Snowflake + Elasticsearch + Vector Search β unified in one Rust-powered warehouse. Native on S3.
databend
Databend is an open-source, All-in-One multimodal database built in Rust. It seamlessly unifies Analytics, AI, Search, and Geo workloads into a single platform, enabling high-performance processing directly on top of object storage.
| π BI & Analytics Supercharge your analytics with a high-performance, vectorized SQL query engine. |
β¨ Vector Search Power AI and RAG applications with built-in, high-speed vector similarity search. |
| π JSON Search Seamlessly query and analyze semi-structured data with powerful JSON optimization. |
π Geo Search Efficiently store, index, and query geospatial data for location intelligence. |
| π ETL Pipeline Streamline data ingestion and transformation with built-in Streams and Tasks. |
πΏ Branching Create isolated Copy-on-Write branches instantly for dev, test, or experiments. |
Start for free on Databend Cloud - Production-ready in 60 seconds.
Ideal for development and testing:
pip install databend
import databend ctx = databend.SessionContext() ctx.sql("SELECT 'Hello, Databend!'").show()
Run the full warehouse locally:
docker run -p 8000:8000 datafuselabs/databend
- BI & Analytics: High-speed SQL on massive datasets. See Query Processing.
- AI & Vectors: Built-in vector search and embedding management. See Vector Database.
- Full-Text Search: Fast indexing and retrieval on text and semi-structured data (JSON). See JSON Search.
- Geospatial: Advanced geo-analytics and mapping. See Geospatial Analysis.
- Stream & Task: Continuous data ingestion and transformation. See Real-Time ETL.
Contributors are immortalized in the system.contributors table! π
Apache 2.0 + Elastic 2.0 | Licensing FAQ