DBMS > Atos Standard Common Repository vs. IBM Db2 Event Store vs. ITTIA vs. OpenQM

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 Event Store vs. ITTIA vs. OpenQM

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	ITTIA  Xexclude from comparison	OpenQM also called QM  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	Distributed Event Store optimized for Internet of Things use cases	Edge Time Series DBMS with Real-Time Stream Processing	QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database model	Document store Key-value store	Event Store Time Series DBMS	Time Series DBMS	Multivalue DBMS
Secondary database models			Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.44 Rank #267   Overall #23   Time Series DBMS	Score 0.34 Rank #284   Overall #10   Multivalue DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ibm.com/­products/­db2-event-store	www.ittia.com	www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentation		www.ibm.com/­docs/­en/­db2-event-store
Developer	Atos Convergence Creators	IBM	ITTIA L.L.C.	Rocket Software, originally Martin Phillips
Initial release	2016	2017	2007	1993
Current release	1703	2.0	8.7	3.4-12
License Commercial or Open Source	commercial	commercial free developer edition available	commercial	Open Source GPLv2, extended commercial license available
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 and C++	C and C++
Server operating systems	Linux	Linux Linux, macOS, Windows for the developer addition	Linux Windows	AIX FreeBSD Linux macOS Raspberry Pi Solaris Windows
Data scheme	Schema and schema-less with LDAP views	yes	Fixed schema	yes with some exceptions
Typing predefined data types such as float or date	optional	yes	Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval
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	yes
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	yes through the embedded Spark runtime	yes	no
APIs and other access methods	LDAP	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	JDBC ODBC RESTful HTTP API WebSocket
Supported programming languages	All languages with LDAP bindings	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	C C++ JavaScript (Node.js) Python	.Net Basic C Java Objective C PHP Python
Server-side scripts Stored procedures	no	yes	yes	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding		yes
Replication methods Methods for redundantly storing data on multiple nodes	yes	Active-active shard replication	yes	yes
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	Eventual 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	yes	ACID
Concurrency Support for concurrent manipulation of data	yes	No - written data is immutable	yes, multi-version concurrency control (MVCC)	yes
Durability Support for making data persistent	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Database file passwords	Access rights can be defined down to the item level
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More resources
	Atos Standard Common Repository	IBM Db2 Event Store	ITTIA	OpenQM also called QM
Recent citations in the 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	Embedded secured data base for STM32 MCUs 16 October 2023, Electronics Weekly ITTIA Embedded Time Series Database to Support STM32 Edge Devices 8 April 2022, Embedded Computing Design Free Healthcare Data for Use with Maptitude 2019 Mapping Software - GIS user technology news 20 September 2019, GISuser.com provided by Google News

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