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One Warehouse for Analytics, Search, AI. Snowflake + Elasticsearch + Vector DB — rebuilt from scratch. Unified architecture on your S3.

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Databend

The All-in-One Cloud Data Warehouse for Analytics & AI

Built inRust for blazing fast, cost-efficient analytics.
Open-source,Snowflake-compatible, and designed to unify BI, Search, and AI on object storage.

☁️ Try Cloud •🚀 Quick Start •📖 Documentation •💬 Slack

💡 Why Databend?

Databend is an open-source,All-in-One multimodal database built in Rust. It seamlessly unifiesAnalytics,AI,Search, andGeo workloads into a single platform, enabling high-performance processing directly on top of object storage.


📊 BI & Analytics Supercharge your analytics with a high-performance, vectorized SQL query engine.	✨ Vector Search Power AI and RAG applications with built-in, high-speed vector similarity search.
📄 JSON Search Seamlessly query and analyze semi-structured data with powerful JSON optimization.	🌍 Geo Search Efficiently store, index, and query geospatial data for location intelligence.
🔄 ETL Pipeline Streamline data ingestion and transformation with built-in Streams and Tasks.	🌿 Branching Create isolated Copy-on-Write branches instantly for dev, test, or experiments.

⚡ Quick Start

1. Cloud (Recommended)

Start for free on Databend Cloud - Production-ready in 60 seconds.

2. Local (Python)

Ideal for development and testing:

pip install databend

importdatabendctx=databend.SessionContext()ctx.sql("SELECT 'Hello, Databend!'").show()

3. Docker

Run the full warehouse locally:

docker run -p 8000:8000 datafuselabs/databend

🚀 Use Cases

BI & Analytics: High-speed SQL on massive datasets. SeeQuery Processing.
AI & Vectors: Built-in vector search and embedding management. SeeVector Database.
Full-Text Search: Fast indexing and retrieval on text and semi-structured data (JSON). SeeJSON Search.
Geospatial: Advanced geo-analytics and mapping. SeeGeospatial Analysis.
Stream & Task: Continuous data ingestion and transformation. SeeReal-Time ETL.