DBMS > Atos Standard Common Repository vs. Cachelot.io vs. EsgynDB vs. Infobright

System Properties Comparison Atos Standard Common Repository vs. Cachelot.io vs. EsgynDB vs. Infobright

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Cachelot.io  Xexclude from comparison	EsgynDB  Xexclude from comparison	Infobright  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	In-memory caching system	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.04 Rank #388   Overall #62   Key-value stores	Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 1.02 Rank #192   Overall #90   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	cachelot.io	www.esgyn.cn	ignitetech.com/­softwarelibrary/­infobrightdb
Developer	Atos Convergence Creators		Esgyn	Ignite Technologies Inc.; formerly InfoBright Inc.
Initial release	2016	2015	2015	2005
Current release	1703
License Commercial or Open Source	commercial	Open Source Simplified BSD License	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
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++	C++, Java	C
Server operating systems	Linux	FreeBSD Linux OS X	Linux	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	no	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	no
Secondary indexes	yes	no	yes	no Knowledge Grid Technology used instead
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	LDAP	Memcached protocol	ADO.NET JDBC ODBC	ADO.NET JDBC ODBC
Supported programming languages	All languages with LDAP bindings	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml OCaml Perl PHP Python Ruby	All languages supporting JDBC/ODBC/ADO.Net	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl
Server-side scripts Stored procedures	no	no	Java Stored Procedures	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Multi-source replication between multi datacenters	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	none	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	no	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	yes
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities
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