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

Oracle Berkeley DB provides the best open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model. At its core is a fast, scalable, transactional database engine with proven reliability and availability. Berkeley DB comes three versions: Berkeley DB, Berkeley DB Java Edition, and Berkeley DB XML.

Berkeley DB - Embeddable Databases to Meet Your Needs

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. PostGIS adds extra types (geometry, geography, raster and others) to the PostgreSQL database. It also adds functions, operators, and index enhancements that apply to these spatial types. 
 
 
Its features include 
<ul>
<li>Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying,
and collecting/unioning with the power of SQL</li>
<li>raster map algebra for fine-grained raster processing</li>
<li>Spatial reprojection SQL callable functions for both vector and raster data</li>
<li>Support for importing / exporting ESRI shapefile vector data via both commandline and GUI packaged tools and support for more formats via other 3rd-party Open Source tools</li>
<li>Packaged command-line for importing raster data from many standard formats: GeoTiff, NetCDF, PNG, JPG to name a few</li>
<li>Rendering and importing vector data support functions for standard textual formats such as KML,GML, GeoJSON,GeoHash and WKT using SQL </li>
<li>Rendering raster data in various standard formats GeoTIFF, PNG, JPG, NetCDF, to name a few using SQL</li>
<li>Seamless raster/vector SQL callable functions for extrusion of pixel values by geometric region, running stats by region, clipping rasters by a geometry, and vectorizing rasters</li>
<li>3D object support, spatial index, and functions</li>
<li>Network Topology support</li>
</ul>

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. PostGIS adds extra types (geometry, geography, raster and others) to the PostgreSQL database. It also adds functions, operators, and index enhancements that apply to these spatial types. 

PostGIS - Spatial and Geographic objects for PostgreSQL

Redis is an advanced key-value store. It is similar to memcached but the dataset is not volatile, and values can be strings, exactly like in memcached, but also lists, sets, and ordered sets. All this data types can be manipulated with atomic operations to push/pop elements, add/remove elements, perform server side union, intersection, difference between sets, and so forth. Redis supports different kind of sorting abilities. 
 It is possible to think at Redis as a data structures server, it is not just another key-value DB. Redis supports operations like atomic push and pop of elements on lists, taking ranges of elements from this lists at once, trimming of lists, server-side intersections of sets and even sorting data.

Redis is an advanced key-value store. It is similar to memcached but the dataset is not volatile, and values can be strings, exactly like in memcached, but also lists, sets, and ordered sets. All this data types can be manipulated with atomic operations to push/pop elements, add/remove elements, perform server side union, intersection, difference between sets, and so forth. Redis supports different kind of sorting abilities.

Redis - Advanced key-value store

Citus is a distributed database that scales across commodity servers using transparent sharding and replication. Citus extends the underlying database rather than forking it, giving developers and enterprises the power and familiarity of a relational database. As an extension, Citus supports new PostgreSQL releases, and allows you to benefit from new features while maintaining compatibility with existing PostgreSQL tools.
 
Citus is a PostgreSQL extension and not a fork. It is scalable across multiple machines through sharding and replication. It supports distributed engine for query parallelization.

Citus is a distributed database that scales across commodity servers using transparent sharding and replication. Citus extends the underlying database rather than forking it, giving developers and enterprises the power and familiarity of a relational database. As an extension, Citus supports new PostgreSQL releases, and allows you to benefit from new features while maintaining compatibility with existing PostgreSQL tools.


Citus - Scalable PostgreSQL for multi-tenant and real-time workloads

Membase is an distributed, key-value database management system optimized for storing data behind interactive web applications. These applications must service many concurrent users, creating, storing, retrieving, aggregating, manipulating and presenting data in real-time. Supporting these requirements, membase processes data operations with quasi-deterministic low latency and high sustained throughput. For those familiar with memcached, membase provides on-the-wire protocol compatibility, but adds disk persistence; hierarchical storage management; data replication; live cluster reconfiguration and rebalancing; and secure multi-tenancy with data partitioning. Membase scales elastically, with linear cost. Servers can be added to, or removed from, a running cluster with no application downtime.

Membase is an distributed, key-value database management system optimized for storing data behind interactive web applications. These applications must service many concurrent users, creating, storing, retrieving, aggregating, manipulating and presenting data in real-time. Supporting these requirements, membase processes data operations with quasi-deterministic low latency and high sustained throughput.

membase - distributed key-value database

UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.
 
UnQLite is an embedded NoSQL (Key/Value store and Document-store) database engine. Unlike most other NoSQL databases, UnQLite does not have a separate server process. UnQLite reads and writes directly to ordinary disk files. A complete database with multiple collections, is contained in a single disk file. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures.

UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.

UnQLite - Transactional Embedded NoSQL Database Engine

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

ApsaraCache is based on the Redis official release 4.0 and has many features and performance enhancements. ApsaraCache has proven to be very stable and efficient in production environment. ApsaraCache supports two main protocols of Memcached: the classic ASCII, and the newer binary. You can use ApsaraCache just as Memcached, and no client code need to be modified. You can persist your data by using ApsaraCache in Memcached mode just like Redis.

ApsaraCache - Redis branch originated from Alibaba Group. 

Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint.

Dqlite - High-availability SQLite

TDengine is an open-source big data platform designed and optimized for Internet of Things (IoT), Connected Vehicles, and Industrial IoT. Besides the 10x faster time-series database, it provides caching, stream computing, message queuing and other functionalities to reduce the complexity and costs of development and operations.
 
<ul><li>10x Faster on Insert/Query Speeds: Through the innovative design on storage, on a single-core machine, over 20K requests can be processed, millions of data points can be ingested, and over 10 million data points can be retrieved in a second. It is 10 times faster than other databases.</li><li>1/5 Hardware/Cloud Service Costs: Compared with typical big data solutions, less than 1/5 of computing resources are required. Via column-based storage and tuned compression algorithms for different data types, less than 1/10 of storage space is needed.</li><li>Full Stack for Time-Series Data: By integrating a database with message queuing, caching, and stream computing features together, it is no longer necessary to integrate Kafka/Redis/HBase/Spark or other software. It makes the system architecture much simpler and more robust.</li><li>Powerful Data Analysis: Whether it is 10 years or one minute ago, data can be queried just by specifying the time range. Data can be aggregated over time, multiple time streams or both. Ad Hoc queries or analyses can be executed via TDengine shell, Python, R or Matlab.</li><li>Seamless Integration with Other Tools: Telegraf, Grafana, Matlab, R, and other tools can be integrated with TDengine without a line of code. MQTT, OPC, Hadoop, Spark, and many others will be integrated soon.</li><li>Zero Management, No Learning Curve: It takes only seconds to download, install, and run it successfully; there are no other dependencies. Automatic partitioning on tables or DBs. Standard SQL is used, with C/C++, Python, JDBC, Go and RESTful connectors.</li></ul><div> </div>

TDengine is an open-source big data platform designed and optimized for Internet of Things (IoT), Connected Vehicles, and Industrial IoT. Besides the 10x faster time-series database, it provides caching, stream computing, message queuing and other functionalities to reduce the complexity and costs of development and operations.

TDengine -  Big data platform designed and optimized for the Internet of Things

SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. It is faster than popular client/server database engines. 
 
SQLite is popular choice for the database engine in cellphones, PDAs, MP3 players, set-top boxes, and other electronic gadgets. SQLite has a small code footprint, makes efficient use of memory, disk space, and disk bandwidth, is highly reliable, and requires no maintenance from a Database Administrator.

SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. It is faster than popular client/server database engines. 

Sqlite - SQL database engine

Aerospike is a distributed, scalable NoSQL database. It provides support to create a high-performance, scalable platform that would meet the needs of today's web-scale applications. It supports operational efficiency, robustness and reliability expected from traditional databases.
 
It eliminates complex, costly caching layers commonly used in NoSQL and in-memory solutions. It 
delivers elastic, predictable performance at internet scale via patented Hybrid Memory Architecture.

Aerospike is a distributed, scalable NoSQL database. It provides support to create a high-performance, scalable platform that would meet the needs of today's web-scale applications. It supports operational efficiency, robustness and reliability expected from traditional databases.

Aerospike Database Server – Flash-optimized, in-memory, nosql database

Sophia is RAM-Disk hybrid storage. It is designed to provide best possible on-disk performance without degradation in time. It has guaranteed O(1) worst case complexity for read, write and range scan operations. It provides Full ACID compliancy, MVCC engine, Optimistic, non-blocking concurrency with N-writers and M-readers, Prefix search, Automatic key-expire, Implemented as small C-written library with zero dependencies and lot more.

Sophia - Advanced transactional MVCC key-value/row storage library

MonetDB is a high-performance applications in data mining, OLAP, GIS, XML Query, text and multimedia retrieval. MonetDB often achieves a significant speed improvement for SQL and XQuery over other open-source systems. MonetDB achieves its goal by innovations at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture. Its major features include: 

 <UL>
	<LI>High-performance database management system</LI>
	<LI>Multi-model system</LI>
	<LI>Column-store based database kernel</LI>
	<LI>Broad spectrum database system</LI>
	<LI>Extendable database system</LI>
	<LI>Database back-end is multi-threaded and guards a single physical database instance</LI>
	<LI>Operations are cache- and memory-aware with supreme performance</LI>
	<LI>Index selection, creation and maintenance is automatic</LI>
	<LI>Connectivity is provided through TCP/IP sockets and SSH on many platforms</LI>
	<LI>Could be Embedded</LI>
	<LI>Programming interfaces available in all major languages</LI>
 </UL>

MonetDB is a high-performance SQL- and XQuery- column-store database management system with automatic index management, flexible optimizer infrastructure, and programmable backend functionality.

MonetDB

Discover open source projects across all platforms

Projects

PostgreSQL - Powerful, Open Source Object-Relational Database System