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Showing content from https://github.com/datafuselabs/databend below:

databendlabs/databend: 𝗔𝗜-𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲. Open-source Snowflake alternative. Proven at petabyte scale with enterprise performance. Built for multimodal analytics. https://databend.com

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.

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

TPC-H Benchmark: Databend vs. Snowflake | Data Ingestion Benchmark | ClickBench Results

Unified Foundation: S3-native storage + MPP query engine + elastic compute clusters

• 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

Start with Databend Cloud - Production-ready in 60 seconds

Installation Guide - Deploy anywhere with full control

BendSQL CLI | Developers Guide

• Open Source: 100% open source, complete data sovereignty
• Databend Cloud: Managed service with serverless autoscaling
• Enterprise: Advanced governance, compliance, and support

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: 2025 Development Plan
• License: Apache License 2.0 + Elastic License 2.0 | Licensing FAQs

Inspiration: ClickHouse and Snowflake | Foundation: Apache Arrow | Hosting: Vercel

Built by engineers who redefine what's possible with data.

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