DBMS > Atos Standard Common Repository vs. IBM Db2 Event Store vs. OushuDB vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 Event Store vs. OushuDB vs. RDF4J

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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	OushuDB  Xexclude from comparison	RDF4J formerly known as Sesame  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	A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database model	Document store Key-value store	Event Store Time Series DBMS	Relational DBMS	RDF 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 0.10 Rank #355   Overall #154   Relational DBMS	Score 0.74 Rank #222   Overall #9   RDF stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ibm.com/­products/­db2-event-store	www.oushu.com/­product/­oushuDB	rdf4j.org
Technical documentation		www.ibm.com/­docs/­en/­db2-event-store	www.oushu.com/­documentation	rdf4j.org/­documentation
Developer	Atos Convergence Creators	IBM	Oushu	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release	2016	2017		2004
Current release	1703	2.0	4.0.1, August 2020
License Commercial or Open Source	commercial	commercial free developer edition available	commercial	Open Source Eclipse Distribution License (EDL), v1.0.
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	Java	C and C++		Java
Server operating systems	Linux	Linux Linux, macOS, Windows for the developer addition	Linux	Linux OS X Unix Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes RDF Schemas
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
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	yes through the embedded Spark runtime	Full-featured ANSI SQL support	no
APIs and other access methods	LDAP	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	JDBC ODBC	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL
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++	Java PHP Python
Server-side scripts Stored procedures	no	yes	yes	yes
Triggers	yes	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	yes	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Active-active shard replication		none
MapReduce Offers an API for user-defined Map/Reduce methods		no	Hadoop integration	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency
Foreign keys Referential integrity	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID Isolation support depends on the API used
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 storage is supported as well
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Kerberos, SSL and role based access	no
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More resources
	Atos Standard Common Repository	IBM Db2 Event Store	OushuDB	RDF4J formerly known as Sesame
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