AI Fabric

AI Fabric is an intelligent distributed data management architecture that dynamically integrates heterogeneous data sources through AI, machine learning, and semantic knowledge graphs, enabling cross-platform virtualized data access and automated governance.

Key Features

Data Source Management

Quickly connect various multi-source heterogeneous data sources

Metadata Management

Complete metadata annotation and build a data asset catalog through metadata collection, semantic understanding, and metadata lineage analysis

Data Virtualization

Provide a unified virtualized data access layer for cross-database querying and NoETL synchronization

Data Task Management

Automatically orchestrate ETL and stream processing tasks while dynamically optimizing query performance and workflows

Data Permissions

Support row-level access control and define data access rules with AI assistance

Security Audit

Analyze slow query logs and support AI-driven risk behavior analysis

Core Capabilities

Rapid connectivity without physical extraction, enabling fast integration

Integration of all data types, including structured and unstructured data

Proactive metadata exploration with automatic collection and active updates

Intelligent metadata understanding using AI to identify metadata and analyze lineage relationships, forming a standardized and searchable data asset catalog

Cross-database querying and synchronization through a unified approach

AI-driven risk behavior analysis leveraging multimodal perception and deep learning to identify anomalies in real time and trigger proactive intervention

Application Scenarios

Fast integration of historical data during legacy-to-new system migration

High-availability solutions for business system data synchronization

Data asset inventory and security permission management solutions

Unified data interface integration solutions

Unified direct data reporting solutions