A Next-Generation AI-Driven Hyper
Converged Database
Flexible Deployment, Professional Support, Grow Together
Free Trial
Hyperconverged Innovative Architecture
MatrixOne is a next-generation hyperconverged, heterogeneous, and cloud-native database management system. Its newly designed unified distributed database engine enables flexible support for diverse workloads such as OLTP, OLAP, and Streaming in data management and applications. Users can seamlessly deploy and run MatrixOne on public clouds, self-built database centers, and edge nodes
Simplified & Efficient
Highly Reliable High-Performance Data Writes
Transaction-supported data writes
Linearly scalable write throughput
Cost-Effective Data Storage
Linearly scalable write throughput
Cold/hot data separation lowers costs
Blazing-Fast Query Performance
Comprehensive SQL capabilities
Optimized for both point queries and batch processing
Real-Time In-Database ETL (No Export/Import Needed)
Built-in streaming engine for seamless table access
Real-time data updates with instant visibility
Flexible & Scalable
Fully Isolated TP & AP Workload Resources
Complete isolation of workloads and data between containers
Configurable data freshness to ensure TP/AP independence
Flexible Adjustment & Scaling of TP & AP Resource Allocation
Independent scaling for TP & AP workloads
On-demand resource allocation for different loads
High Availability & Strong Scalability in Distributed Databases
Raft consensus protocol ensures high availability
Storage-compute separation enables elastic scaling
MySQL Compatibility & Mainstream IDE Support
MySQL client & syntax support for easy migration
Compatibility with mainstream ORMs for low development barriers
Multimodal Data Management
Multimodal Data Management
Supports text, images, audio, video, and other multimodal data types, along with external file management. Enables unified storage and querying for structured and semi-structured data.
Hybrid Vector & Text Retrieval
Hybrid Vector & Text Retrieval
Built-in vector indexing and full-text search enable hybrid text-vector queries, delivering precise multimodal search capabilities for generative AI applications.
Large Model Integration
Large Model Integration
Supports Python UDFs and GPU acceleration, facilitating large model inference and RAG applications for efficient AI data processing.
Hybrid Workload Support
Hybrid Workload Support
Combines OLTP and OLAP capabilities with storage-compute separation, read-write splitting, and workload isolation to handle real-time queries and batch analytics.
Cloud-Native Architecture & Multi-Cloud Deployment
Cloud-Native Architecture & Multi-Cloud Deployment
Leverages cloud scalability with storage-compute separation and independent horizontal scaling. Adapts to public, private, and hybrid clouds, supporting standalone, containerized, and Kubernetes deployments for cross-cloud and edge-cloud scenarios.
Try MatrixOne Today
Unlock Your AI Data Journey
Community Edition
Permanently free with cutting-edge features
Rapid iteration for validation & growth
Hundreds of developers driving contributions
Enterprise Edition
Professional technical support & business collaboration
Customized solutions & continuous value-added services
Expert support & rapid incident response