Databend is an open-source, elastic, and workload-aware cloud data warehouse built in Rust, offering a cost-effective alternative to Snowflake. It's designed for complex analysis of the world's largest datasets.
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Cloud-Friendly: Seamlessly integrates with various cloud storages like AWS S3, Azure Blob, Google Cloud, and more.
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High Performance: Built in Rust, utilizing SIMD and vectorized processing for rapid analytics. See ClickBench.
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Cost-Efficient Elasticity: Innovative design for separate scaling of storage and computation, optimizing both costs and performance.
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Easy Data Management: Integrated data preprocessing during ingestion eliminates the need for external ETL tools.
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Data Version Control: Offers Git-like multi-version storage, enabling easy data querying, cloning, and reverting from any point in time.
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Rich Data Support: Handles diverse data formats and types, including JSON, CSV, Parquet, ARRAY, TUPLE, MAP, and JSON.
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AI-Enhanced Analytics: Offers advanced analytics capabilities with integrated AI Functions.
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Community-Driven: Benefit from a friendly, growing community that offers an easy-to-use platform for all your cloud analytics.
The fastest way to try Databend, Databend Cloud
Prepare the image (once) from Docker Hub (this will download about 170 MB data):
docker pull datafuselabs/databendTo run Databend quickly:
docker run --net=host datafuselabs/databendDeploying Databend
Connecting to Databend
Loading Data into Databend
Loading Data Tools with Databend
Visualize Tools with Databend
Managing Users
Managing Databases
Managing Tables
Managing Views
AI Functions
Data Governance
Securing Databend
Databend thrives on community contributions! Whether it's through ideas, code, or documentation, every effort helps in enhancing our project. As a token of our appreciation, once your code is merged, your name will be eternally preserved in the system.contributors table.
Here are some resources to help you get started:
For guidance on using Databend, we recommend starting with the official documentation. If you need further assistance, explore the following community channels:
- Slack (For live discussion with the Community)
- GitHub (Feature/Bug reports, Contributions)
- Twitter (Get the news fast)
- I'm feeling lucky (Pick up a good first issue now!)
Stay updated with Databend's development journey. Here are our roadmap milestones:
Databend is released under a combination of two licenses: the Apache License 2.0 and the Elastic License 2.0.
When contributing to Databend, you can find the relevant license header in each file.
For more information, see the LICENSE file and Licensing FAQs.
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Inspiration: Databend's design draws inspiration from industry leaders ClickHouse and Snowflake.
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Computing Model: Our computing foundation is built upon Arrow2, a faster and more secure rendition of the Apache Arrow Columnar Format.
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Documentation Hosting: The Databend documentation website proudly runs on Vercel.