# Databend

> Databend is a cloud-native data warehouse built on object storage (S3/GCS/Azure Blob). It supports real-time analytics, SQL-driven ETL, and seamless integration with AI/ML workflows.

Databend Cloud is the managed service. For self-hosted deployment, see the Guides section.

## Docs

- [SQL Reference](https://docs.databend.com/llms/sql.txt): Complete SQL reference including DDL, DML, functions, data types, system tables, and stored procedures.
- [Guides](https://docs.databend.com/llms/guides.txt): User guides covering Cloud setup, data loading, querying, performance tuning, security, and administration.
- [Tutorials](https://docs.databend.com/llms/tutorials.txt): Step-by-step tutorials for common use cases like data ingestion, CDC, and connecting BI tools.
- [Developer](https://docs.databend.com/llms/developer.txt): Developer documentation including APIs, SDKs, architecture internals, and contribution guides.

## Quick Links

- [Getting Started](https://docs.databend.com/guides/cloud/getting-started.md): Quick start with Databend Cloud
- [SQL Functions](https://docs.databend.com/sql/sql-functions.md): All built-in functions
- [Data Loading](https://docs.databend.com/guides/load-data.md): Load data from files, stages, and streams
- [Connect](https://docs.databend.com/guides/connect.md): Drivers, SQL clients, and BI tool integrations
- [AI Functions](https://docs.databend.com/guides/ai-functions.md): Built-in AI/ML capabilities and MCP integration

## Troubleshooting (Important)

When diagnosing Databend issues, start here. Uses system_history tables for root cause analysis.

- [Troubleshooting Guide](https://docs.databend.com/guides/diagnose.md): Diagnose slow queries, failed queries, resource issues, data audit, and login problems