2 repositorios
Mechanisms that link SQL engines, data processing frameworks, and databases to a shared table format.
Distinguishing note: Candidates refer to UI frameworks or build-time linking, not the runtime integration of SQL/processing engines with tables.
Explore 2 awesome GitHub repositories matching data & databases · Compute Engine Integrations. Refine with filters or upvote what's useful.
Delta is a lakehouse table format that brings ACID transactions and data warehouse consistency to large scale data lakes on cloud object storage. It serves as an ACID transaction manager, coordinating atomic commits and serializable isolation for concurrent reads and writes across distributed compute engines. The project provides a multi-engine interoperability layer that uses format translation to allow diverse SQL engines and processing frameworks to read and write the same tables. It functions as a data versioning system, utilizing a transaction log to enable time travel, historical snapsh
Links SQL engines, data processing frameworks, and databases to read from or write to existing tables.
Gravitino is a federated metadata lake and unified data catalog designed to manage tables, files, and AI models across diverse data sources and cloud storage. It serves as a centralized interface for governing schemas, access controls, and tagging across relational databases, messaging queues, and object stores. The project distinguishes itself by unifying the management of AI assets, such as machine learning models and their version lineages, alongside traditional tabular data. It also implements the Iceberg REST specification to provide a standardized metadata server and proxy for lakehouse
Connects centralized metadata to various processing engines to enable unified data access.