Databend: The Next-Gen Cloud [Data+AI] Analytics
SQL for All Data: structured, semi-structured & unstructured multimodal data
The AI-Native Data Warehouse
Databend is the open-source alternative to Snowflake with near 100% SQL compatibility and native AI capabilities. Built in Rust with MPP architecture and S3-native storage, Databend unifies structured tables, JSON documents, and vector embeddings in a single platform. Trusted by world-class enterprises managing 800+ petabytes and 100+ million queries daily.
Key Features
Performance & Scale
- 10x Faster: Rust-powered vectorized execution with SIMD optimization
- 90% Cost Reduction: S3-native storage eliminates proprietary overhead
- Infinite Scale: True compute-storage separation with elastic scaling
- Production-Proven: Powers financial analytics, ML pipelines, and real-time AI inference
Enterprise Ready
- Snowflake Compatible: Migrate with zero SQL rewrites
- Multi-Cloud: Deploy on AWS, Azure, GCP, or on-premise
- Security: Role-based access, data masking, audit logging
- No Vendor Lock-in: Complete data sovereignty and control
Performance Benchmarks
TPC-H Benchmark: Databend vs. Snowflake | Data Ingestion Benchmark | ClickBench Results
Architecture
Unified Foundation: S3-native storage + MPP query engine + elastic compute clusters
Universal Data Processing by Type
- Structured: Standard SQL with vectorized execution, ACID transactions, enterprise security, and BI integration
- Semi-Structured: VARIANT data type with virtual columns for zero-config automatic JSON acceleration
- Unstructured: Vector data type with HNSW indexing, AI functions, and full-text search for multimodal workloads
Quick Start
Cloud
Start with Databend Cloud - Production-ready in 60 seconds
Self-Hosted
Installation Guide - Deploy anywhere with full control
Connect
BendSQL CLI | Developers Guide
Products
- Open Source: 100% open source, complete data sovereignty
- Databend Cloud: Managed service with serverless autoscaling
- Enterprise: Advanced governance, compliance, and support
Community
For guidance on using Databend, we recommend starting with the official documentation. If you need further assistance, explore the following community channels:
- Slack (For live discussion with the Community)
- GitHub (Feature/Bug reports, Contributions)
- Twitter (Get the news fast)
- I'm feeling lucky (Pick up a good first issue now!)
Your merged code gets you into the system.contributors table. Forever.
Roadmap & License
- Roadmap: 2025 Development Plan
- License: Apache License 2.0 + Elastic License 2.0 | Licensing FAQs
Acknowledgement
Inspiration: ClickHouse and Snowflake | Foundation: Apache Arrow | Hosting: Vercel
Built by engineers who redefine what's possible with data.