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𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics.https://databend.com

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databendlabs/databend

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The open-source, on-premise alternative to Snowflake

databend

🐋 Introduction

Databend, built in Rust, is an open-source cloud data warehouse that serves as a cost-effectivealternative to Snowflake. With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.

Production-Proven Scale:

  • 🤝Enterprise Adoption: Trusted by over50 organizations processing more than100 million queries daily
  • 🗄️Massive Scale: Successfully managing over800 petabytes of analytical data

⚡ Performance

Databend vs. Snowflake

Databend vs. Snowflake

🚀 Why Databend

  • Full Control: Deploy oncloud oron-prem to suit your needs.

  • Blazing-Fast Performance: Built withRust for high-speed query execution. 👉ClickBench

  • Cost-Effective: Scalable architecture that boostsperformance and reducescosts. 👉TPC-H

  • AI-Enhanced Analytics: Leverage built-inAI Functions for smarter data insights.

  • Simplified ETL: Directdata ingestion without the need for external ETL tools. 👉Data Loading

  • Real-Time Data Updates: Keep your analyticsup-to-date with real-time incremental data updates. 👉Stream

  • Advanced Indexing: Boost query performance withVirtual Column,Aggregating Index, andFull-Text Index.

  • ACID Compliance + Version Control: Ensure reliabletransactions with full ACID compliance and Git-like versioning.

  • Schema Flexibility: Effortlessly handlesemi-structured data with the flexibleVARIANT data type.

  • Community-Driven Growth:Open-source and continuously evolving with contributions from a global community.

📐 Architecture

Databend Architecture

🚀 Try Databend

1. Databend Serverless Cloud

The fastest way to try Databend,Databend Cloud

2. Install Databend from Docker

Prepare the image (once) from Docker Hub (this will download about 170 MB data):

docker pull datafuselabs/databend

To run Databend quickly:

docker run --net=host  datafuselabs/databend

🚀 Getting Started

Connecting to Databend
Data Import and Export
Loading Data From Other Databases
Querying Semi-structured Data
Visualize Tools with Databend
Managing Users
Managing Databases
Managing Tables
Managing Data
Managing Views
AI Functions
Data Management
Accessing Data Lake
Security
Performance

🤝 Contributing

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 thesystem.contributors table.

Here are some resources to help you get started:

👥 Community

For guidance on using Databend, we recommend starting with the official documentation. If you need further assistance, explore the following community channels:

🛣️ Roadmap

Stay updated with Databend's development journey. Here are our roadmap milestones:

📜 License

Databend is released under a combination of two licenses: theApache License 2.0 and theElastic License 2.0.

When contributing to Databend, you can find the relevant license header in each file.

For more information, see theLICENSE file andLicensing FAQs.

🙏 Acknowledgement

About

𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics.https://databend.com

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