Databend
An open-source enterprise data warehouse built in Rust for AI agents, analytics, vector search, and full-text search.
What is Databend?
Databend is an open-source enterprise data warehouse built in Rust that unifies large-scale SQL analytics, vector search, and full-text search within a single engine. It is specifically designed for enterprise AI workloads, providing a secure and flexible platform for agent orchestration and data operations. The engine features cloud-native design, elastic compute, and Git-like data branching for versioning.
Data engineers and AI/ML teams building and orchestrating AI agents on enterprise data, requiring a unified platform for analytics, search, and secure agent execution. It also targets organizations needing a scalable, cloud-native data warehouse compatible with S3, Azure, and GCS storage.
Developers choose Databend for its unique unification of analytics, vector search, and full-text search in one engine, eliminating the need for multiple specialized systems. Its key differentiator is the agent-ready architecture with secure, sandboxed Python UDFs for agent logic and SQL-based orchestration, combined with data branching for safe experimentation on production data snapshots.
Overview
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
Use Cases
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