/rill-data): Rill Data is a data platform for building and visualizing data. It integrates with MotherDuck for dashboards, semantic models, and embedded analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Salesforce](https://motherduck.com/docs/integrations/ingestion/salesforce): Salesforce is a CRM platform for sales, marketing, service, and customer data. To analyze Salesforce data in MotherDuck, use an ingestion tool that supports Salesforce as a source and MotherDuck as a destination. - Sections: How it works with MotherDuck, Related content - [Secoda](https://motherduck.com/docs/integrations/data-quality/secoda): Data discovery and documentation platform for managing data quality and governance. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Serverless Compute](https://motherduck.com/docs/integrations/serverless-compute): Connect to MotherDuck from serverless and edge compute platforms - [ShadowTraffic](https://motherduck.com/docs/integrations/dev-tools/shadowtraffic): ShadowTraffic is a synthetic data generation tool for simulating production traffic to your backend. It integrates with MotherDuck for development workflows that read from or write to MotherDuck. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Sling](https://motherduck.com/docs/integrations/ingestion/sling): Data integration platform for connecting data sources to warehouses. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Soda](https://motherduck.com/docs/integrations/data-quality/soda): Data quality platform for monitoring and managing data quality in your pipelines. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [SQL IDEs](https://motherduck.com/docs/integrations/sql-ides): Use MotherDuck with your favorite SQL development environments - [SQLMesh](https://motherduck.com/docs/integrations/transformation/sqlmesh): SQLMesh is a data transformation tool for building and managing data pipelines. It integrates with MotherDuck for running data transformation projects against MotherDuck. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Stacksync](https://motherduck.com/docs/integrations/ingestion/stacksync): Stacksync helps your teams access and manipulate CRM and ERP data through your existing databases. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Streamkap](https://motherduck.com/docs/integrations/ingestion/streamkap): Streamkap is a stream processing platform built for Change Data Capture (CDC) and event sources. It makes it easy to move operational data into analytics systems like MotherDuck with low latency and high reliability. Streamkap offers various sources, including PostgreSQL, MySQL, SQL Server, a range of SQL and NoSQL databases, Kafka, and other storage systems. - Sections: Overview, Prerequisites, MotherDuck setup, Configure the S3 source in MotherDuck, Query data from the S3 bucket - [Streamlit](https://motherduck.com/docs/integrations/web-development/streamlit): Streamlit is a web development platform for building and visualizing data. It integrates with MotherDuck for applications that query MotherDuck through a supported server-side connection. - Sections: How it works with MotherDuck, Related content - [Supabase](https://motherduck.com/docs/integrations/databases/supabase): Supabase is a Postgres platform for building applications with a managed database, APIs, authentication, storage, and realtime features. Supabase's documented DuckDB Wrapper can query MotherDuck from a Supabase Postgres database through a foreign data wrapper. - Sections: How it works with MotherDuck, Related content - [Tableau](https://motherduck.com/docs/integrations/bi-tools/tableau): Tableau is a widely-used business intelligence and data visualization platform that enables data analysts to build interactive dashboards and reports. You can connect Tableau Cloud to MotherDuck through the built-in PostgreSQL connector using MotherDuck's Postgres endpoint. For Tableau Desktop and Server, use the DuckDB JDBC connector. - [Union.ai](https://motherduck.com/docs/integrations/orchestration/union-ai): Union.ai is a platform for building and managing data pipelines. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [Unstructured.io](https://motherduck.com/docs/integrations/ingestion/unstructured-io): Unstructured.io is an ingestion platform for processing unstructured data. It integrates with MotherDuck for loading data from operational systems, APIs, files, or event streams. - Sections: How it works with MotherDuck, Related content - [Vanna](https://motherduck.com/docs/integrations/dev-tools/vanna): Vanna is a data science and AI framework for building and sharing data applications. It integrates with MotherDuck for development workflows that read from or write to MotherDuck. - Sections: How it works with MotherDuck, Related content - [Web Development](https://motherduck.com/docs/integrations/web-development): Build web applications with MotherDuck - [Windmill](https://motherduck.com/docs/integrations/orchestration/windmill): Windmill is a platform for building and managing data pipelines. It integrates with MotherDuck for scheduling DuckDB and MotherDuck tasks in repeatable data workflows. - Sections: How it works with MotherDuck, Related content - [Wobby](https://motherduck.com/docs/integrations/data-science-ai/wobby): Wobby provides AI analysts for delivering business-ready insights in Slack or Teams. It integrates with MotherDuck for connecting those analysis workflows to your data. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases... - [Zenlytic](https://motherduck.com/docs/integrations/bi-tools/zenlytic): Zenlytic is a data visualization platform for building and visualizing data. It integrates with MotherDuck for dashboards, semantic models, and embedded analytics workflows. - Sections: How it works with MotherDuck, Prerequisites, Setup, Authentication and configuration, Important notes, Use cases...