DBMS > Atos Standard Common Repository vs. IBM Db2 Event Store vs. Stardog vs. STSdb

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 Event Store vs. Stardog vs. STSdb

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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	Stardog  Xexclude from comparison	STSdb  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	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Document store Key-value store	Event Store Time Series DBMS	Graph DBMS RDF store	Key-value store
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 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores	Score 0.10 Rank #357   Overall #51   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ibm.com/­products/­db2-event-store	www.stardog.com	github.com/­STSSoft/­STSdb4
Technical documentation		www.ibm.com/­docs/­en/­db2-event-store	docs.stardog.com
Developer	Atos Convergence Creators	IBM	Stardog-Union	STS Soft SC
Initial release	2016	2017	2010	2011
Current release	1703	2.0	7.3.0, May 2020	4.0.8, September 2015
License Commercial or Open Source	commercial	commercial free developer edition available	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students	Open Source GPLv2, 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++	Java	C#
Server operating systems	Linux	Linux Linux, macOS, Windows for the developer addition	Linux macOS Windows	Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free and OWL/RDFS-schema support	yes
Typing predefined data types such as float or date	optional	yes	yes	yes primitive types and user defined types (classes)
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 Import/export of XML data possible
Secondary indexes	yes	no	yes supports real-time indexing in full-text and geospatial	no
SQL Support of SQL	no	yes through the embedded Spark runtime	Yes, compatible with all major SQL variants through dedicated BI/SQL Server	no
APIs and other access methods	LDAP	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	GraphQL query language HTTP API Jena RDF API OWL RDF4J API Sesame REST HTTP Protocol SNARL SPARQL Spring Data Stardog Studio TinkerPop 3	.NET Client API
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	.Net Clojure Groovy Java JavaScript Python Ruby	C# Java
Server-side scripts Stored procedures	no	yes	user defined functions and aggregates, HTTP Server extensions in Java	no
Triggers	yes	no	yes via event handlers	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	Active-active shard replication	Multi-source replication in HA-Cluster	none
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 in HA-Cluster
Foreign keys Referential integrity	no	no	yes relationships in graphs	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	No - written data is immutable	yes	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	Access rights for users and roles	no
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More resources
	Atos Standard Common Repository	IBM Db2 Event Store	Stardog	STSdb
Recent citations in the news		Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com IBM Builds New Ultra-Fast Platform for Hoovering Up and Analyzing Data from Anywhere 31 May 2018, Data Center Knowledge How IBM Is Turning Db2 into an 'AI Database' 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro provided by Google News

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