DBMS > Atos Standard Common Repository vs. Drizzle vs. Percona Server for MongoDB vs. Postgres-XL vs. ToroDB

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. Percona Server for MongoDB vs. Postgres-XL vs. ToroDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Drizzle  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	Postgres-XL  Xexclude from comparison	ToroDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.			ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database model	Document store Key-value store	Relational DBMS	Document store	Relational DBMS	Document store
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart			Score 0.60 Rank #246   Overall #39   Document stores	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.postgres-xl.org	github.com/­torodb/­server
Technical documentation			docs.percona.com/­percona-distribution-for-mongodb	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	Drizzle project, originally started by Brian Aker	Percona		8Kdata
Initial release	2016	2008	2015	2014 since 2012, originally named StormDB	2016
Current release	1703	7.2.4, September 2012	3.4.10-2.10, November 2017	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source GNU GPL	Open Source GPL Version 2	Open Source Mozilla public license	Open Source AGPL-V3
Cloud-based only Only available as a cloud service	no	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++	C++	C	Java
Server operating systems	Linux	FreeBSD Linux OS X	Linux	Linux macOS	All OS with a Java 7 VM
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	yes	yes string, integer, double, boolean, date, object_id
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes		no	yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes with proprietary extensions	no	yes distributed, parallel query execution
APIs and other access methods	LDAP	JDBC	proprietary protocol using JSON	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C C++ Java PHP	Actionscript C C# C++ Clojure ColdFusion D Dart Delphi Erlang Go Groovy Haskell Java JavaScript Lisp Lua MatLab Perl PHP PowerShell Prolog Python R Ruby Scala Smalltalk	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	no	JavaScript	user defined functions
Triggers	yes	no hooks for callbacks inside the server can be used.	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication Source-replica replication	Source-replica replication		Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Eventual Consistency Immediate Consistency	Immediate Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	ACID MVCC	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		yes via In-Memory Engine	no
User concepts Access control	LDAP bind authentication	Pluggable authentication mechanisms e.g. LDAP, HTTP	Access rights for users and roles	fine grained access rights according to SQL-standard	Access rights for users and roles
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More resources
	Atos Standard Common Repository	Drizzle	Percona Server for MongoDB	Postgres-XL	ToroDB
DB-Engines blog posts		MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
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