Projects sharing features with Sequel Ace

phpMyAdmin is a web-based interface for administering MySQL and MariaDB databases. Written in PHP, this relational database administrator allows users to perform common database tasks through a browser instead of a command line. The tool provides a graphical interface for database schema design, including the creation and modification of tables, columns, and indexes. It also enables web-based SQL querying to analyze or modify data and handles general server administration for both MySQL and MariaDB.

PostgresApp is a native macOS application that provides a graphical interface for installing and managing PostgreSQL database servers locally. It serves as a local server manager, allowing users to start, stop, and configure database server states without using the command line. The application supports running multiple different versions of the database server simultaneously on a single machine, enabling multi-version compatibility testing and migrations through isolated environments. It also includes a bundle of pre-installed extensions for geospatial processing and vector search, removing

Beekeeper Studio is a cross-platform desktop application designed for database management and SQL development. It provides a unified graphical interface to connect to, query, and modify data across a wide range of relational and NoSQL database systems. The application functions as a comprehensive workspace, integrating tools for schema design, record editing, and data visualization. The project distinguishes itself through a focus on secure, flexible connectivity and AI-assisted workflows. It supports advanced authentication methods, including enterprise single sign-on, multi-factor authentic

Sqlectron-gui is a cross-platform database manager and SQL client. It provides a graphical interface for organizing server connections and executing SQL commands across various operating systems. The tool functions as a multi-database query environment, allowing users to connect to and interact with diverse relational database systems from a single interface. The application covers database server administration by saving and organizing connection details for multiple environments. It also includes capabilities for managing database connections and executing SQL queries.

TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features

DBeaver is a universal database client and administration environment designed for managing diverse relational and non-relational database systems. It provides a unified graphical interface that enables users to perform data manipulation, schema migration, and performance monitoring across multiple platforms. By utilizing a standardized driver abstraction layer, the application translates generic requests into database-specific commands, ensuring consistent interaction regardless of the underlying technology. The project distinguishes itself through an extensible, plugin-based architecture th

This application is a desktop utility for managing, editing, and visualizing local database files. It provides a graphical interface for executing SQL queries, designing database structures, and performing routine maintenance tasks on data stores. The software distinguishes itself through its support for encrypted database files, allowing users to manage password-protected data using modular cryptographic extensions. It also offers built-in tools for data analysis, enabling the generation of graphical charts and plots directly from query results to identify trends within datasets. Beyond its

Free and open source database client built natively for developers

redis-pro redis 桌面管理工具

Simple SQL Client for lightweight data analysis.

Medis is a native macOS desktop application that serves as a Redis client for connecting to local and remote instances. It provides a graphical user interface for visualizing, editing, and managing data stored within Redis key-value stores. The application includes a visual key-value explorer for browsing records and a dedicated terminal console for executing raw instructions and system shell commands. It supports secure remote administration through SSL encrypted connections and the use of host, port, and password credentials. Connection management is handled via profiles that allow saving

The easiest way to get started with MongoDB on the Mac

Sqlit is a terminal-based SQL client and database explorer designed for executing queries and managing database connections. It functions as a command line interface that provides syntax highlighting, command history, and a terminal user interface for rendering results. The tool features a discovery engine that scans local Docker sockets to automatically identify and resolve connection details for active database containers. It handles secure access through encrypted SSH tunnels and integrates with external secrets managers to retrieve credentials. The project includes capabilities for data

BaoTa is a web-based Linux server control panel and system administration dashboard designed for managing hosting environments and system resources. It provides a graphical interface to translate administrative actions into system-level configurations, allowing users to manage Linux servers and web hosting stacks without relying solely on the command line. The platform distinguishes itself through AI-driven server operations, utilizing artificial intelligence for performance analysis and the execution of maintenance tasks via natural language commands. It supports multi-node orchestration, en

mycli is a MySQL command line client, database administration tool, and SQL query editor. It functions as a terminal interface for executing queries and managing MySQL connections, incorporating an integrated assistant that uses large language models to generate and analyze SQL statements based on the current database schema. The tool provides specialized query authoring capabilities, including context-sensitive syntax suggestions, fuzzy-matching identifier completion for tables and columns, and the ability to handover query buffers to external system text editors. It distinguishes its connec

TablePlus is a SQL database management GUI and professional administration tool designed for managing relational and NoSQL databases. It functions as a native SQL query client and relational data browser, providing a graphical interface for database administration, schema management, and data exploration. The project distinguishes itself through a staged-change commit system that buffers GUI-driven modifications locally for review before they are applied to the server. It also features a native-protocol connection layer for low-latency communication and secure connectivity via SSH tunneling.

Rainfrog is a terminal-based database client that connects to multiple database engines, combining schema browsing, interactive SQL query execution, and inline data editing into a single terminal interface. It provides a tree navigator for exploring tables, columns, and indexes, and an inline cell editor that automatically constructs and executes the necessary UPDATE statements when a cell value is changed. The application also supports modal Vim-style keyboard shortcuts for cursor movement and editing, making it usable entirely from the keyboard. Query results are fetched in chunks and pagin

LazySQL is a terminal user interface database manager and SQL client. It functions as a query runner and connection manager for interacting with SQL databases from the command line. The project features a read-only connection mode that blocks mutation commands to prevent accidental data loss. It supports automated pre-connection tasks, including the execution of shell commands and the establishment of SSH tunnels, and allows for both global and project-specific configuration. The interface provides a tree-based schema browser for navigating tables, a dedicated SQL query editor with tabular r

Azure Data Studio is a cross-platform SQL database management IDE used for writing queries, managing schemas, and administering relational databases. It functions as a comprehensive environment for relational database management, providing a structured interface for executing SQL queries and browsing database objects. The platform is distinguished by its interactive data notebooks, which combine executable code cells, narrative text, and visualizations for data analysis. It also includes specialized tools for database migration, allowing users to assess and transfer schemas and data from on-p

SQL Studio is a web-based database management platform designed to provide a unified interface for interacting with multiple relational database engines and structured file formats. It functions as a comprehensive client that enables users to browse database records, inspect schema metadata, and execute custom queries through a centralized dashboard. The platform distinguishes itself by offering both remote database connectivity and serverless, in-browser analysis of flat files such as Parquet and CSV. It incorporates an intelligent code-aware editor that supports syntax highlighting and cont

CloudBeaver is a web-based database manager and cloud database IDE that provides a centralized browser interface for administering SQL and NoSQL databases. It functions as a multi-database administration tool and an RBAC database access gateway, allowing users to manage diverse relational and document-based database engines through a single server-based installation. The platform distinguishes itself by integrating an artificial intelligence assistant for natural language SQL generation and optimization. It further supports collaborative data engineering by coordinating database operations ac

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

This project is a MySQL database driver and client for Node.js. It provides a JavaScript implementation of the MySQL protocol to facilitate connecting to, querying, and managing data within MySQL databases. The driver includes a connection pool manager to maintain a cache of reusable database connections, reducing the overhead of frequent network handshakes. It also supports row-by-row result streaming to process large datasets without loading entire result sets into memory. Core capabilities cover SQL query execution, the management of database transactions, and the coordination of multiple

PostgreSQL is an object-relational database management system designed for the persistent storage and retrieval of structured information. It functions as an ACID-compliant database server, utilizing standard query language protocols to maintain data consistency and reliability across large-scale application datasets. The system distinguishes itself through an extensible architecture that allows for the definition of custom data types, operators, and indexing methods. It employs multi-version concurrency control to enable simultaneous read and write operations without blocking, supported by a

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A Model Context Protocol Server for MongoDB

A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources.