51 रिपॉजिटरी
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 is a serverless relational database engine and C-based library that stores data in a single local disk file. It functions as an embedded SQL database, integrating directly into applications without the need for a separate server process. The engine includes specialized capabilities for full-text search indexing and spatial data querying using R-Tree structures for geographic or geometric coordinate ranges. The system provides broad support for SQL data manipulation, database recovery and repair, and change tracking for synchronizing modifications between databases. It also features a
Executes SQL statements to manipulate and retrieve data from local files.
Highlight is a full-stack observability platform and monitoring system that aggregates logs, errors, and distributed traces to provide a unified view of application health. It functions as a distributed tracing system, an error monitoring service, and a session replay tool. The platform is available as a dockerized monitoring stack for self-hosted deployments on Linux. It distinguishes itself by combining backend observability with a visual recording system that captures document object model changes and network requests to replay user interactions. The system covers several core capability
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 is a suite of tools providing a SQL database client library, a transaction manager, and utilities for command line access and data export. It functions as a thin-layer wrapper that executes raw SQL queries against relational databases to retrieve results in simplified data formats. The project includes a command line interface for running database queries and a dedicated data export tool that converts relational query results into CSV, JSON, or Excel files for external analysis. The library covers relational database management through atomic transaction control with commit and rollb
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, Python एक्सटेंशन्स का एक संग्रह है जो नेटिव Windows API के लिए एक रैपर के रूप में कार्य करता है, जो लो-लेवल सिस्टम संसाधनों और हार्डवेयर को मैनेज करने के लिए ऑपरेटिंग सिस्टम फ़ंक्शंस के आह्वान को सक्षम बनाता है। यह नेटिव डेस्कटॉप एप्लिकेशन्स को ऑटोमेट करने के लिए कंपोनेंट ऑब्जेक्ट मॉडल ऑब्जेक्ट्स के साथ इंटरैक्ट करने के लिए एक कोर लाइब्रेरी, नेटिव Windows GUI एप्लिकेशन्स बनाने के लिए एक फ्रेमवर्क, और बैकग्राउंड सिस्टम सर्विसेज़ के रूप में Python स्क्रिप्ट्स को पंजीकृत करने व चलाने के लिए एक इंटरफ़ेस प्रदान करता है। प्रोजेक्ट Windows वातावरण के साथ गहरा एकीकरण प्रदान करके खुद को अलग करता है, जिसमें सिस्टम नोटिफिकेशन्स को संभालने के लिए नेटिव इवेंट लूप के साथ Python कोड को बाइंड करने की क्षमता और वेब अनुरोधों को संभालने के लिए ISAPI एक्सटेंशन्स के रूप में आंतरिक तर्क को एक्सपोज़ करने की क्षमता शामिल है। लाइब्रेरी की व्यापक क्षमताएं मानकीकृत Windows डेटा प्रोवाइडर इंटरफ़ेस के माध्यम से डेटाबेस कनेक्टिविटी, सिस्टम इवेंट लॉग्स का प्रबंधन, और बाहरी सॉफ़्टवेयर में इंटरैक्टिव इंटरप्रिटेड वातावरण का एकीकरण शामिल हैं। प्रोजेक्ट को ARM64 सहित कई प्रोसेसर आर्किटेक्चर के लिए प्लेटफ़ॉर्म-विशिष्ट बाइनरी व्हील्स के रूप में वितरित किया गया है।
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.