# databend
**Repository Path**: mirrors/databend
## Basic Information
- **Project Name**: databend
- **Description**: Databend 是一个具有云原生架构的现代实时数据处理和分析 DBMS，旨在简化数据云
- **Primary Language**: HTML/CSS
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: https://www.oschina.net/p/databend
- **GVP Project**: No
## Statistics
- **Stars**: 4
- **Forks**: 1
- **Created**: 2021-09-16
- **Last Updated**: 2026-01-24
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
Databend
One Rust Warehouse for Analytics, Search, AI
Snowflake + Elasticsearch + Vector Search — unified in one Rust-powered warehouse. Native on S3.
## 💡 Why 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.
| | |
| :--- | :--- |
| **📊 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](https://docs.databend.com/guides/cloud/) - Production-ready in 60 seconds.
### 2. Local (Python)
Ideal for development and testing:
```bash
pip install databend
```
```python
import databend
ctx = databend.SessionContext()
ctx.sql("SELECT 'Hello, Databend!'").show()
```
### 3. Docker
Run the full warehouse locally:
```bash
docker run -p 8000:8000 datafuselabs/databend
```
## 🚀 Use Cases
- **BI & Analytics**: High-speed SQL on massive datasets. See [Query Processing](https://docs.databend.com/guides/query/sql-analytics).
- **AI & Vectors**: Built-in vector search and embedding management. See [Vector Database](https://docs.databend.com/guides/query/vector-db).
- **Full-Text Search**: Fast indexing and retrieval on text and semi-structured data (JSON). See [JSON Search](https://docs.databend.com/guides/query/json-search).
- **Geospatial**: Advanced geo-analytics and mapping. See [Geospatial Analysis](https://docs.databend.com/guides/query/geo-analytics).
- **Stream & Task**: Continuous data ingestion and transformation. See [Real-Time ETL](https://docs.databend.com/guides/query/lakehouse-etl).
## 🤝 Community & Support
- [📖 Documentation](https://docs.databend.com/)
- [💬 Join Slack](https://link.databend.com/join-slack)
- [🐛 Issue Tracker](https://github.com/databendlabs/databend/issues)
- [🗺️ Roadmap](https://github.com/databendlabs/databend/issues/14167)
**Contributors are immortalized in the `system.contributors` table! 🏆**
## 📄 License
[Apache 2.0](licenses/Apache-2.0.txt) + [Elastic 2.0](licenses/Elastic.txt) | [Licensing FAQ](https://docs.databend.com/guides/products/dee/license)
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