Supports text, images, audio, video, and external file management, enabling unified storage and query for structured and semi-structured data.
Built-in vector indexing and full-text search enable hybrid text-vector queries, delivering precise multimodal search for generative AI applications.
Supports Python UDFs and GPU acceleration, easily powering larger model analysis and RAG in different scenarios, delivering efficient data support for AI applications.
Handles OLTP and OLAP workloads with compute-storage decoupling, read-write separation, and workload isolation for real-time queries and batch analytics.
Leverages cloud scalability with decoupled storage/compute and horizontal scaling. Cloud-native architecture supports public/private/hybrid clouds, standalone, containerized, and Kubernetes cluster deployments for cross-cloud and edge-cloud scenarios.
MatrixOne is a revolutionary hyper-converged cloud & edge native database management system (DBMS) that supports transactional, analytical, and streaming workloads with a simplified and distributed database engine. It deploys and operates seamlessly on heterogeneous infrastructures, such as public and private clouds, data centers, edge servers, and so on.