3 مستودعات
Capabilities for fetching and combining data from multiple disparate data sources in a single request.
Distinct from Remote Query Execution: None of the candidates cover the specific act of fetching from heterogeneous sources like a DB and remote schema simultaneously.
Explore 3 awesome GitHub repositories matching data & databases · Cross-Source Query Execution. Refine with filters or upvote what's useful.
graphql-engine is an automated GraphQL API engine that transforms database tables and relationships into a queryable GraphQL schema. It functions as a federation gateway and mapper, instantly generating APIs with built-in filtering, pagination, and mutations from existing databases and remote schemas. The project distinguishes itself through a fine-grained access control layer that enforces row-level and field-level permissions. It further provides a real-time data subscription server that converts standard queries into live streams and a system for triggering event-driven webhooks and notifi
Allows fetching data from multiple different sources, such as a database and a remote schema, within a single request.
Steampipe is a cloud infrastructure query engine and API-to-SQL mapper that translates REST and GraphQL API responses into relational rows and columns. It allows for the retrieval and joining of real-time data from multiple cloud service providers using a relational database interface. The project functions as a PostgreSQL foreign data wrapper and an SQLite API extension, mapping external API endpoints to virtual tables. This enables the use of standard SQL to query live cloud services and aggregate data from different providers and service accounts into a single unified dataset. The system
Runs requests across multiple data sources simultaneously to reduce data retrieval latency.
This project is a plugin framework and agentic workflow library designed to connect large language models to professional toolstacks. It provides a system for integrating language models with external data warehouses, CRMs, and other enterprise software to retrieve and manipulate real-time business data. The framework enables the automation of specialized professional tasks through a file-based plugin definition system. It allows for the customization of domain expertise and plugin behavior to align with internal company processes, supported by an enterprise data connector that links models t
Fetches and combines data from multiple disparate enterprise sources into a single coherent answer.