DBMS > Atos Standard Common Repository vs. Ehcache vs. IBM Db2 Event Store vs. Transbase

System Properties Comparison Atos Standard Common Repository vs. Ehcache vs. IBM Db2 Event Store vs. Transbase

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Ehcache  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	Transbase  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 widely adopted Java cache with tiered storage options	Distributed Event Store optimized for Internet of Things use cases	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Document store Key-value store	Key-value store	Event Store Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.64 Rank #68   Overall #8   Key-value stores	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ehcache.org	www.ibm.com/­products/­db2-event-store	www.transaction.de/­en/­products/­transbase.html
Technical documentation		www.ehcache.org/­documentation	www.ibm.com/­docs/­en/­db2-event-store	www.transaction.de/­en/­products/­transbase/­features.html
Developer	Atos Convergence Creators	Terracotta Inc, owned by Software AG	IBM	Transaction Software GmbH
Initial release	2016	2009	2017	1987
Current release	1703	3.10.0, March 2022	2.0	Transbase 8.3, 2022
License Commercial or Open Source	commercial	Open Source Apache Version 2; commercial licenses available	commercial free developer edition available	commercial free development license
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	Java	Java	C and C++	C and C++
Server operating systems	Linux	All OS with a Java VM	Linux Linux, macOS, Windows for the developer addition	FreeBSD Linux macOS Solaris Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	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	yes
SQL Support of SQL	no	no	yes through the embedded Spark runtime	yes
APIs and other access methods	LDAP	JCache	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	All languages with LDAP bindings	Java	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	C C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures	no	no	yes	yes
Triggers	yes	yes Cache Event Listeners	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding by using Terracotta Server	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes by using Terracotta Server	Active-active shard replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Tunable Consistency (Strong, Eventual, Weak)	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes supports JTA and can work as an XA resource	no	yes
Concurrency Support for concurrent manipulation of data	yes	yes	No - written data is immutable	yes
Durability Support for making data persistent	yes	yes using a tiered cache-storage approach	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes	no
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Ehcache	IBM Db2 Event Store	Transbase
Recent citations in the news		Scaling Australia's Most Popular Online News Sites with Ehcache 6 December 2010, InfoQ.com Atlassian asks customers to patch critical Jira vulnerability 22 July 2021, BleepingComputer Critical Jira Flaw in Atlassian Could Lead to RCE 22 July 2021, Threatpost DZone Coding Java JBoss 5 to 7 in 11 steps 9 January 2014, dzone.com provided by Google News	Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com How IBM Is Turning Db2 into an ‘AI Database’ 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer provided by Google News

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