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Overview

Welcome to the Databend (pronounced as /ˈdeɪtəˌbɛnd/) documentation.

Databend is an open-source, cloud-native data warehouse built in Rust and fully based on object storage, evolved from a single analytics engine into a unified multimodal database. With a unified optimizer, compute, and storage engine, it supports BI Analytics, AI Vectors, Full-Text Search, and Geospatial Analysis on one platform through Snowflake-compatible SQL, and enables real-time data ingestion, transformation, and analysis via Stream + Task.

Product Features

Unified Engine

Analytics, vector, search, and geo share one optimizer and runtime.

Unified Data

Structured, semi-structured, unstructured, and vector data share object storage.

Analytics Native

ANSI SQL, windowing, incremental aggregates, and streaming power BI.

Vector Native

Embeddings, vector indexes, and semantic retrieval all run in SQL.

Search Native

Full-text search and inverted indexes fuel hybrid retrieval.

Geo Native

Geospatial indexes and functions power map and location services.

Getting Started

Choose Cloud (managed) or Enterprise (self-hosted).
Databend Cloud logo
Databend Cloud
Recommended

Fully-managed serverless data warehouse. Zero infrastructure.

<500msCold Start
$200Free Credits
SOC 2Type II
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Databend Enterprise
Enterprise

Self-hosted on the open-source core, with enterprise support.

DeployYour Infra
ControlYour Data
SupportEnterprise Support

Connect to Databend

Connect to Databend in minutes.
Developer Resources

Load Data into Databend

Bulk import into Databend, multiple formats.
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AI & BI & Visualization & Notebooks

Plug into popular BI tools and notebooks.
All Tools

Continuous Data Pipelines

Automate continuous ingestion into Databend.
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