2 个仓库
Ingests technical and operational metadata from cloud-based data, machine learning, and streaming services.
Distinct from Cloud Synchronization Services: Focuses on metadata ingestion from cloud services rather than general file synchronization.
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DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
Ingests technical and operational metadata from cloud-based data, machine learning, and streaming services to provide a unified view of the entire data estate.
CloudQuery is a cloud infrastructure ETL tool and multi-cloud data pipeline designed to collect, synchronize, and normalize resource metadata from various cloud providers and SaaS platforms. It functions as a centralized asset inventory manager and security posture manager, extracting configuration and state data into relational databases, data lakes, or data warehouses. The system distinguishes itself by transforming complex, nested cloud API responses into flat relational tables, enabling the use of standard SQL for asset querying and analysis. It employs a modular plugin system for data ex
Ingests technical and operational metadata from cloud services into databases and data lakes for long-term storage.