Open Source Database Software - Page 6
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Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases. -
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ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly reliable and fault tolerant. It supports multi-master asynchronous replication with the option of being deployed across multiple datacenters. With all nodes equal, there is no single point of failure. Downtime of a single node or even the whole datacenter won't affect the system's availability. ClickHouse also has exceptional hardware efficiency and a host of other features, including a feature-rich SQL database, vectorized query execution, real-time query processing and data ingestion, and more. -
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CloudBeaver
Cloud Database Manager
Cloud Database Manager, community edition.CloudBeaver is a web server that provides rich web interface. The server itself is a Java application, the web part is written on TypeScript and React. It is free to use and open-source (licensed under Apache 2 license). CloudBeaver is a light modern web application for database management. Out-of-the-box CloudBeaver supports various SQL, NoSQL and BigData data sources. It is really easy to set up CloudBeaver. In a few clicks you can configure your server, add all your database connections and create users. That’s it. Just share the link within your team and start working together. CloudBeaver Enterprise is a commercial product that is distributed as a docker container. It can be easily deployed in your corporate environment. You can get a trial license to test CloudBeaver Enterprise for free for 30 days. AWS-adapted version of CloudBeaver Enterprise is available on the AWS marketplace. -
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DuckDB
DuckDB is an in-process SQL OLAP Database Management System
DuckDB is a high-performance analytical database system. It is designed to be fast, reliable and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive data analysis, e.g. Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version. -
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MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. MatrixOne introduces a global, high-performance distributed transaction protocol across storage engines. Seamless and non-disruptive scaling by disaggregated storage and compute. -
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Nebula Graph
A distributed, fast open-source graph database
The graph database built for super large-scale graphs with milliseconds of latency. Optimized SUBGRAPH and FIND PATH for better performance. Optimized query paths to reduce redundant paths and time complexity. Optimized the method to get properties for better performance of MATCH statements. Nebula Graph adopts the Apache 2.0 license, one of the most permissive free software licenses in the world. Free as in freedom, because, under the Apache 2.0 license, you can use, copy, modify and redistribute Nebula Graph, even for commercial purposes, all without asking for permission. We believe that great open source projects are not built in isolation, but rather by a community of contributors. We welcome contributions to Nebula Graph from anyone regardless of skill level or background in software development. If you have an idea for a feature you would like to see added, or you have identified a bug that needs fixing, please don't hesitate to submit an issue to our Github repository. -
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PGlite
Lightweight WASM Postgres with real-time, reactive bindings
PGlite is a lightweight, WebAssembly (WASM) build of Postgres designed to run directly in JavaScript environments such as browsers, Node.js, Bun, and Deno, without the need for additional dependencies. It allows developers to run Postgres in-memory or with persistence to IndexedDB or local file systems, offering a simple yet powerful solution for local-first, real-time applications. At under 3MB gzipped, PGlite is optimized for efficiency and includes dynamic extension loading, support for pgvector, and real-time sync capabilities with ElectricSQL. It's ideal for building reactive apps with live queries and syncing data between a cloud Postgres instance and a local PGlite database. -
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Squawk
Linter for Postgres migrations & SQL
Squawk is a static SQL linter for PostgreSQL designed to catch common mistakes and enforce query best practices. It analyzes raw SQL files and flags errors, anti-patterns, or style issues before queries are deployed. Squawk is ideal for teams that want to enforce SQL standards in CI pipelines. -
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WhoDB
A lightweight next-gen data explorer
WhoDB is a lightweight audit logging extension for PostgreSQL that helps track who accessed what data and when. It uses logical decoding and hooks into PostgreSQL internals to log query metadata, user identities, and timestamps in a separate audit schema. WhoDB is useful for compliance, security monitoring, and debugging in multi-user environments. -
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dblab
The database client every command line junkie deserves
dblab is a fast and lightweight interactive terminal based UI application for PostgreSQL, MySQL and SQLite3, written in Go and works on OSX, Linux and Windows machines. Main idea behind using Go for backend development is to utilize ability of the compiler to produce zero-dependency binaries for multiple platforms. dblab was created as an attempt to build very simple and portable application to work with local or remote PostgreSQL/MySQL/SQLite3/Oracle/SQL Server databases. -
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sqlite-vec
A vector search SQLite extension that runs anywhere
A vector search SQLite extension that runs anywhere. -
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MySQL for Python
MySQL database connector for Python programming
MySQLdb is a Python DB API-2.0-compliant interface; see PEP-249 for details. For up-to-date versions of MySQLdb, use the homepage link. Supported versions: * MySQL versions from 3.23 to 5.5; 5.0 or newer recommended. MariaDB should also work. * Python versions 2.4-2.7; Python 3 support coming soon. ZMySQLDA is a Database Adapter for Zope2. -
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Exposed
Kotlin SQL framework
Welcome to Exposed, an ORM framework for Kotlin. Exposed offers two levels of database access: typesafe SQL wrapping DSL and lightweight data access objects. Our official mascot is Cuttlefish, which is best known for its outstanding mimicry abilities letting it blend seamlessly in any environment. Just like our mascot, Exposed can mimic a variety of database engines and help you build database applications without hard dependencies on any specific database engine, and switch between them with very little or no changes in your code. Exposed is currently available for maven/gradle builds at Maven Central. -
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GRDB.swift
A toolkit for SQLite databases
GRDB.swift is a comprehensive SQLite toolkit for Swift developers, providing type-safe database access through mapping to Swift structs and records. It offers query building, migrations, concurrency control, and Swift Codable integration—ideal for local or embedded data persistence in iOS, macOS, and cross-platform Swift applications. -
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Hasura GraphQL Engine
Blazing fast, instant realtime GraphQL APIs on your DB
Hasura is an open-source product that accelerates API development by 10x by giving you GraphQL or REST APIs with built-in authorization on your data, instantly. Run Hasura, locally or in the cloud, and connect it to your new or existing databases to instantly get a production-grade GraphQL API. Developers and architects love Hasura because it takes no time to get started, doesn’t need them to be a GraphQL expert upfront, and saves their teams months of recurring effort in building, shipping, and maintaining their APIs. Hasura’s built-in RLS style authorization engine allows you to conveniently specify authorization rules at a model level, and safely expose the GraphQL API to developers inside or outside your organization. Hasura’s authz engine is enabling agile teams in fast-growing startups as well as powering mission-critical data access in highly regulated environments such as Fortune 500 healthcare, financial services and US federal agencies. -
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Nitrite Database
NoSQL embedded document store for Java
Nitrite is an embedded NoSQL database for Java applications, offering lightweight document storage with indexing and query capabilities. -
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Nyaa
Nyaa.se replacement written in golang
The aim of this project is to write a fully featured nyaa replacement in golang that anyone will be able to deploy locally or remotely. On Windows, a specific version of GCC is used to build a specific depedency we use The GCC version packaged with msys2 should work. We support docker for easy development and deployment. Simply install docker and docker-compose. Once you've successfully installed docker, make sure you have the database file in the project's directory as nyaa.db. Then, follow these steps to build and run the application. -
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Postgres Meta
A RESTful API for managing your Postgres. Fetch tables, add roles
Postgres Meta is a RESTful API for managing PostgreSQL databases, developed by Supabase. It allows users to perform administrative tasks such as creating tables, views, functions, roles, and extensions programmatically through HTTP endpoints. Postgres Meta enables developers to integrate database management directly into dashboards, automation tools, or backend services without requiring SQL access or pgAdmin. -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Train models on your data in your datastore simply by querying without additional ingestion and pre-processing. -
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Trailbase
A blazingly fast, open-source application server with type-safe APIs
A blazingly fast, open-source application server with type-safe APIs, built-in JS/ES6/TS Runtime, Auth, and Admin UI built on Rust, SQLite & V8. Simplify with fewer moving parts: an easy-to-self-host, single-file, extensible backend for your mobile, web, or desktop application. Sub-millisecond latencies eliminate the need for dedicated caches, no more stale or inconsistent data. -
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ioredis
A performance-focused Redis client for Node.js
ioredis is a robust, full-featured Redis client that is used in the world's biggest online commerce company Alibaba and many other awesome companies. Full-featured. It supports Cluster, Sentinel, Streams, Pipelining and of course Lua scripting & Pub/Sub (with the support of binary messages). High performance. Delightful API. It works with Node callbacks and Native promises. Transformation of command arguments and replies. Transparent key prefixing. Abstraction for Lua scripting, allowing you to define custom commands. Support for binary data. Support for TLS. Support for offline queue and ready checking. Support for ES6 types, such as Map and Set. Support for GEO commands. Support for Redis ACL. Sophisticated error handling strategy. Support for NAT mapping. Support for autopipelining. ioredis supports all of the scripting commands such as EVAL, EVALSHA and SCRIPT. -
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pg_cron
Run periodic jobs in PostgreSQL
pg_cron is a PostgreSQL extension that allows SQL jobs to be scheduled using cron syntax. It runs inside the database server and lets users automate routine tasks like VACUUM, backups, and custom SQL scripts. Jobs are managed via SQL commands and can run on the same schedule format as standard UNIX cron, making it powerful and easy to use for database administrators and developers alike. -
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pg_partman
Partition management extension for PostgreSQL
pg_partman is a PostgreSQL extension for managing time-based and serial-based table partitioning. It automates the creation, maintenance, and retention of partitions, making it easier to manage large datasets with better performance and query efficiency. Designed for both native and trigger-based partitioning, pg_partman is ideal for applications handling time-series or log data. -
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xDBD
Borland Database Desktop (DBD32.exe) replacement
This is a fully functional replacement of the Borland Database Desktop, wich is now working on Windows 10. -
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Tool for monitoring Sybase products (ASE, RS, IQ, RAO) Supported versions : ASE : from 12.5.0.3 to 16SP03 RS : from 12.6 to 16 IQ : from 12.6 to 16 RAO : from 12.5 to 15.7.1 Version (2.7.21) supports ASE Cluster Edition New version V3.0 can archive directly into IQ 16 Two components : - asemon_logger : the java agent which collects indicators and archive them in a database - asemon_report : the web client, written in PHP, used to query the indicator's database (use "Files" menu to download this component) See : https://sourceforge.net/apps/mediawiki/asemon/index.php?title=Main_Page for documentation
