Companies built on DuckDB

This destination writes data to the MotherDuck service, or to a file on the local filesystem on the host running Airbyte.

The zero-copy integration between DuckDB and Apache Arrow allows for rapid analysis of larger than memory datasets in Python and R using either SQL or relational APIs.

Running DuckDB in AWS Glue is well suited to SQL-centric transformations such as filters, joins, and aggregations.

Bruin supports using a local DuckDB database.

Below is an example of using DuckDB to connect to Basin Catalog.

Last month we dove in for ourselves and integrated DuckDB into the canvas.

This integration uses the dagster-duckdb package, which supports both local DuckDB and MotherDuck.

DuckDB is an embedded database, similar to SQLite, but designed for OLAP-style analytics.

DataFrame SQL uses duckdb under the hood.

A lightweight data processing framework built on DuckDB and 3FS.

Embedded DuckDB + DuckLake run inside the API & Job Runner pods — no separate query server.

DuckLabs has teamed up with Databricks to add first-party support for Delta Lake in DuckDB

By default, dlt creates a DuckDB database in the current working directory.

DuckDB-Wasm brings DuckDB to every browser thanks to WebAssembly.

DuckDB provides first-class support for DuckLake and can use PostgreSQL, SQLite or DuckDB as the catalog database.

The connector uses a supported object storage service to materialize to MotherDuck tables.

This tutorial explains how to query Fivetran-managed Apache Iceberg tables directly from DuckDB.

Fugue also has FugueSQL, which is a SQL-like interface for pushing down to backends (DuckDB, Spark, Dask).

Fused extends DuckDB to bring quick serverless operations on any scale dataset.

Greybeam routes eligible queries to DuckDB and everything else to Snowflake.

SQL cells can query ... dataframes (to query in-memory dataframes and CSVs using DuckDB).

You can use the Hugging Face paths (hf://) to access data on the Hub

Ibis offers a familiar local dataframe experience with outstanding performance, using DuckDB by default.

The iceberg extension implements support for the Apache Iceberg open table format.

JupySQL integrates with DuckDB so you can run SQL queries in a Jupyter notebook.

Write standard DuckDB SQL in the task sql property.

langchain_community.vectorstores.duckdb.DuckDB (DuckDB vector store class)

Lightdash supports DuckDB project connections in two modes:

LlamaIndex Vector_Stores Integration: Duckdb

When the sea lion learns to quack: DuckDB as a MariaDB storage engine

By default, marimo uses the in-memory duckdb connection.

The Metabase DuckDB driver allows Metabase to use the embedded DuckDB database.

Python notebooks come with preinstalled libraries such as DuckDB, Polars, and Scikit-learn

ultimately decided to choose DuckDB as the replacement database.

Mosaic pushes computation to DuckDB, both server-side and in your browser via WebAssembly.

MotherDuck is a modern, serverless data warehouse built on DuckDB.

Lazy-only support: Dask, DuckDB, Ibis, PySpark, SQLFrame

DuckDB-Wasm is available by default as duckdb in Markdown

Okta turned to serverless DuckDB for all data preprocessing, normalization, and operational metadata harvesting.

We're super excited to embrace DuckDB at Omni.

Pandas DataFrames stored in local variables can be queried as if they are regular tables within DuckDB.

dialect = "duckdb" if source.type in LOCAL_SOURCE_TYPES else source.type

Virtual servers for DuckDB, ClickHouse, PostgreSQL and Polars

DuckDB runs inside PgStack's Postgres-compatible server to execute SQL over this data.

Polars is compatible with a wide range of libraries that also make use of Apache Arrow, like Pandas and DuckDB.

You can directly open .csv, .tsv, .parquet, and .xlsx files (using DuckDB)

We've rebuilt on top of DuckDB.

This changed with the release of MotherDuck, though, which allows users to run queries on the cloud.

Make APIs, services, files, databases, models, and custom code queryable from DuckDB today—and from more query engines over time.

By default, Rill includes DuckDB as an embedded OLAP engine that ingests data from data sources and powers your dashboards.

Connect & Ingest data from / to a DuckDB database

SQL Workbench is a free, browser-based SQL editor powered by DuckDB WebAssembly.

This year, Hydra and pg_duckdb will make it easier than ever to get fast analytics on large data volumes in Postgres.

Required packages: duckdb-engine. DuckDB supports both local file and in-memory databases.

MotherDuck provides a simplified, performant and efficient data warehouse (based on the lightweight DuckDB engine).

The unity_catalog extension adds support for the Unity Catalog atop the Delta Lake format and DuckDB Delta extension.

Any Database: PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, SQLite, Oracle, SQL Server, DuckDB, ClickHouse

The SpiralDB team built a DuckDB extension.

DuckDB is one of the core technologies powering our pipelines.