Awesome GitHub RepositoriesCustom SQL Functions

TextQL is a command line SQL query engine designed to execute relational queries directly against structured text files, such as CSV and TSV, without requiring a database import. It functions as a relational text file analyzer and a CSV processor that treats plain text files as virtual tables for filtering, joining, and aggregating data. The tool is built as a pipe-compatible data transformation utility, allowing it to process data from standard input and output formatted datasets. It enables relational joins across multiple files or directories within a single query to analyze relationships

This project is a Go language driver for the SQLite database. It provides a relational database interface and a Cgo wrapper that connects Go applications to SQLite for persistent local data storage and query execution. The implementation serves as a provider for JSON document storage and local full-text search. It enables the creation, querying, and modification of JSON data and the implementation of searchable indexes for large text datasets directly within the database. The driver supports standard SQL query execution for both file-based and in-memory storage. It includes capabilities for

GRDB.swift is a comprehensive SQLite toolkit and object-relational mapper for Swift. It provides a database wrapper that handles local data persistence, connection management, and encrypted file storage for Apple platforms. The library features a dedicated observation framework that tracks database changes to automatically synchronize the application state and user interface in real time. It distinguishes itself with a type-safe query builder and a protocol-based mapping system that converts database rows into structured Swift objects. The toolkit covers a broad range of administrative and o

AlaSQL is a JavaScript SQL database engine that allows for the filtering, grouping, and joining of in-memory object arrays and JSON data. It functions as an in-memory SQL database and client-side data processor, enabling the execution of SQL statements against JavaScript arrays and external data sources in both browser and server environments. The project serves as a universal data query tool capable of performing relational joins across diverse sources, such as merging Google Spreadsheets, SQLite files, and remote APIs into a single result set. It also acts as an IndexedDB SQL wrapper, allow

SQLiteStudio is an open-source graphical tool for browsing, editing, and managing SQLite database files. It combines a full-featured SQL editor with syntax highlighting, a visual database schema designer for creating entity-relationship diagrams, and a plugin-based extensibility platform that allows adding custom functionality through C/C++, JavaScript, Tcl, or Python. The application distinguishes itself through its multi-language scripting engine, which embeds JavaScript, Tcl, and Python interpreters to enable user-defined functions and scripts within SQL queries. It supports encrypted data

Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer

Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac

Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption. The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we

Readyset is a transparent caching proxy for PostgreSQL and MySQL that sits between an application and its database, intercepting SQL queries and serving cached results from memory. It automatically caches query results on first execution and keeps those caches consistent by consuming the database’s replication stream in real time, enabling faster repeated reads without application code changes. The proxy also supports caching advanced SQL functions such as window functions, bucket functions, and locale-aware collation sorting, and exposes an interface that allows AI agents to inspect proxied q

Arroyo is a high-performance stream processing platform built in Rust. It executes continuous SQL queries on streaming data with event-time semantics, enabling accurate windowed aggregations, joins, and stateful computations on unbounded event streams. The platform uses native Rust execution for high throughput and low latency, with periodic checkpointing for exactly-once fault tolerance and horizontal scaling across distributed workers. The system integrates deeply with Kafka for reading and writing topics with exactly-once delivery and supports change data capture (CDC) from MySQL and Postg

H2 is a JDBC-compliant relational database management system written in Java. It functions as an embeddable SQL database that can run directly within an application process to remove network latency, or as an in-memory database for high-performance volatile storage. It also includes a web-based console for executing SQL commands and administering schemas. The system is characterized by its flexible deployment modes, including a standalone server mode for remote TCP/IP access and a mixed mode for simultaneous local and remote connectivity. It features a dialect emulation layer and compatibilit

sqlean est une collection de bibliothèques d'extension SQLite implémentées sous forme de bibliothèques partagées basées sur C. Elle fournit une suite de fonctions scalaires et de fonctions renvoyant des tables supplémentaires qui étendent les capacités natives du moteur de base de données SQLite. Le projet fournit des ensembles d'outils spécialisés pour la cryptographie, les mathématiques avancées, le réseau et l'accès au système de fichiers. Ceux-ci incluent le hachage et l'encodage binaire, l'analyse statistique, la validation d'adresses IP et la capacité de mapper des fichiers CSV ou des chemins de système de fichiers en tant que tables virtuelles. La bibliothèque inclut également des outils complets de traitement de texte tels que les expressions régulières, la correspondance floue (fuzzy matching) et la manipulation de chaînes compatible Unicode. Des capacités supplémentaires couvrent la gestion de haute précision des dates et heures et la génération d'identifiants uniques.

Velox est un moteur d'exécution de requêtes C++ haute performance et une bibliothèque de traitement de données colonnaires. Il sert de framework composable pour implémenter des moteurs de requêtes analytiques, fournissant un évaluateur d'expressions vectorisées et une boîte à outils pour les systèmes de gestion de données. Le projet se distingue par son utilisation de l'exécution colonnaire vectorisée et de l'allocation mémoire basée sur des arènes pour traiter des jeux de données à grande échelle. Il propose des optimisations spécialisées telles que la mise en cache des tables de jointure broadcast, le push-down de filtres dynamiques et l'encodage par dictionnaire pour réduire la surcharge mémoire et accélérer les lectures analytiques. Le moteur couvre un large éventail de capacités analytiques, incluant l'implémentation de jointures hash, merge et semi, ainsi que l'agrégation parallèle multi-étapes et le calcul de fonctions de fenêtre. Il fournit des primitives pour le stockage colonnaire en mémoire, le décodage de données Parquet et l'intégration avec le stockage cloud. L'extensibilité est assurée par un système d'enregistrement de fonctions pour des fonctions scalaires et d'agrégation personnalisées, avec des bindings de haut niveau disponibles pour connecter la logique C++ à Python.

Rusqlite is an embedded database interface and relational database driver that provides a client library for interacting with SQLite. It functions as an SQL query wrapper, enabling the management of local file-based or in-memory databases through a safe interface. The library allows for the extension of native database capabilities by implementing custom scalar functions, collations, and virtual tables. It also supports the embedding of the database engine directly into the application binary to remove external library dependencies. The project covers a broad range of capabilities including

Dinky is a real-time data platform for developing, deploying, and operating streaming applications based on Apache Flink. It functions as a SQL streaming IDE and a real-time data pipeline orchestrator, providing a web-based environment for writing and verifying queries with integrated logic plan visualization and lineage tracking. The platform acts as a distributed cluster manager, allowing the registration, monitoring, and administration of multiple processing clusters from a centralized interface. It also serves as a change data capture integration tool, synchronizing real-time database cha

Drift is a type-safe SQL persistence library and relational mapper that provides a structured way to map database tables to classes and execute SQL queries with build-time validation. It functions as a type-safe query builder and a wrapper for SQLite and PostgreSQL, eliminating manual result set parsing by binding query outputs to native objects. The project distinguishes itself through a build-time code generation system that produces type-safe APIs and validates raw SQL statements against database versions before execution. It features reactive query streaming, which transforms SQL queries