Open Source Database Software - Page 12
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Chat2DB
AI-driven database tool and SQL client
Save time by working with data. Connect to all your data sources, and instantly generate optimal SQL for fast lightning information. If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. Just enter the names of the tables and columns, and we will automatically configure the type, password, and comment, saving you 90% of the time. Imports and exports data in multiple formats (CSV, XLSX, XLS, SQL) to facilitate exchange, backup, and migration. Transfers data between different databases or through cloud services, as a backup and recovery solution that guarantees the minimum loss of data and downtime during migrations. -
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Create Go App CLI
Create a new production-ready project with backend, and frontend
Create a new production-ready project with backend, frontend and deploy automation by running one CLI command! Focus on writing code and thinking of business-logic! The CLI will take care of the rest. Next, open the generated Ansible inventory file (called hosts.ini) and fill in the variables according to your server configuration. And you're ready to automatically deploy this project. If you don't want to install Create Go App CLI to your system, you feel free to using our official Docker image and run CLI from isolated container. CLI command for deploy Docker containers with your project via Ansible to the remote server. Configured PostgreSQL container with apply migrations for backend. Frontend part will be generate using awesome tool Vite.js under the hood. So, you'll always get the latest version of React, Preact, Vue, Svelte, Lit or pure JavaScript/TypeScript templates. -
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Doctrine DBAL
Doctrine database abstraction layer
Powerful PHP database abstraction layer (DBAL) with many features for database schema introspection and management. The Doctrine database abstraction & access layer (DBAL) offers a lightweight and thin runtime layer around a PDO-like API and a lot of additional, horizontal features like database schema introspection and manipulation through an OO API. The fact that the Doctrine DBAL abstracts the concrete PDO API away through the use of interfaces that closely resemble the existing PDO API makes it possible to implement custom drivers that may use existing native or self-made APIs. For example, the DBAL ships with a driver for Oracle databases that uses the oci8 extension under the hood. The Doctrine 2 database layer can be used independently of the object-relational mapper. In order to use the DBAL all you need is the class loader provided by Composer, to be able to autoload the classes. -
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EJDB
Embeddable JSON Database engine C library
EJDB 2.0, Embeddable JSON Database engine C library. Simple XPath like query language (JQL). Websockets / Android / iOS / React Native / Flutter / Java / Dart / Node.js bindings. Docker image. Array elements are matched from start to end. In equal arrays all values at the same index should be equal. Lexicographically sort object keys in both maps. Do matching keys and its values starting from the lowest key. Database index can be build for any JSON field path containing values of number or string type. All documents in collection are sorted by their primary key in descending order. So if you use auto generated keys (ejdb_put_new) you may be sure what documents fetched as result of full scan query will be ordered according to the time of insertion in descendant order, unless you don't use query sorting, indexes or inverse keyword. -
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Flask-Migrate
SQLAlchemy database migrations for Flask applications using Alembic
Flask-Migrate is a Flask extension that integrates SQLAlchemy database migrations into Flask applications by leveraging Alembic, making schema changes easier and safer across development and deployment environments. It provides a set of command-line routines tied into Flask’s CLI such that developers can generate migration scripts, apply upgrades, and roll back changes with simple commands, keeping the database structure in sync with evolving application models. The extension handles versioning of the database schema so teams can track and share structural changes alongside application code, reducing manual migration errors and enabling collaborative development. Flask-Migrate also supports branching and merging workflows by generating human-readable migration scripts that developers can review, edit, and commit to version control. -
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Foundation for Sites
The most advanced responsive front-end framework in the world
Foundation is the world’s most advanced responsive front-end framework that lets you go from prototype to production quickly and easily, with sites or apps that work on any device. Made up of very easy to style modular and flexible components, Foundation makes quick work of bringing your ideas to life. It’s got a fully customizable, responsive grid, a Sass based animation library, full accessibility support and a whole lot more. The latest version of Foundation has implemented a 50% code reduction, fewer and simpler base styles that you can easily modify to fit your needs, and is A11y friendly. To learn more about Foundation for Sites, visit the website: https://get.foundation/sites.html -
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INS
Inspiration database for Internet practitioners with no ads
INS is described as a kind of “inspiration database for internet workers” — a repository that collects and curates interesting websites, tools, links, or resources that might inspire developers, designers, or any knowledge workers. It aims to operate without ads, focusing purely on the content and resource quality, and leverages automation (e.g. GitHub Actions) to check link validity or site load speed, ensuring that listed resources remain accessible over time. For people in tech who constantly seek new tools, articles, or creative inspiration, ins serves as a living catalogue that can be browsed, contributed to, and relied upon for discovering useful or thought-provoking material without the noise of ads or clickbait. Because it is open-source, users can fork the database, contribute new entries, or adapt it for their personal tool-lists. -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there are tens of devices under LAN network. IoTDB can be installed on a local controller server in the factory to receive data from those devices. The local controller server (normal PC or workstation) with IoTDB can provide the ability to persist data and query data with SQL-like interface. In addition, with TsFile-Sync tool, TsFiles on the local controller can be transmitted to the data center equipped with IoTDB instance in the cloud. -
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KairosDB
Fast scalable time series database
KairosDB is a fast distributed scalable time series database written on top of Cassandra. -
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Mycat2
MySQL Proxy using Java NIO based on Sharding SQL, Calcite
Open source intermediate for the MySQL database network protocol written in Java language, open source of GPLv3 protocol. Custom Calcite distributed query engine, edit SQL to relationship algebra expression, rule optimization engine, and cost optimization engine, generate physical execution plan, support logic view. Any cross-currant cross-table join query, support cross-currant cross-table non-associated query, support cross-currant cross-table association query, support cross-currant cross-table Window grammar, support global secondary index, limited support storage process, support visualization configuration. Support parallel extraction of result sets, support the automatic transfer of back-end result sets, support multiple routing notes, and optimizer notes. Parameterization of the requested SQL, cache physics execution plan, and request of the same parameterization SQL, will avoid some analysis and optimization processes. -
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OSV.dev
Open source vulnerability DB and triage service
osv.dev (Open Source Vulnerabilities) is Google’s open source platform and API for aggregating, managing, and analyzing vulnerability data across multiple ecosystems. It powers the osv.dev website, providing a unified, queryable database of vulnerabilities that map directly to open source packages and versions. The system hosts vulnerability data for ecosystems such as PyPI, npm, Go, Maven, and Debian, among others. The platform includes a web UI, API, and a Go-based dependency scanner that checks software dependencies, container images, SBOMs (SPDX, CycloneDX), and Git repositories for known vulnerabilities. This repository contains the full infrastructure code for deploying osv.dev on Google Cloud Platform, including Terraform configurations, APIs, data pipelines, indexers, and background workers for vulnerability ingestion and impact analysis. It also integrates with automated feeds from sources like NVD and OSS-Fuzz, enabling continuous updates and high data accuracy. -
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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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Qmgo
The Go driver for MongoDB. It‘s based on mongo-go-driver
Qmgo is a Go driver for MongoDB . It is based on MongoDB driver, but easier to use like mgo (such as the chain call). Qmgo allows users to use the new features of MongoDB in a more elegant way. Qmgo is the first choice for migrating from mgo to the new MongoDB driver with minimal code changes. If your connection points to a fixed database and collection, recommend using the following way to initialize the connection. All operations can be based on cli. Qmgo supports two ways to make specific fields automatically updated in a specific API. Define the custom fields, Qmgo will update them in update and insert operation. Automatically default and custom fields. CRUD to documents, with all supported options. -
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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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React Native Contracts
React Native Contacts
A React Native library for accessing and managing contacts on iOS and Android devices, enabling apps to retrieve and manipulate contact data. -
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React Redux Universal Hot Example
A starter boilerplate for a universal webapp
This is a starter boilerplate app created with Universal rendering, both client and server make calls to load data from separate API server, React, React Router, Express, Babel for ES6 and ES7 magic, Webpack for bundling, Webpack Dev Middleware, Webpack Hot Middleware, Redux's futuristic Flux implementation, Redux Dev Tools for next generation DX (developer experience), React Router Redux Redux/React Router bindings, ESLint to maintain a consistent code style, redux-form to manage form state in Redux, lru-memoize to speed up form validation, multireducer to combine single reducers into one key-based reducer, style-loader, sass-loader and less-loader to allow import of stylesheets in plain css, sass and less, bootstrap-sass-loader and font-awesome-webpack to customize Bootstrap and FontAwesome, react-helmet to manage title and meta tag information on both server and client, and webpack-isomorphic-tools to allow require() work for statics both on client and server. -
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Redix
A very simple pure key => value storage system that speaks Redis
redix is a very simple key => value storage engine that speaks redis and even more simpler and flexible. redis is very simple, sometimes we abuse it, so I decided to build a pure key-value storage system that introduces the core utilities for building any data structure you want based on the key => value model that is because I think that everything could be modeled easily using that model, so I decided to not to follow redis and all of its commands, you won’t find lpush, hset, sadd, … etc you will find a new way to do the same job but more easier and flexable, i.e, the well-known hset key field value command could be replaced with set key/field value, but sometimes you need to return a specific hashmap as key => value, but you run hget key field to get the key’s value and also it could be replaced with get key/field, but how could we replace hgetall key? I will say “it is easy”, let’s make the hget command work as a prefix scanner that scan the whole database. -
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RethinkDB
The open-source database for the realtime web
RethinkDB is the first open-source, scalable, NoSQL database for building realtime applications. It pushes JSON to your apps in realtime and makes building realtime apps so much easier. RethinkDB exposes a new database access model where the developer can tell the database to continuously push updated query results to apps without polling for changes. This expedites the building of realtime, scalable apps while also cutting down on effort. RethinkDB can be used for a number of different things: building realtime trading and optimization engines; simplifying the data infrastructure in multiplayer games to produce low latency, high throughput realtime interactions; building reactive web and mobile apps with a lot less effort, and so much more. -
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SQL Notebook
SQL Notebook — Casual data exploration in SQL
SQL Notebook is a free Windows application for querying and analyzing data across multiple sources, including SQLite, PostgreSQL, Excel, and CSV files. It combines a SQL editor with a notebook interface, allowing for data exploration, transformation, and visualization in one place. SQL Notebook is ideal for analysts and data enthusiasts. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
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SQLpage
Fast SQL-only data application builder
SQLPage is a rapid application development tool that enables developers to build data-driven web applications using only SQL queries. By writing simple .sql files, users can create interactive web pages that display data as text, lists, grids, plots, and forms, streamlining the process of developing data applications without extensive frontend coding. -
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Slick database
Slick (Scala Language Integrated Connection Kit) is a modern database
Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the static checking, compile-time safety and compositionality of Scala. Slick features an extensible query compiler which can generate code for different backends. It allows you to work with relational databases almost as if you were using Scala collections, while at the same time giving you full control over when a database access happens and what data is transferred. By writing your queries in Scala you can benefit from the static type checking, compile-time safety, and compositionality of Scala, while retaining the ability to drop down to raw SQL where needed for custom or advanced database features. -
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SpacetimeDB
Multiplayer at the speed of light
SpacetimeDB is a high-performance, distributed database optimized for real-time multiplayer applications. It offers low-latency data synchronization across clients, ensuring a seamless and responsive user experience. With built-in conflict resolution and support for complex data types, SpacetimeDB simplifies the development of interactive, collaborative applications. -
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Sql driver mock for Golang
Sql mock driver for golang to test database interactions
sqlmock is a mock library implementing sql/driver. Which has one and only purpose - to simulate any sql driver behavior in tests, without needing a real database connection. It helps to maintain correct TDD workflow. In v1.2.0 sqlmock.Rows has changed to struct from interface, if you were using any type references to that interface, you will need to switch it to a pointer struct type. Also, sqlmock.Rows were used to implement driver.Rows interface, which was not required or useful for mocking and was removed. Visit godoc for general examples and public api reference. See .travis.yml for supported go versions. Different use case, is to functionally test with a real database - go-txdb all database-related actions are isolated within a single transaction so the database can remain in the same state. -
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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.
