duckdb
Data is better when we see it!
Duck-UI makes working with data easy. Run SQL queries directly in your browser with DuckDB WASM - no server required!
Duck-UI is a web-based interface for interacting with DuckDB, a high-performance analytical database system. It features a SQL editor, data import/export, data explorer, query history, theme toggle, and keyboard shortcuts, all running seamlessly in the browser using DuckDB's WebAssembly (WASM) capabilities.
Fastest Time-Series Database. High-performance time-series data warehouse built on DuckDB and Parquet with flexible storage options.
Time-series data warehouse built for speed. 2.42M records/sec on local NVMe. DuckDB + Parquet + Arrow + flexible storage (local/MinIO/S3). AGPL-3.0
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Lance is a modern columnar data format optimized for machine learning and AI applications. It efficiently handles diverse multimodal data types while providing high-performance querying and versioning capabilities.
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High-performance time-series data warehouse built on DuckDB, Parquet, and MinIO.
Time-series data warehouse built for speed. 1.89M records/sec on native deployment. DuckDB + Parquet + MinIO. AGPL-3.0
Python SQL Parser and Transpiler.
SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 31 different dialects like DuckDB, Presto / Trino, Spark / Databricks, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects.
DuckDB-powered Postgres for high performance apps & analytics. :
pg_duckdb integrates DuckDB's columnar-vectorized analytics engine into PostgreSQL, enabling high-performance analytics and data-intensive applications.
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Sirius is a GPU-native SQL engine. It plugs into existing databases such as DuckDB via the standard Substrait query format, requiring no query rewrites or major system changes. Sirius currently supports DuckDB and Doris (coming soon), other systems marked with * are on our roadmap.
DuckLake is an integrated data lake and catalog format
DuckLake delivers advanced data lake features without traditional lakehouse complexity by using Parquet files and your SQL database. It's an open, standalone format from the DuckDB team.
DuckLake is an open Lakehouse format that is built on SQL and Parquet. DuckLake stores metadata in a catalog database, and stores data in Parquet files. The DuckLake extension allows DuckDB to directly read and write data from DuckLake.
A Doom-like game using DuckDB.
A 3D first-person shooter game implemented entirely in SQL using DuckDB-WASM.
Quacklytics is an open-source analytics service built using DuckDB and designed to run analytical queries directly inside your browser. It provides a seamless, lightweight, and high-performance way to process your data without the need for expensive server-side compute resources.
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev.
A fast, free and open-source Modern Data Stack (MDS) that can be fully deployed on your laptop or to a single machine.
This project implements a sports Monte Carlo simulator using duckdb, dbt, and evidence. The project is built and run about once per day in a github action. You can learn more about this on the original blog post or on the about page.
select * from logs;
Open source SIEM for instant log insights, powered by DuckDB. Analyze millions of events in seconds, right from your terminal.