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DBMS > IBM Db2 Event Store vs. OpenQM vs. PostgreSQL vs. Trafodion

System Properties Comparison IBM Db2 Event Store vs. OpenQM vs. PostgreSQL vs. Trafodion

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTransactional SQL-on-Hadoop DBMS
Primary database modelEvent Store
Time Series DBMS
Multivalue DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.postgresql.orgtrafodion.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.postgresql.org/­docstrafodion.apache.org/­documentation.html
DeveloperIBMRocket Software, originally Martin PhillipsPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation, originally developed by HP
Initial release201719931989 info1989: Postgres, 1996: PostgreSQL2014
Current release2.03.4-1216.2, February 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyes infostandard with numerous extensionsyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Procedures
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyespartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesSource-replica replication infoother methods possible by using 3rd party extensionsyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
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