Enterprise Data Warehouse
9.3k 2026-04-18

databendlabs/databend

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, specifically designed for AI agents with secure Python UDF sandboxes.

Core Features

Unified engine for large-scale analytics, vector search, and full-text search.
Agent-ready architecture with secure Python UDF sandboxes and SQL orchestration.
Enterprise-scale, cloud-native design supporting S3, Azure, and GCS.
Git-like data versioning (branching) for safe experimentation on production data.
Built in Rust for performance and reliability.

Quick Start

docker run -p 8000:8000 datafuselabs/databend

Detailed Introduction

Databend is an open-source enterprise data warehouse engineered in Rust, providing a unified platform for large-scale analytics, vector search, and full-text search. It stands out with its 'Agent-Ready' architecture, enabling flexible AI agent orchestration through secure Python UDF sandboxes and SQL. Designed for enterprise AI workloads, Databend offers elastic compute, cloud-native scalability across S3, Azure, and GCS, and features like Git-like data branching for safe experimentation, making it a robust solution for modern data and AI applications.

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