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 often have to maintain separate databases for transactions (MySQL), analytics (ClickHouse), search (Elasticsearch), and AI/vector storage (Pinecone). This fragmentation leads to expensive ETL (Extract, Transform, Load) jobs, data lag, and synchronization nightmares.

How it works

It is a Hybrid Transactional/Analytical Processing (HTAP) database featuring a hyper-converged HSTAP engine. This allows it to handle OLTP, OLAP, full-text search, and vector search within a single system. It also introduces "Git for Data," implementing version control for databases through zero-copy snapshots, time travel queries, branching, and merging, allowing data to be managed with the same flexibility as source code.

Who it’s for

Developers and data engineers who need a MySQL-compatible database that can scale elastically in the cloud and support AI-native workloads (like RAG applications) without managing multiple disparate data stores.

Highlights

  • Git-style Version Control: Supports instant snapshots, time travel, and branching/merging for data.
  • AI-Native: Built-in vector search (IVF/HNSW) and full-text search for semantic search and RAG.
  • Unified Engine: Combines transactional, analytical, and search capabilities in one ACID-compliant system.
  • MySQL Compatible: Acts as a drop-in replacement for MySQL, supporting existing tools and ORMs.
  • Cloud-Native: Features storage-compute separation and Kubernetes-native deployment.

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