sql

Find files with SQL-like queries

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Data Science Roadmap from A to Z

SQL Translator is a tool for converting natural language queries into SQL code using artificial intelligence. This project is 100% free and open source.

Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 15+ more databases like DuckDB, ClickHouse, Redis and Firestore. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.

OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems)

Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy in .Net for Insert Update Delete Read (CRUD), Truncate and SaveChanges operations on SQL Server, PostgreSQL, MySQL, SQLite, Oracle

Blazing-fast Data-Wrangling toolkit

Dinky is a real-time data development platform based on Apache Flink, enabling agile data development, deployment and operation.

Npgsql is the .NET data provider for PostgreSQL.

Interact with your SQL database, Natural Language to SQL using LLMs

Versioned database views for Rails

GitQL is a extensible SQL-like query language and SDK to perform queries on various data sources such .git files with supports of most of SQL features such as grouping, ordering and aggregation and window functions and allow customization like user-defined types and functions

Fluent migrations framework for .NET

Extensible SQL Lexer and Parser for Rust

Create full-fledged APIs for slowly moving datasets without writing a single line of code.

Token conscious database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.

SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird

GraphQL support for PostgreSQL

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.