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https://github.com/merdoyovski/awesome-database

A curated list of amazingly awesome database libraries and resources.
https://github.com/merdoyovski/awesome-database

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A curated list of amazingly awesome database libraries and resources.

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# Awesome-Database [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)



> A curated list of amazingly awesome database libraries, and resources.



## Contents



- [SQL](#sql)

- [NoSQL](#nosql)

- [Key-Value](#key-value)

- [Graph](#graph)

- [Vector](#vector)

- [Search Engines](#search-engines)

- [Blogs](#blogs)

- [Research Papers](#research-papers)

- [Contribute](#contribute)



## SQL



- [Citus](https://github.com/citusdata/cstore_fdw) - Fast columnar store for analytics with PostgreSQL.

- [Facebook MySQL](https://github.com/facebook/mysql-5.6) - Facebook's branch of the Oracle MySQL v5.6 database.

- [Twitter MySQL](https://github.com/twitter/mysql) - MySQL fork maintained and used at Twitter.

- [PostgreSQL](https://github.com/postgres/postgres) - An advanced open-source relational database known for its extensibility, standards compliance, and robustness. Supports both SQL and JSON querying.

- [SQLite](http://www.sqlite.org/) - A completely embedded, full-featured relational database in a few 100k that you can include right into your project.

- [VoltDB](https://github.com/VoltDB/voltdb/) - VoltDB is a horizontally-scalable, in-memory SQL RDBMS designed for applications that have extremely high read and write throughput requirements.

- [Datomic](http://www.datomic.com/) - A distributed database designed to enable scalable, flexible, and intelligent applications, running on next-gen cloud architectures. It provides ACID transactions, joins, and a powerful query language with time-travel capabilities.

- [Cassandra](https://github.com/apache/cassandra) - Cassandra is a partitioned row store. Rows are organized into tables with a required primary key.

- [TiDB](https://www.pingcap.com/tidb) - TiDB is a full open-source MySQL _compatible_ distributed relational "NewSQL" database written in Go and Rust. Offering support for both on-premise and cloud deployments with a non-blocking DDL.

- [Greenplum](https://greenplum.org) - Greenplum is an MPP (massively parallel processing / multi-node) version of PostgreSQL, for analytic workloads. It lags behind upstream PostgreSQL versions, based on v9.4 as of June 2023.



## NoSQL



- [Aerospike](https://github.com/aerospike/aerospike-server) - Aerospike Database Server – flash-optimized, in-memory, NoSQL database.

- [MongoDB](https://github.com/mongodb/mongo) - A source-available NoSQL database program that uses a document-oriented database model. It supports a variety of data forms including text, images, and complex objects. Known for its scalability and flexibility.

- [InfluxDB](https://github.com/influxdb/influxdb) - Scalable datastore for metrics, events, and real-time analytics.

- [LedisDB](https://github.com/siddontang/ledisdb) - Ledisdb is a high-performance NoSQL like Redis based on LevelDB.

- [Tiedot](https://github.com/HouzuoGuo/tiedot) - A NoSQL database powered by Golang. It has a JSON API and supports basic CRUD operations and in-place updates. Designed for simplicity and performance.

- [Elasticsearch](https://github.com/elasticsearch/elasticsearch) - Open Source, Distributed, RESTful Search Engine.

- [MapDB](https://github.com/jankotek/MapDB) - MapDB provides concurrent Maps, Sets, and Queues backed by disk storage or off-heap-memory. It is a fast and easy-to-use embedded Java database engine.

- [OrientDB](https://github.com/orientechnologies/orientdb) - OrientDB is an Open Source NoSQL DBMS with the features of both Document and Graph DBMSs.

- [CouchDB](https://github.com/apache/couchdb) - Apache CouchDB™ is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API.

- [Fireproof](https://github.com/fireproof-storage/fireproof) - Zero dependency, offline-capable CRDT database, runs in the browser and connects to any cloud.



## Key-Value



- [LMDB](http://symas.com/mdb/) - Very fast embedded key/value store with full ACID semantics.

- [Memcache](https://github.com/memcached/memcached) - Free & open source, high-performance, distributed memory object caching system.

- [Monetdb](https://github.com/snaga/monetdb) - An open-source column-oriented database management system that focuses on high performance for complex queries. It's often used for data warehousing, OLAP, and data mining.

- [Redis](https://github.com/antirez/redis) - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kinds of values are supported: Strings, Lists, Sets, Sorted Sets, and Hashes.

- [RethinkDB](https://github.com/rethinkdb/rethinkdb) - An open-source distributed JSON document database with a pleasant and powerful query language.

- [RocksDB](https://github.com/facebook/rocksdb) - Embedded key-value store for fast storage.

- [TiKV](https://tikv.org/) - ACID-compliant, distributed key-value store, based on RocksDB. TiKV is designed as the row-based storage engine for TiDB.

- [SSDB](https://github.com/ideawu/ssdb) - SSDB - A fast NoSQL database, an alternative to Redis.

- [Riak](https://github.com/basho/riak) - Riak is a decentralized datastore from Basho Technologies.

- [Bolt](https://github.com/boltdb/bolt) - A low-level key/value database for Go.

- [Diskv](https://github.com/peterbourgon/diskv) - A home-grown disk-backed key-value store.

- [Go-cache](https://github.com/pmylund/go-cache) - An in-memory key-value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

- [GoLevelDB](https://github.com/syndtr/goleveldb) - An implementation of the [LevelDB](https://code.google.com/p/leveldb/) key/value database in the Go.

- [Groupcache](https://github.com/golang/groupcache) - Groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.

- [Roshi](https://github.com/soundcloud/roshi/) - Roshi is a large-scale CRDT set implementation for timestamped events.

- [Lmdbjni](https://github.com/deephacks/lmdbjni) - LMDB for Java, which is a very fast embedded key/value store with full ACID semantics.

- [HollowDB](https://github.com/firstbatchxyz/hollowdb) - HollowDB is a decentralized & privacy-preserving key-value database on the Arweave network, powered by Warp Contracts.



## Graph



- [Neo4j](https://github.com/neo4j/neo4j) - An open-source, NoSQL, native graph database that provides an ACID-compliant transactional backend for your applications. Known for its high performance, scalability, and flexibility.



## Vector



- [Pinecone](https://www.pinecone.io/) - The vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable.

- [DANNY](https://github.com/firstbatchxyz/danny) - DANNY is a decentralized vector database for building vector search applications powered by Warp Contracts on the Arweave network. Offers a robust set of tools for the development of various applications, including recommendation systems and semantic search functionalities.



## Search Engines

- [Elastic Search](https://www.elastic.co/) - Elasticsearch is a versatile and powerful tool for searching, analyzing, and visualizing data. Its flexibility and scalability make it a valuable asset for organizations dealing with diverse data sources and analytical requirements.

- [Apache Solr](https://solr.apache.org/) - Apache Solr is an open-source search platform built on Apache Lucene. It is designed for indexing, searching, and analyzing large volumes of text data efficiently. 



## Blogs

- [Exploring the Diversity of Database](https://medium.com/@prasannabrabourame/exploring-the-diversity-of-database-types-and-their-ideal-use-cases-821c1fd642d5) - Exploring the Diversity of Database Types and Their Ideal Use Cases



## Research Papers



- [DB-Readings](https://github.com/rxin/db-readings) - A list of papers essential to understanding databases and building new data systems.



## Contribute



Contributions welcome! Read the [contribution guidelines](contributing.md) first.