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DBMS > IBM Db2 Event Store vs. Kdb vs. Stardog vs. Trafodion

System Properties Comparison IBM Db2 Event Store vs. Kdb vs. Stardog vs. Trafodion

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonStardog  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 casesHigh performance Time Series DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTransactional SQL-on-Hadoop DBMS
Primary database modelEvent Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.ibm.com/­products/­db2-event-storekx.comwww.stardog.comtrafodion.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storecode.kx.comdocs.stardog.comtrafodion.apache.org/­documentation.html
DeveloperIBMKx Systems, a division of First Derivatives plcStardog-UnionApache Software Foundation, originally developed by HP
Initial release20172000 infokdb was released 2000, kdb+ in 200320102014
Current release2.03.6, May 20187.3.0, May 20202.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infofree 32-bit versioncommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen 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++qJavaC++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno infoImport/export of XML data possibleno
Secondary indexesnoyes infotable attribute 'grouped'yes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query language (q)Yes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
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
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions and aggregates, HTTP Server extensions in JavaJava Stored Procedures
Triggersnoyes infowith viewsyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationMulti-source replication in HA-Clusteryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
IBM Db2 Event StoreKdbStardogTrafodion
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
IBM Db2 Event StoreKdbStardogTrafodion
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