DBMS > Atos Standard Common Repository vs. LeanXcale vs. Percona Server for MongoDB vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. LeanXcale vs. Percona Server for MongoDB vs. TimesTen

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	LeanXcale  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	TimesTen  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.	In-Memory RDBMS compatible to Oracle
Primary database model	Document store Key-value store	Key-value store Relational DBMS	Document store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 0.60 Rank #246   Overall #39   Document stores	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.leanxcale.com	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation			docs.percona.com/­percona-distribution-for-mongodb	docs.oracle.com/­database/­timesten-18.1
Developer	Atos Convergence Creators	LeanXcale	Percona	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2016	2015	2015	1998
Current release	1703		3.4.10-2.10, November 2017	11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	commercial	Open Source GPL Version 2	commercial
Cloud-based only Only available as a cloud service	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++
Server operating systems	Linux		Linux	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional		yes	yes
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	no
Secondary indexes	yes		yes	yes
SQL Support of SQL	no	yes through Apache Derby	no	yes
APIs and other access methods	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	proprietary protocol using JSON	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	C Java Scala	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	C C++ Java PL/SQL
Server-side scripts Stored procedures	no		JavaScript	PL/SQL
Triggers	yes		no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes		Source-replica replication	Multi-source 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	Immediate Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes via In-Memory Engine	yes
User concepts Access control	LDAP bind authentication		Access rights for users and roles	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	LeanXcale	Percona Server for MongoDB	TimesTen
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