matrixorigin/matrixone

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

What it solves

MatrixOne addresses the complexity of the modern data stack, where organizations typically juggle multiple databases (e.g., MySQL for transactions, ClickHouse for analytics, Elasticsearch for search, and Pinecone for AI). This fragmentation leads to expensive ETL jobs, data lag, and synchronization nightmares. MatrixOne consolidates these into a single system that handles transactional (OLTP), analytical (OLAP), full-text, and vector search workloads without requiring data movement.

How it works

It utilizes a hyper-converged HSTAP engine and a cloud-native architecture with storage-compute separation. The system is MySQL-compatible, allowing it to act as a drop-in replacement for existing MySQL setups. A standout feature is its "Git for Data" capability, which implements version control for databases, enabling zero-copy snapshots, time travel queries, branching, merging, and instant rollbacks.

Who it’s for

Developers and data engineers who need a unified database for AI-native applications (like RAG), real-time analytics, and transactional workloads, as well as those who want the safety and flexibility of Git-style versioning for their production data.

Highlights

  • Git-style Version Control: Supports instant snapshots, time travel, and branching/merging for data management.
  • AI-Native: Built-in vector search (IVF/HNSW) and full-text search for building RAG apps without external vector DBs.
  • Unified Engine: A single HTAP database replacing the need for separate OLTP, OLAP, and search engines.
  • MySQL Compatible: Works with existing MySQL tools, ORMs, and applications.
  • Cloud-Native: Kubernetes-native with elastic scaling and storage-compute separation.