Databend is an open source cloud-native data warehouse designed for large-scale analytics and modern data workloads. Built in Rust, the system focuses on high performance, scalability, and efficient data processing for analytical queries. It is designed with a separation of compute and storage, allowing compute nodes to scale independently while storing data in object storage systems. This architecture enables cost-efficient storage and elastic scaling for workloads that involve large datasets and complex queries. Databend provides a unified engine capable of handling analytics, vector search, and full-text search within a single platform. Databend supports SQL-based workflows and enables real-time data ingestion, transformation, and analysis through streaming and task orchestration features. With its cloud-native design and distributed architecture, Databend can run both as a self-hosted system or within managed environments to power data analytics, AI workloads, and large-scale data.

Features

  • Cloud-native data warehouse architecture built in Rust
  • Separation of compute and storage for elastic scaling
  • SQL-based analytics engine for large-scale data queries
  • Integrated vector search and full-text search capabilities
  • Support for structured, semi-structured, and vector data
  • Real-time data ingestion, processing, and analytics workflows

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License

Apache License V2.0

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