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DBMS > HBase vs. Kdb vs. TimesTen vs. UniData,UniVerse

System Properties Comparison HBase vs. Kdb vs. TimesTen vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKdb  Xexclude from comparisonTimesTen  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMSIn-Memory RDBMS compatible to OracleMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelWide column storeTime Series DBMS
Vector DBMS
Relational DBMSMultivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitehbase.apache.orgkx.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhbase.apache.org/­book.htmlcode.kx.comdocs.oracle.com/­database/­timesten-18.1docs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plcOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Rocket Software
Initial release20082000 infokdb was released 2000, kdb+ in 200319981985
Current release2.3.4, January 20213.6, May 201811 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesoptional
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
Secondary indexesnoyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)yesyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
PL/SQL
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsPL/SQLyes
Triggersyesyes infowith viewsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accountsfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
HBaseKdbTimesTenUniData,UniVerse
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...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
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
» more

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HBaseKdbTimesTenUniData,UniVerse
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