3 repository-uri
Mechanisms for wrapping external API endpoints as virtual database tables to enable standard SQL access.
Distinct from External API Integrations: Candidates focus on general API integration or file loading; this is specifically about mapping APIs to relational tables.
Explore 3 awesome GitHub repositories matching data & databases · API to SQL Mapping. Refine with filters or upvote what's useful.
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
Maps external service data to virtual database tables using a foreign data wrapper for standard SQL access.
SpiceDB is a distributed permission store and relationship-based access control system. It provides a scalable database for storing and querying fine-grained authorization relationships, implementing a consistency model inspired by Google Zanzibar to manage access rights across large-scale applications. The system uses a dedicated schema language to define the rules and logic governing how relationships translate into permissions independently of application code. It functions as a pluggable authorization engine that persists relationship tuples in external relational databases such as Postgr
Maps permissions to virtual tables to enable standard SQL queries against access control data.
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Maps external data sources to virtual tables to enable standard SQL queries against remote datasets.