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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
RecommendedFully-managed serverless data warehouse. Zero infrastructure.
<500msCold Start
$200Free Credits
SOC 2Type II
Databend Enterprise
EnterpriseSelf-hosted on the open-source core, with enterprise support.
DeployYour Infra
ControlYour Data
SupportEnterprise Support
Load Data into Databend
Bulk import into Databend, multiple formats.
Know More →AI & BI & Visualization & Notebooks
Plug into popular BI tools and notebooks.
All Tools →Continuous Data Pipelines
Automate continuous ingestion into Databend.
Know More →Join our growing community
Or simply contact us directly