DBMS > IBM Db2 Event Store vs. Oracle Rdb vs. SAP Advantage Database Server vs. TimesTen

System Properties Comparison IBM Db2 Event Store vs. Oracle Rdb vs. SAP Advantage Database Server vs. TimesTen

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Editorial information provided by DB-Engines
Name	IBM Db2 Event Store  Xexclude from comparison	Oracle Rdb  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	TimesTen  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Distributed Event Store optimized for Internet of Things use cases		Low-cost RDBMS with access to ISAM and FoxPro data structures	In-Memory RDBMS compatible to Oracle
Primary database model	Event Store Time Series DBMS	Relational DBMS	Relational DBMS	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 1.14 Rank #178   Overall #80   Relational DBMS		Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	www.ibm.com/­products/­db2-event-store	www.oracle.com/­database/­technologies/­related/­rdb.html	www.sap.com/products/advantage-database-server.html	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation	www.ibm.com/­docs/­en/­db2-event-store	www.oracle.com/­database/­technologies/­related/­rdb-doc.html		docs.oracle.com/­database/­timesten-18.1
Developer	IBM	Oracle, originally developed by Digital Equipment Corporation (DEC)	Sybase, SAP	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2017	1984	1993	1998
Current release	2.0	7.4.1.1, 2021		11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial free developer edition available	commercial	commercial	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	C and C++
Server operating systems	Linux Linux, macOS, Windows for the developer addition	HP Open VMS	Linux Windows	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	yes	Flexible Schema (defined schema, partial schema, schema free)	yes	yes
Typing predefined data types such as float or date	yes	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.	no	no	no	no
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	yes through the embedded Spark runtime	yes	yes	yes
APIs and other access methods	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API		.NET Client API ADO.NET JDBC ODBC OLE DB	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic		Delphi Perl PHP	C C++ Java PL/SQL
Server-side scripts Stored procedures	yes		yes	PL/SQL
Triggers	no		yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding		none	none
Replication methods Methods for redundantly storing data on multiple nodes	Active-active shard replication		Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	yes	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	yes, on a single node	ACID	ACID
Concurrency Support for concurrent manipulation of data	No - written data is immutable	yes	yes	yes
Durability Support for making data persistent	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no caching of (temporary) tables can be configured	yes
User concepts Access control	fine grained access rights according to SQL-standard		fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	IBM Db2 Event Store	Oracle Rdb	SAP Advantage Database Server former name: Sybase ADS	TimesTen
Recent citations in the news	Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, IBM 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	Oracle Adds New AI-Enabling Features To MySQL HeatWave 23 March 2023, Forbes Should we all consolidate databases for the storage benefits? Reg vultures deploy DevOps, zoos, haircuts 18 September 2020, The Register 2013 Data Science Salary Survey – O'Reilly 4 May 2013, O'Reilly Media 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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