51 repositorios
The process of running SQL statements and retrieving results as structured data.
Distinguishing note: Candidates focus on REST APIs or procedural dialects; a general SQL execution tag is needed for core DB functionality.
Explore 51 awesome GitHub repositories matching data & databases · SQL Query Execution. Refine with filters or upvote what's useful.
Chat2DB is an AI-powered SQL client and multi-database GUI manager designed for managing various relational and NoSQL database systems. It serves as a visual database management tool and a natural language to SQL interface, allowing users to convert plain text descriptions into executable and optimized queries. The platform distinguishes itself through automated business intelligence capabilities, which include the generation of real-time data visualization dashboards and AI-driven data analysis from spreadsheets. To ensure data privacy, it supports secure local AI deployment, enabling large
Runs SQL queries through a local runtime and returns results in JSON format for pipeline integration.
This project is a pure JavaScript database driver for Node.js that implements the native MySQL binary protocol. It serves as a comprehensive connector for managing persistent network links to MySQL servers, enabling applications to execute queries, manage transactions, and handle complex data operations without requiring external middleware. The driver distinguishes itself through its integrated support for connection pooling and distributed database routing. It maintains managed sets of reusable network sockets to optimize resource usage under high request volumes, while simultaneously provi
Executes SQL statements and retrieves structured results including metadata like affected row counts and generated IDs.
This project is a collection of educational resources and reference implementations for the Apache Flink stream processing framework. It provides a learning resource focused on mastering distributed stream processing through implementation guides, performance tuning tutorials, and practical examples. The repository features detailed walkthroughs for building real-time data pipelines using the DataStream and Table APIs. It includes specific integration examples for connecting Apache Flink with Kafka brokers and Elasticsearch indices, as well as reference implementations for real-time deduplica
Translates high-level SQL table and query definitions into an optimized graph of streaming operators for execution.
sql.js is a serverless, in-memory SQL database engine that ports SQLite to WebAssembly for use within a web browser. It provides a JavaScript interface to initialize relational databases, execute SQL queries, and manage structured data without requiring a backend server. The project enables the import and export of database states using typed arrays, allowing in-memory data to be persisted as files. It supports high-precision integer retrieval via BigInt and utilizes prepared statements to increase execution speed and security. The engine includes capabilities for client-side data management
Implements the core process of running SQL statements and retrieving structured data results.
Doctrine ORM is a PHP object-relational mapper that connects application objects to relational database tables. It uses the data mapper and identity map patterns to decouple the in-memory object model from the database schema, allowing developers to manage data persistence without writing manual SQL. The project features a dedicated object-oriented query language and programmatic builder for retrieving data based on entities rather than tables. It implements a unit-of-work system to track object changes during a request and synchronize them via atomic transactions. The capability surface inc
Allows execution of native SQL statements and maps the resulting row sets back into objects.
SQLite es un motor de base de datos relacional sin servidor y una biblioteca basada en C que almacena datos en un único archivo de disco local. Funciona como una base de datos SQL embebida, integrándose directamente en las aplicaciones sin necesidad de un proceso de servidor independiente. El motor incluye capacidades especializadas para la indexación de búsqueda de texto completo y consultas de datos espaciales utilizando estructuras R-Tree para rangos de coordenadas geográficas o geométricas. El sistema proporciona un amplio soporte para la manipulación de datos SQL, recuperación y reparación de bases de datos, y seguimiento de cambios para sincronizar modificaciones entre bases de datos. También cuenta con una interfaz basada en terminal para la gestión y configuración de la base de datos.
Executes SQL statements to manipulate and retrieve data from local files.
Highlight es una plataforma de observabilidad full-stack y sistema de monitoreo que agrega logs, errores y trazas distribuidas para proporcionar una vista unificada de la salud de la aplicación. Funciona como un sistema de trazado distribuido, un servicio de monitoreo de errores y una herramienta de reproducción de sesiones. La plataforma está disponible como un stack de monitoreo dockerizado para implementaciones autohospedadas en Linux. Se distingue por combinar la observabilidad del backend con un sistema de grabación visual que captura cambios en el modelo de objetos del documento y solicitudes de red para reproducir las interacciones del usuario. El sistema cubre varias áreas de capacidad central, incluyendo la gestión centralizada de logs con propiedades buscables, seguimiento de errores de aplicación con integración de mapas de origen para la desofuscación de trazas de pila y trazado de solicitudes distribuidas a través de microservicios. También incluye monitoreo de bases de datos mediante ejecución de consultas con nombre y análisis de consultas de búsqueda para recuperar métricas de rendimiento. La instalación se puede realizar mediante una implementación de monitoreo autohospedada usando Docker o mediante el aprovisionamiento de infraestructura en la nube.
Executes SQL statements to retrieve specific performance metrics and logs based on search queries.
Apache DataFusion is an extensible, columnar SQL query engine that runs embedded within a host application without requiring a separate server process. It processes data in columnar batches using Apache Arrow for memory-efficient analytics, and can scale analytic workloads across multiple nodes for parallel execution. The engine supports both SQL and DataFrame queries through a modular, streaming architecture that allows custom operators, data sources, functions, and optimizer rules. The engine distinguishes itself through its modular extension framework, which enables building custom query e
Runs SQL queries against data with a full query planner and columnar streaming engine.
better-sqlite3 is a high-performance SQLite3 client for Node.js that executes queries synchronously, returning results directly without callbacks or promises. It compiles as a native addon using N-API, binding directly to the SQLite3 C library for immediate query execution and zero-copy result serialization into native JavaScript objects. The library is optimized for Write-Ahead Logging (WAL) mode, enabling faster concurrent reads and writes in web applications. It provides durability level tuning through the synchronous pragma, allowing adjustments between FULL, NORMAL, and OFF modes to bala
Runs SQL statements synchronously in Node.js and returns results directly without callbacks or promises.
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
Provides a complete SQL engine to run statements against diverse data sources in the browser or server.
Records is a SQL database client designed for executing raw queries and managing result sets through a simplified interface. It provides a parameterized SQL executor to bind values to placeholders, ensuring safe data handling and preventing injection attacks, alongside a database transaction manager for grouping operations into atomic units. The project includes a dedicated command-line interface for running database statements and exporting query results directly to local files. This tooling allows for the conversion of SQL result sets into multiple serialization formats, including CSV, JSON
Runs raw SQL strings or files and returns results as iterable rows with flexible attribute access.
Records es un conjunto de herramientas que proporciona una biblioteca cliente de base de datos SQL, un gestor de transacciones y utilidades para acceso por línea de comandos y exportación de datos. Funciona como un wrapper de capa fina que ejecuta consultas SQL crudas contra bases de datos relacionales para recuperar resultados en formatos de datos simplificados. El proyecto incluye una interfaz de línea de comandos para ejecutar consultas de base de datos y una herramienta de exportación de datos dedicada que convierte los resultados de consultas relacionales en archivos CSV, JSON o Excel para análisis externo. La biblioteca cubre la gestión de bases de datos relacionales a través del control de transacciones atómicas con soporte para commit y rollback. Maneja la seguridad mediante la parametrización de SQL para prevenir vulnerabilidades de inyección e incluye capacidades para la ejecución de consultas masivas para reducir la sobrecarga de red.
Optimizes performance by running multiple SQL queries in a single operation to reduce network overhead.
SQLDelight is a Kotlin database library that validates SQL schema, statements, and migrations at compile time, generating type-safe Kotlin query functions from labeled SQL files. It treats SQL as the source of truth for database definitions, catching schema errors during the build process before they reach production. The library supports multiple database dialects including SQLite, MySQL, PostgreSQL, HSQL, and H2, and generates platform-specific code for Android, iOS, JVM, and JavaScript targets. It provides a platform-specific driver abstraction that handles database connectivity difference
Runs generated typesafe query functions through a database driver, returning typed objects.
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
Executes standard SQL statements against distributed datasets and external sources with configurable output.
Spin is a WebAssembly serverless framework and development toolchain for building and running portable microservices. It functions as an event-driven orchestrator and runtime that executes WebAssembly components, allowing developers to map HTTP requests, Redis messages, and cron schedules to specific modules. The project distinguishes itself by implementing a Wasm-based AI inference gateway, enabling components to perform model inference and generate text embeddings. It utilizes the WebAssembly Component Model and WASI for language-agnostic composition and portable host interfacing, while emp
Executes SQL statements to retrieve or modify records in relational databases.
node-sqlite3 is a relational database client and a set of native bindings that allow Node.js applications to interact with SQLite databases. It functions as a C++ native addon, linking JavaScript to the SQLite C library to manage data stored in local files or in-memory stores. The project includes optional support for SQLCipher, enabling page-level encryption to secure local database files. The driver covers a wide range of database management capabilities, including executing SQL queries with parameter binding, managing connections to database files, and preparing statements for repeated ex
Provides a native Node.js interface for running SQL queries and retrieving structured data from SQLite.
Harlequin is a terminal-based SQL IDE that runs queries against DuckDB and SQLite databases, with a plug-in adapter system for connecting to additional database engines. It provides a full-screen text editor with syntax highlighting and fuzzy autocomplete for writing SQL, and displays query results in a scrollable table within the terminal. The application distinguishes itself through a tree-based data catalog that lets you browse database schemas, local files, and remote S3 objects, with the ability to insert or copy paths directly into the query editor. It supports custom key bindings throu
Runs SQL statements against a connected database and displays results in a scrollable table.
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
Processes standard SQL statements including filtering, grouping, and sorting to retrieve insights from large-scale datasets with low latency.
pywin32 es una colección de extensiones de Python que sirven como envoltorio para la API nativa de Windows, permitiendo la invocación de funciones del sistema operativo para gestionar recursos del sistema de bajo nivel y hardware. Proporciona una librería central para interactuar con objetos del Modelo de Objetos de Componentes (COM) para automatizar aplicaciones de escritorio nativas, un framework para construir aplicaciones GUI nativas de Windows y una interfaz para registrar y ejecutar scripts de Python como servicios de sistema en segundo plano. El proyecto se distingue por proporcionar una integración profunda con el entorno de Windows, incluyendo la capacidad de vincular código Python al bucle de eventos nativo para manejar notificaciones del sistema y la capacidad de exponer lógica interna como extensiones ISAPI para manejar solicitudes web. Las capacidades más amplias de la librería cubren la conectividad de bases de datos a través de interfaces de proveedores de datos de Windows estandarizadas, la gestión de registros de eventos del sistema y la integración de entornos interpretados interactivos en software externo. El proyecto se distribuye como ruedas binarias específicas de la plataforma para múltiples arquitecturas de procesador, incluyendo ARM64.
Executes SQL statements with support for prepared parameters and result retrieval by column name.
LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes
Executes arbitrary SQL queries for database recovery and debugging.