MatrixOneCloud-Native Hyper-Converged Database
Git for Data
The industry's first database to bring Git-style version control to data. Unify transactional, analytical, vector, and full-text workloads in a single system — MySQL compatible, AI-native, cloud-native.
Powering Every Data Application
Ingest multimodal data, AI-driven processing, run hybrid workloads
MatrixOne
One Database for Everything
Say goodbye to 4 databases, multiple ETL jobs, hours of data lag, and sync nightmares
MatrixOneManage Data Like Code
The first database with Git for Data — every data change is traceable, reversible, and collaborative
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
Built for the AI Era
Built-in vector search, full-text search, and Agent data sandbox — no external vector databases needed
Vector + Full-Text Hybrid Search
Built-in IVF/HNSW vector indexes and full-text search engine. Supports billions-scale vector retrieval, directly powering RAG applications and semantic search.
AI Agent Data Sandbox
Git for Data branching naturally provides isolated data environments for AI Agents — one branch per agent, no interference, safe merging.
Deep MOI AI Integration
As the core data engine of MatrixOne Intelligence, deeply integrated with MatrixPipeline, MatrixGenesis, and other AI components — providing a unified data foundation for enterprise AI applications.
from matrixone import Client
client = Client()
client.connect(database='demo')
# Vector search
query = [0.2, 0.3, 0.4, 0.25, 0.35]
results = client.query(
Article.title,
Article.embedding.l2_distance(query)
).filter(
Article.embedding.l2_distance(query) < 0.1
).execute()Key Features
Built for Consolidation, Scale, and Intelligence
Three-Layer Cloud-Native Architecture
Disaggregated storage-compute design — each layer scales independently
Compute Layer
- •CN Compute Nodes
- •Resource Group Isolation
- •Auto-Scaling
- •Hot Data Cache
Transaction Layer
- •TN Transaction Nodes
- •Raft Shared Log
- •Conflict Detection
- •HAKeeper
Storage Layer
- •S3 Object Storage
- •Unlimited Scaling
- •Hot/Cold Separation
- •Low Cost
Raft Shared Log
S3 Object Storage
Flexible Deployment Options
From single-node to distributed, from private cloud to public cloud
Standalone
Primary-replica architecture for small to medium workloads
Object Storage
Single node + S3 object storage, balancing simplicity and elasticity
K8s Distributed
Fully distributed deployment with unlimited horizontal scaling
Get Started with MatrixOne
Start your AI data journey today