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GeezerVison is showing docs.databend.com — Overview | Databend

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
Recommended

Fully-managed serverless data warehouse. Zero infrastructure.

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

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

DeployYour Infra
ControlYour Data
SupportEnterprise Support
Install Locally →

Connect to Databend

Connect to Databend in minutes.
Developer Resources →
BendSQL
DBeaver
Java
Golang
Python
Node.js
Rust
MCP Server
MCP Client

Load Data into Databend

Bulk import into Databend, multiple formats.
Know More →
Kafka
Kafka(Integration)
dbt
Airbyte
Flink CDC
Addax
Addax
DataX
Debezium
Tapdata
Vector
MySQL
PostgreSQL
Amazon S3

AI & BI & Visualization & Notebooks

Plug into popular BI tools and notebooks.
All Tools →
Deepnote
Jupyter
Metabase
Grafana
Redash
Superset
Tableau
MindsDB

Continuous Data Pipelines

Automate continuous ingestion into Databend.
Know More →
Real-Time CDC Ingestion
Automated Data Pipelines

Additional Information

AI Capabilities
Security
Contact Support
Use Cases
Changelog
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