matrixorigin / matrixone

Docs || Official Website English || 简体中文 Connect with us: Contents ======== • What is MatrixOne • Get Started in 60 Seconds • Tutorials & Demos • Installation & Deployment • Architecture • Python SDK • Contributing • License What is MatrixOne? **MatrixOne is the industry's first database to bring Git-style version control to data**, combined with MySQL compatibility, AI-native capabilities, and cloud-native architecture. At its core, MatrixOne is a **HTAP (Hybrid Transactional/Analytical Processing) database** with a hyper-converged **HSTAP engine** that seamlessly handles transactional (OLTP), analytical (OLAP), full-text search, and vector search workloads in a single unified system—no data movement, no ETL, no compromises. 🎬 **Git for Data - The Game Changer** Just as Git revolutionized code management, MatrixOne revolutionizes data management. **Manage your database like code:** • **📸 Instant Snapshots** - Zero-copy snapshots in milliseconds, no storage explosion • **⏰ Time Travel** - Query data as it existed at any point in history • **🔀 Branch & Merge** - Test migrations and transformations in isolated branches • **↩️ Instant Rollback** - Restore to any previous state without full backups • **🔍 Complete Audit Trail** - Track every data change with immutable history **Why it matters:** Data mistakes are expensive. Git for Data gives you the safety net and flexibility developers have enjoyed with Git—now for your most critical asset: your data. --- 🎯 **Built for the AI Era** **🗄️ MySQL-Compatible** Drop-in replacement for MySQL. Use existing tools, ORMs, and applications without code changes. Seamless migration path. **🤖 AI-Native** Built-in vector search (IVF/HNSW) and full-text search. Build RAG apps and semantic search directly—no external vector databases needed. **☁️ Cloud-Native** Storage-compute separation. Deploy anywhere. Elastic scaling. Kubernetes-native. Zero-downtime operations. --- 🚀 **One Database for Everything** **The typical modern data stack:** 🗄️ MySQL for transactions → 📊 ClickHouse for analytics → 🔍 Elasticsearch for search → 🤖 Pinecone for AI **The problem:** 4 databases · Multiple ETL jobs · Hours of data lag · Sync nightmares **MatrixOne replaces all of them:** 🎯 **One database** with native OLTP, OLAP, full-text search, and vector search. Real-time. ACID compliant. No ETL. ⚡️ Get Started in 60 Seconds 1️⃣ Launch MatrixOne 2️⃣ Create Database 3️⃣ Connect & Query **Install Python SDK:** **Vector search:** **Fulltext Search:** **That's it!** 🎉 You're now running a production-ready database with Git-like snapshots, vector search, and full ACID compliance. > 💡 **Want more control?** Check out the Installation & Deployment section below for production-grade installation options. 📖 **Python SDK Documentation →** 📚 Tutorials & Demos Ready to dive deeper? Explore our comprehensive collection of hands-on tutorials and real-world demos: 🎯 Getting Started Tutorials | Tutorial | Language/Framework | Description | |----------|-------------------|-------------| | Java CRUD Demo | Java | Java application development | | SpringBoot and JPA CRUD Demo | Java | SpringBoot with Hibernate/JPA | | PyMySQL CRUD Demo | Python | Basic database operations with Python | | SQLAlchemy CRUD Demo | Python | Python with SQLAlchemy ORM | | Django CRUD Demo | Python | Django web framework | | Golang CRUD Demo | Go | Go application development | | Gorm CRUD Demo | Go | Go with Gorm ORM | | C# CRUD Demo | C# | .NET application development | | TypeScript CRUD Demo | TypeScript | TypeScript application development | 🚀 Advanced Features Tutorials | Tutorial | Use Case | Related MatrixOne Features | |----------|----------|---------------------------| | Pinecone-Compatible Vector Search | AI & Search | vector search, Pinecone-compatible API | | IVF Index Health Monitoring | AI & Search | vector search, IVF index | | HNSW Vector Index | AI & Search | vector search, HNSW index | | Fulltext Natural Search | AI & Search | fulltext search, natural language | | Fulltext Boolean Search | AI & Search | fulltext search, boolean operators | | Fulltext JSON Search | AI & Search | fulltext search, JSON data | | Hybrid Search | AI & Search | hybrid search, vector + fulltext + SQL | | RAG Application Demo | AI & Search | RAG, vector search, fulltext search | | Picture(Text)-to-Picture Search | AI & Search | multimodal search, image similarity | | Dify Integration Demo | AI & Search | AI platform integration | | HTAP Application Demo | Performance | HTAP, real-time analytics | | Instant Clone for Multi-Team Development | Performance | instant clone, Git for Data | | Safe Production Upgrade with Instant Rollback | Performance | snapshot, rollback, Git for Data | 📖 **View All Tutorials →** 🛠️ Installation & Deployment MatrixOne supports multiple installation methods. Choose the one that best fits your needs: 🐳 Local Multi-CN Development Run a complete distributed cluster locally with multiple CN nodes, load balancing, and easy configuration management. 📖 **Complete Development Guide →** - Comprehensive guide covering standalone setup, multi-CN clusters, monitoring, metrics, configuration, and all commands 🎯 Using mo_ctl Tool (Recommended for Production) One-command deployment and lifecycle management with the official mo_ctl tool. Handles installation, upgrades, backups, and health monitoring automatically. 📖 **Complete mo_ctl Installation Guide →** ⚙️ Building from Source Build MatrixOne from source for development, customization, or contributing. Requires Go 1.22, GCC/Clang, Git, and Make. 📖 **Complete Build from Source Guide →** 🐳 Other Methods Docker standalone, Kubernetes, binary packages, and more deployment options. 📖 **All Installation Options →** 🔎 Architecture MatrixOne's architecture is as below: For more details, you can checkout MatrixOne Architecture Design. 🐍 Python SDK MatrixOne provides a **comprehens…