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DBMS > H2 vs. Kinetica vs. OpenQM vs. Transwarp Hippo

System Properties Comparison H2 vs. Kinetica vs. OpenQM vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Fully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSVector DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitewww.h2database.comwww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.h2database.com/­html/­main.htmldocs.kinetica.com
DeveloperThomas MuellerKineticaRocket Software, originally Martin Phillips
Initial release2005201219932023
Current release2.2.220, July 20237.1, August 20213.4-121.0, May 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoGPLv2, extended commercial license availablecommercial
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 languageJavaC, C++C++
Server operating systemsAll OS with a Java VMLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Data schemeyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesVector, 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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
C++
Java
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsuser defined functionsyesno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights can be defined down to the item levelRole based access control and fine grained access rights

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More resources
H2KineticaOpenQM infoalso called QMTranswarp Hippo
Recent citations in the news

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google News



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