MatrixOne
Hyper-Converged Cloud-Native Database
Combines OLTP, OLAP, vector search, and structured/unstructured data in a unified enterprise-grade database.
MatrixGenesis
AI Model Repository
Centralizes management of diverse AI models, streamlining deployment and maintenance for intelligent applications.
MatrixPipeline
Multimodal Data ETL Pipeline
Proprietary connectors unify multimodal data ingestion/transformation with visual orchestration for efficient processing.
Multiple data connectors integrate various heterogeneous systems and data sources, supporting structured, semi-structured, and unstructured data ingestion.
Enables automated ingestion of both historical and incremental data, ensuring data comprehensiveness and real-time capabilities.
Supports parsing and structuring extraction of various formats of multimodal data, such as text, images, audio, and videos.
Enables content parsing of various image, audio, and video formats, with customizable model options.
Includes pre-built operators for data parsing, cleansing, and enhancement across multiple scenarios, while supporting custom user-defined nodes.
Features DAG-based visual workflow configuration and orchestration for rapid pipeline setup.
Provides granular management of user roles, functional permissions, and data access privileges.
Allows enterprises to create multiple workspace tenants, each with isolated storage and computing resources.