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DBMS > IBM Db2 Event Store vs. Kdb vs. Teradata vs. Transwarp Hippo

System Properties Comparison IBM Db2 Event Store vs. Kdb vs. Teradata vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonTeradata  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesHigh performance Time Series DBMSA hybrid cloud data analytics software platform (Teradata Vantage)Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelEvent Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Relational DBMSVector DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.05
Rank#386  Overall
#15  Vector DBMS
Websitewww.ibm.com/­products/­db2-event-storekx.comwww.teradata.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storecode.kx.comdocs.teradata.com
DeveloperIBMKx Systems, a division of First Derivatives plcTeradata
Initial release20172000 infokdb was released 2000, kdb+ in 200319842023
Current release2.03.6, May 2018Teradata Vantage 1.0 MU2, January 20191.0, May 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infofree 32-bit versioncommercialcommercial
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++qC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
hosted
Linux
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.noyesyesno
Secondary indexesnoyes infotable attribute 'grouped'yes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query language (q)yes infoSQL 2016 + extensionsno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
IBM Db2 Event StoreKdbTeradataTranswarp Hippo
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
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 StoreKdbTeradataTranswarp Hippo
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