Databend Community

Databend is an open-source, elastic, and workload-aware cloud data warehouse built in Rust, offering a cost-effective alternative to Snowflake. It's designed for complex analysis of the world's largest datasets.

Performance

• Blazing-fast data analytics on object storage.
• Leverages data-level parallelism and instruction-level parallelism technologies for optimal performance.
• No indexes to build, no manual tuning, and no need to figure out partitions or shard data.

Data Manipulation

• Supports atomic operations such as SELECT, INSERT, DELETE, UPDATE, REPLACE, COPY, and MERGE.
• Provides advanced features such as Time Travel and Multi Catalog (Apache Hive / Apache Iceberg).
• Supports ingestion of semi-structured data in various formats like CSV, JSON, and Parquet.
• Supports semi-structured data types such as ARRAY, MAP, and JSON.
• Supports Git-like MVCC storage for easy querying, cloning, and restoration of historical data.

Object Storage

• Supports various object storage platforms. Click here to see a full list of supported platforms.
• Allows instant elasticity, enabling users to scale up or down based on their application needs.

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