PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It has native programming interfaces for most of the programming language. 

 An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance.

PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It has native programming interfaces for most of the programming language.

PostgreSQL -  Powerful, Open Source Object-Relational Database System

CUBRID is a relational database management system highly optimized for Web Applications, especially when complex web services process large amount of data and generate huge concurrent requests. CUBRID is being developed in C/C++. Includes HA, online incremental backup, Replication, Load balancing, Sharding, Caching and other features. It supports JDBC, PHP, ODBC/.NET, Ruby & Python APIs.

CUBRID - RDBMS Optimized for Web

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

TiDB is a distributed SQL database. Inspired by the design of Google F1 and Google Spanner, TiDB supports the best features of both traditional RDBMS and NoSQL. It is horizontally scalable, grow TiDB as your business grows. You can increase the capacity simply by adding more machines.
 
Think of TiDB as a single-machine RDBMS. You can start a transaction that crosses multiple machines without worrying about consistency. TiDB makes your application code simple and robust. 
 
It is compatible with MySQL, you can replace MySQL with TiDB to power your application without changing a single line of code in most cases. TiDB supports many popular storage engines in single-machine mode. You can choose from GolevelDB, LevelDB, RocksDB, LMDB, BoltDB and even more to come.

TiDB is a distributed SQL database. Inspired by the design of Google F1 and Google Spanner, TiDB supports the best features of both traditional RDBMS and NoSQL. It is horizontally scalable, grow TiDB as your business grows. You can increase the capacity simply by adding more machines.

TiDB - Distributed NewSQL database compatible with MySQL protocol 

ActorDB is ideal as a server side database for apps. Think of running a large mail service, dropbox, evernote, etc. They all require server side storage for user data, but the vast majority of queries is within a specific user. With many users, the server side database can get very large. Using ActorDB you can keep a full relational database for every user and not be forced into painful scaling strategies that require you to throw away everything that makes relational databases good.
 
ActorDB is
<ul>
<li>A distributed relational SQL database.</li>
<li>Consistent (not eventually consistent).</li>
<li>Distributed.</li>
<li>Redundant.</li>
<li>Massively concurrent.</li>
<li>No single point of failure.</li>
<li>ACID.</li>
<li>Connectable over MySQL protocol and <a href="https://github.com/biokoda/actordb/blob/master/adbt.thrift">Thrift</a>.</li>
<li>Replicated safely using the Raft distributed consensus algorithm.</li>
</ul>

ActorDB is ideal as a server side database for apps. Think of running a large mail service, dropbox, evernote, etc. They all require server side storage for user data, but the vast majority of queries is within a specific user. With many users, the server side database can get very large. Using ActorDB you can keep a full relational database for every user and not be forced into painful scaling strategies that require you to throw away everything that makes relational databases good.

ActorDB -  Distributed SQL database with linear scalability 

Percona Server is an enhanced drop-in replacement for MySQL. With Percona Server, Your queries will run faster and more consistently. You will consolidate servers on powerful hardware. You will delay sharding, or avoid it entirely. You will save money on hosting fees and power. You will spend less time tuning and administering. You will achieve higher uptime. You will troubleshoot without guesswork.

Percona Server - Enhanced Drop-in Replacement for MySQL

MyRocks is a Facebook's branch of the Oracle MySQL v5.6 database. It has 2x better compression compared to compressed InnoDB, 3-4x better compression compared to uncompressed InnoDB, meaning you use less space.MyRocks has a 10x less write amplification compared to InnoDB, giving you better endurance of flash storage and improving overall throughput.

MyRocks - Facebook's branch of the Oracle MySQL v5.6 database

Drizzle is a  database optimized for Cloud infrastructure and Web applications. It is designed for massive concurrency on modern multi-cpu architecture. Its memory usage is optimized for increased performance and parallelism. The Drizzle team has removed non-essential code, re-factored the remaining code into a plugin-based architecture and modernized the code base moving to C++.

Drizzle - Database optimized for Cloud

MariaDB is a database server that offers drop-in replacement functionality for MySQL. MariaDB is built by some of the original authors of MySQL, with assistance from the broader community of Free and open source software developers. In addition to the core functionality of MySQL, MariaDB offers a rich set of feature enhancements including alternate storage engines, server optimizations, and patches.

MariaDB - Drop-in Replacement for MySQL

An open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables. PipelineDB stores only the output of continuous queries, which are incrementally updated as data is ingested. The database’s size is independent of the amount of data ingested over time. It is built into the PostgreSQL core and can be used as a drop in replacement for PostgreSQL without making any application code changes.

PipelineDB - The Streaming SQL Database

PolarDB for PostgreSQL (PolarDB for short) is an open-source database system based on PostgreSQL. It extends PostgreSQL to become a share-nothing distributed database, which supports global data consistency and ACID across database nodes, distributed SQL processing, and data redundancy and high availability through Paxos based replication. PolarDB is designed to add values and new features to PostgreSQL in dimensions of high performance, scalability, high availability, and elasticity. At the same time, PolarDB remains SQL compatibility to standalone PostgreSQL with the best effort.
 
PolarDB will evolve and offer its functions and features in two major parts: an extension and a patch to PostgreSQL. The extension part includes components implemented outside the PostgreSQL kernel, such as distributed transaction management, global or distributed time service, distributed SQL processing, additional metadata, internal functions, and tools to manage database clusters and conduct fault tolerance or recovery. Having most of its functions in a PostgreSQL extension, PolarDB targets easy upgrading, easy migration, and fast adoption. The patch part includes the changes necessary to the kernel, such as distributed MVCC for different isolation levels. We expect functions and codes in the patch part is limited. As a result, PolarDB can be easily upgraded with newer PostgreSQL versions and maintained full compatibility with PostgreSQL.

PolarDB for PostgreSQL (PolarDB for short) is an open-source database system based on PostgreSQL. It extends PostgreSQL to become a share-nothing distributed database, which supports global data consistency and ACID across database nodes, distributed SQL processing, and data redundancy and high availability through Paxos based replication.

PolarDB - Share-nothing, Distributed database based on PostgreSQL

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PostgreSQL - Powerful, Open Source Object-Relational Database System