The smoothest, best looking, and easiest to use SQL client for MySQL, Postgres, SQLite, SQL Server, Red shift, MariaDB, CockroachDB and more.

Beekeeper Studio - Open Source SQL Editor and Database Manager

sql.js is a javascript SQL database. It allows you to create a relational database and query it entirely in the browser. It uses a virtual database file stored in memory, and thus doesn't persist the changes made to the database. However, it allows you to import any existing sqlite file, and to export the created database as a JavaScript typed array. sql.js uses emscripten to compile SQLite to webassembly (or to javascript code for compatibility with older browsers). It includes contributed math and string extension functions.
 
sql.js can be used like any traditional JavaScript library. If you are building a native application in JavaScript (using Electron for instance), or are working in node.js, you will likely prefer to use a native binding of SQLite to JavaScript. A native binding will not only be faster because it will run native code, but it will also be able to work on database files directly instead of having to load the entire database in memory, avoiding out of memory errors and further improving performances.

sql.js is a javascript SQL database. It allows you to create a relational database and query it entirely in the browser.  It uses a virtual database file stored in memory, and thus doesn't persist the changes made to the database. However, it allows you to import any existing sqlite file, and to export the created database as a JavaScript typed array. sql.js uses emscripten to compile SQLite to webassembly (or to javascript code for compatibility with older browsers). It includes contributed math and string extension functions.

sql.js - A Javascript library to run SQLite on the web

TypeORM is an ORM that can run in NodeJS, Browser, Cordova, PhoneGap and Ionic platforms and can be used with TypeScript and JavaScript (ES5, ES6, ES7). Its goal to always support latest JavaScript features and provide features that help you to develop any kind of applications that use databases - from small applications with a few tables to large scale enterprise applications with multiple databases.
 
TypeORM supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently exist, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way.

TypeORM is an ORM that can run in NodeJS, Browser, Cordova, PhoneGap and Ionic platforms and can be used with TypeScript and JavaScript (ES5, ES6, ES7). Its goal to always support latest JavaScript features and provide features that help you to develop any kind of applications that use databases - from small applications with a few tables to large scale enterprise applications with multiple databases.

Typeorm - Amazing ORM for TypeScript and JavaScript (ES7, ES6, ES5)

Bookshelf is a JavaScript ORM for Node.js, built on the Knex SQL query builder. Featuring both promise based and traditional callback interfaces, providing transaction support, eager/nested-eager relation loading, polymorphic associations, and support for one-to-one, one-to-many, and many-to-many relations. It is designed to work well with PostgreSQL, MySQL, and SQLite3.
 
Bookshelf aims to provide a simple library for common tasks when querying databases in JavaScript, and forming relations between these objects, taking a lot of ideas from the the Data Mapper Pattern.

 Bookshelf is a JavaScript ORM for Node.js, built on the Knex SQL query builder. Featuring both promise based and traditional callback interfaces, providing transaction support, eager/nested-eager relation loading, polymorphic associations, and support for one-to-one, one-to-many, and many-to-many relations. It is designed to work well with PostgreSQL, MySQL, and SQLite3.

Bookshelf - A simple Node.js ORM for PostgreSQL, MySQL and SQLite3 built on top of Knex.js

mongo-express is a web-based MongoDB admin interface written with Node.js, Express and Bootstrap3. It has support to work with multiple database, GridFS support, Replication etc.

Mongo Express - Web-based MongoDB admin interface, written with Node.js and express

InfluxDB is an open source time series platform. This includes APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes, user dashboards, and visualizing and exploring the data and more. The master branch on this repo now represents the latest InfluxDB, which now includes functionality for Kapacitor (background processing) and Chronograf (the UI) all in a single binary.  It is designed to handle high write and query loads and provides a SQL-like query language called InfluxQL for interacting with data.

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

Non-blocking PostgreSQL client for Node.js. Pure JavaScript and optional native libpq bindings. It supports Connection pooling, PostgreSQL data-type coercion, Parameterized queries, Named statements with query plan caching, Async notifications with LISTEN/NOTIFY and lot more.

node-postgres - PostgreSQL client for node.js

OrbitDB is a serverless, distributed, peer-to-peer database. OrbitDB uses IPFS as its data storage and IPFS Pubsub to automatically sync databases with peers. It's an eventually consistent database that uses CRDTs for conflict-free database merges making OrbitDB an excellent choice for decentralized apps (dApps), blockchain applications and offline-first web applications.
 
OrbitDB provides various types of databases for different data models and use cases:
<ul>
<li><a href="https://github.com/orbitdb/orbit-db/blob/master/API.md#orbitdblognameaddress" target="_blank">log</a>: an immutable (append-only) log with traversable history. Useful for "latest N" use cases or as a message queue.</li>
<li><a href="https://github.com/orbitdb/orbit-db/blob/master/API.md#orbitdbfeednameaddress" target="_blank">feed</a>: a mutable log with traversable history. Entries can be added and removed. Useful for "shopping cart" type of use cases, or for example as a feed of blog posts or "tweets".</li>
<li><a href="https://github.com/orbitdb/orbit-db/blob/master/API.md#orbitdbkeyvaluenameaddress" target="_blank">keyvalue</a>: a key-value database just like your favourite key-value database.</li>
<li><a href="https://github.com/orbitdb/orbit-db/blob/master/API.md#orbitdbdocsnameaddress-options" target="_blank">docs</a>: a document database to which JSON documents can be stored and indexed by a specified key. Useful for building search indices or version controlling documents and data.</li>
<li><a href="https://github.com/orbitdb/orbit-db/blob/master/API.md#orbitdbcounternameaddress" target="_blank">counter</a>: Useful for counting events separate from log/feed data.</li>
</ul>

OrbitDB is a serverless, distributed, peer-to-peer database. OrbitDB uses IPFS as its data storage and IPFS Pubsub to automatically sync databases with peers. It's an eventually consistent database that uses CRDTs for conflict-free database merges making OrbitDB an excellent choice for decentralized apps (dApps), blockchain applications and offline-first web applications.

orbit-db - Peer-to-Peer Databases for the Decentralized Web

BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It's ideal for projects that need a dependable database and favor speed over data size.The desire to create BuntDB stems from the need for a new embeddable database for Tile38 and SummitDB.

BuntDB - Embeddable, in-memory key/value database for Go with custom indexing and geospatial support

Tile38 is a in-memory geolocation data store, spatial index, and realtime geofence. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON. It supports spatial index with search methods such as Nearby, Within, and Intersects, Realtime geofencing through persistent sockets or webhooks and lot more.
 
Tile38 uses the Redis RESP protocol natively. Therefore most clients that support basic Redis commands will in turn support Tile38.

Tile38 is a  in-memory geolocation data store, spatial index, and realtime geofence. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON. It supports spatial index with search methods such as Nearby, Within, and Intersects, Realtime geofencing through persistent sockets or webhooks and lot more. 

Tile38 - Geospatial database, spatial index, and realtime geofence

SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting.Under the hood it utilizes Finn, Redcon, BuntDB, GJSON, and Otto.

SummitDB - In-memory NoSQL database with ACID transactions, Raft consensus, and Redis API

adminMongo is a Web based user interface (GUI) to handle all your MongoDB connections/databases needs. It is fully responsive and should work on a range of devices.
<ul>
<li>Manage from a connection level for easy access to multiple databases</li>
<li>Create/Delete databases</li>
<li>Backup/Restore databases</li>
<li>Create/Delete/Edit collection</li>
<li>Create/Delete/Edit documents</li>
<li>Create/Delete indexes</li>
<li>Query documents</li>
<li>Collection statistics</li>
<li>Export collections in JSON format</li>
<li>Server monitoring</li>
</ul>

adminMongo is a Web based user interface (GUI) to handle all your MongoDB connections/databases needs. It is fully responsive and should work on a range of devices.

adminMongo - Web based user interface (GUI) to handle all your MongoDB connections/databases needs.

rqlite is a lightweight, distributed relational database, which uses SQLite as its storage engine. Forming a cluster is very straightforward, it gracefully handles leader elections, and tolerates failures of machines, including the leader. rqlite gives you the functionality of a rock solid, fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation. With it you've got a lightweight and reliable distributed relational data store. Think etcd or Consul, but with relational data modelling also available.
 
if you're interested in understanding how distributed systems actually work, rqlite is a good example to study. Much thought has gone into its design and implementation, with clear separation between the various components, including storage, distributed consensus, and API. rqlite uses Raft to achieve consensus across all the instances of the SQLite databases, ensuring that every change made to the system is made to a quorum of SQLite databases, or none at all.

rqlite is a lightweight, distributed relational database, which uses SQLite as its storage engine. Forming a cluster is very straightforward, it gracefully handles leader elections, and tolerates failures of machines, including the leader. rqlite gives you the functionality of a rock solid, fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation. With it you've got a lightweight and reliable distributed relational data store. Think etcd or Consul, but with relational data modelling also available.


rqlite - The lightweight, distributed relational database built on SQLite

Ledisdb is a high-performance NoSQL database library and server written in Go. It's similar to Redis but store data in disk. It supports many data structures including kv, list, hash, zset, set. LedisDB supports multiple different databases as backends. 

LedisDB -  A high performance NoSQL Database Server powered by Go

LokiJS is a document oriented database, Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. It runs in node (including cordova/phonegap and node-webkit) and the browser. It is ideal for client-side in-memory db is ideal (e.g., a session store), data sets loaded into a browser page and synchronised at the end of the work session etc.

LokiJS - A fast, in-memory document-oriented datastore for node.js, browser and cordova

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