cross-database

Everything that makes working with databases easier

A simple and lightweight SQL client desktop with cross database and platform support.

Dadbod Grip turns database tables into editable Vim buffers, with schema browsing, staged mutations, generated SQL, relationship navigation, and cross-database federation inside Neovim.

A list of Presto/Trino resources

A same-origin storage(IndexedDB/WebSQL/localStorage) for cross-domain access

Replication PostreSQL to Elasticsearch via Logical replication slots

An adapter-based and storage independent ORM/ODM for PHP

Simple and flexible database wrapper for Erlang

A small cross-database tool for building excel documents (reports) based on data from database that extacts via View or Stored Procedures with parametres, ordering e.t.c.

A portable, cross-platform, cross-database, lightweight, debuggable, replication-aware, migration-friendly, transaction-capable, data access layer (DAL) for PHP.

Comprehensive, multi-source skincare and cosmetic formulation database unifying 19,846 products, 43,097 canonical INCI compounds, 5,994 brands, 319,989 composition mappings

Cross-DbContext LINQ queries for Entity Framework Core: join entities from different DbContexts (even different databases or providers) in a single LINQ query, with per-context SQL pushdown and semi-join optimization.

Cross database engine ADO.NET tools (for create, delete, insert data, e.t.c.) and extension for create DB and init via set of sql scripts mainly for prepare Unit tests infrastructure

Redmine is a flexible project management web application written using Ruby on Rails framework

Move data between SQL and NoSQL databases with a single CLI command.

A simple and lightweight SQL client with cross database and platform support.

The Verdú Method — Native Cross-DB Queries in Firebird 2.5

强大的跨数据库ODM库，支持SQLite、PostgreSQL、MySQL、MongoDB的统一接口

Personal DE infrastructure SDK — Unified multi-database access, typed configuration, SQL injection-safe templating, and embedded data quality checks.

Multi-backend data layer for Python asyncio: pure JSON schemas + MongoDB-style GQL tree queries on MongoDB, MySQL, SQLite and PostgreSQL, with RBAC, computed columns and soft-delete.