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DBMS > Hypertable vs. IBM Db2 vs. Kinetica vs. OmniSci

System Properties Comparison Hypertable vs. IBM Db2 vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopCommon in IBM host environments, 2 different versions for host and Windows/LinuxGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score171.56
Rank#6  Overall
#5  Relational DBMS
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitewww.ibm.com/­analytics/­us/­en/­db2www.kinetica.comwww.omnisci.com
Technical documentationwww.ibm.com/­support/­knowledgecenter/­SSEPGGwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperHypertable Inc.IBMKineticaMapD Technologies, Inc.
Initial release20091983 infohost version20122016
Current release0.9.8.11, March 201612.1, October 20166.0V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infofree version is availablecommercialOpen Source infoApache Version 2; enterprise edition available
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 languageC++C and C++C, C++C++ and CUDA
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
Solaris
Windows
z/OS
LinuxLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes
APIs and other access methodsC++ API
Thrift
JSON style queries infoMongoDB compatible
XQuery
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyes infowith separate tools (MQ, InfoSphere)Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
HypertableIBM Db2 infoformerly named DB2 or IBM Database 2KineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Conferences and events

IDUG Db2 Tech Conference Europe 2019
Rotterdam, Netherlands, 29-24 October 2019

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