DBMS > Atos Standard Common Repository vs. FeatureBase vs. Infobright vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. FeatureBase vs. Infobright vs. TimesTen

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	FeatureBase  Xexclude from comparison	Infobright  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	Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	In-Memory RDBMS compatible to Oracle
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.31 Rank #292   Overall #135   Relational DBMS	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.featurebase.com	ignitetech.com/­softwarelibrary/­infobrightdb	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation		docs.featurebase.com		docs.oracle.com/­database/­timesten-18.1
Developer	Atos Convergence Creators	Molecula and Pilosa Open Source Contributors	Ignite Technologies Inc.; formerly InfoBright Inc.	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2016	2017	2005	1998
Current release	1703	2022, May 2022		11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	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	Go	C
Server operating systems	Linux	Linux macOS	Linux Windows	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	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	no Knowledge Grid Technology used instead	yes
SQL Support of SQL	no	SQL queries	yes	yes
APIs and other access methods	LDAP	gRPC JDBC Kafka Connector ODBC	ADO.NET JDBC ODBC	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	Java Python	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C C++ Java PL/SQL
Server-side scripts Stored procedures	no		no	PL/SQL
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Source-replica replication	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods			no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		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	yes	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes, using Linux fsync	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	yes
User concepts Access control	LDAP bind authentication		fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	FeatureBase	Infobright	TimesTen
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Get Your Infrastructure Ready for Real-Time Analytics 9 March 2022, Built In Pilosa: A Scalable High Performance Bitmap Database Index 17 June 2019, hackernoon.com The 10 Coolest Big Data Tools Of 2021 7 December 2021, CRN 32 Data and Analytics Startups That Will Go Big, According to VCs 28 September 2021, Business Insider provided by Google News

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