DBMS > Atos Standard Common Repository vs. IBM Db2 Event Store vs. RDF4J vs. SAP Advantage Database Server

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 Event Store vs. RDF4J vs. SAP Advantage Database Server

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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	RDF4J formerly known as Sesame  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded 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	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Document store Key-value store	Event Store Time Series DBMS	RDF store	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 0.74 Rank #222   Overall #9   RDF stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ibm.com/­products/­db2-event-store	rdf4j.org	www.sap.com/products/advantage-database-server.html
Technical documentation		www.ibm.com/­docs/­en/­db2-event-store	rdf4j.org/­documentation
Developer	Atos Convergence Creators	IBM	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.	Sybase, SAP
Initial release	2016	2017	2004	1993
Current release	1703	2.0
License Commercial or Open Source	commercial	commercial free developer edition available	Open Source Eclipse Distribution License (EDL), v1.0.	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	C and C++	Java
Server operating systems	Linux	Linux Linux, macOS, Windows for the developer addition	Linux OS X Unix Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes RDF Schemas	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
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	yes through the embedded Spark runtime	no	yes
APIs and other access methods	LDAP	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL	.NET Client API ADO.NET JDBC ODBC OLE DB
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	Java PHP Python	Delphi Perl PHP
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	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Active-active shard replication	none	Multi-source replication CONFLICT Trigger to resolve replication conflicts 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	Eventual Consistency		Immediate Consistency
Foreign keys Referential integrity	no	no		yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID Isolation support depends on the API used	ACID
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 in-memory storage is supported as well	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes		no caching of (temporary) tables can be configured
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	IBM Db2 Event Store	RDF4J formerly known as Sesame	SAP Advantage Database Server former name: Sybase ADS
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	GraphDB Goes Open Source 27 January 2020, iProgrammer Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer 13 June 2019, Markets Insider provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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