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databendlabs/databend

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, with agent-ready capabilities for AI workloads.

Core Features

Unified engine for analytics, vector search, and full-text search.

Agent-ready architecture with secure Python UDF sandboxes and SQL orchestration.

Cloud-native and enterprise-scale, supporting S3, Azure, and GCS.

Git-like data versioning (branching) for safe experimentation.

Auto schema evolution and transactional reliability.

Quick Start

docker run -p 8000:8000 datafuselabs/databend

Detailed Introduction

Databend is an open-source enterprise data warehouse engineered in Rust, designed to unify large-scale analytics, vector search, and full-text search within a single engine. It features an innovative agent-ready architecture, enabling secure Python UDF sandboxes and SQL orchestration for building and running AI agents directly on enterprise data. With cloud-native scalability, support for major object storage services, and Git-like data versioning, Databend provides a robust and flexible platform for modern AI and data workloads, ensuring reliability and safe experimentation.