SQL analytics, vector search, and full-text search in a single Rust warehouse on object storage: fast, elastic, and grows with your data — with sandboxed Python UDFs for agents.

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Databend is an open-source data warehouse built in Rust. Analytics, search, and agent workloads run on the same tables, so there is no second system to sync.

Published results on Databend Cloud with default settings. Each page includes the SQL to reproduce it.

See all benchmarks.

Cloud (Recommended) — Sign up, create a warehouse, and run SQL in the worksheet. Cloud guide →

Self-hosted — Run the all-in-one image and connect with BendSQL:

docker run -d -p 127.0.0.1:8000:8000 datafuselabs/databend
bendsql -u root

See Docker image options and self-hosted deployment for credentials, storage, and production setup.

Analytics, full-text search, and vector search in one table:

CREATE TABLE docs (
    id INT,
    content STRING,
    embedding VECTOR(3),
    INVERTED INDEX content_idx(content),
    VECTOR INDEX embedding_idx(embedding) distance = 'cosine'
);

INSERT INTO docs VALUES
    (1, 'SQL analytics for agents', [1.0, 0.0, 0.0]),
    (2, 'Vector search for documents', [0.0, 1.0, 0.0]);

SELECT id, content FROM docs WHERE MATCH(content, 'analytics');

SELECT id, content FROM docs
ORDER BY COSINE_DISTANCE(embedding, [1.0, 0.0, 0.0]::VECTOR(3))
LIMIT 1;

Both queries return document 1. Learn more: Vector search · JSON & search.

Databend's Sandbox UDF enables flexible agent orchestration with a three-layer architecture:

• Control Plane: Resource scheduling, permission validation, sandbox lifecycle management
• Execution Plane (Databend): SQL orchestration, issues requests via Arrow Flight
• Compute Plane (Sandbox Workers): Isolated sandboxes running your agent logic

-- Define your agent logic
CREATE FUNCTION my_agent(input STRING) RETURNS STRING
LANGUAGE python HANDLER = 'run'
AS $$
def run(input):
    # Your agent logic: LLM calls, tool use, reasoning...
    answer = f"processed: {input}"
    return answer
$$;

-- Orchestrate agents with SQL
SELECT my_agent(question) FROM tasks;

• AI Agents: Sandbox UDF + SQL orchestration + branching for safe operations
• Analytics & BI: Large-scale SQL analytics — Learn more
• Search & RAG: Vector + full-text search — Learn more

• 📖 Documentation
• 💬 Join Slack
• 🐛 Issue Tracker
• 🗺️ Roadmap
• 🛠️ Contributing — AI-assisted PRs are welcome; a responsible human must review the full diff

Contributors are immortalized in the system.contributors table 🏆

Databend is licensed under Apache 2.0. A small set of enterprise features is under Elastic 2.0, see LICENSING.md | Licensing FAQ