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DBMS > H2 vs. Kinetica vs. LeanXcale

System Properties Comparison H2 vs. Kinetica vs. LeanXcale

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonKinetica  Xexclude from comparisonLeanXcale  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 CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Websitewww.h2database.comwww.kinetica.comwww.leanxcale.com
Technical documentationwww.h2database.com/­html/­main.htmldocs.kinetica.com
DeveloperThomas MuellerKineticaLeanXcale
Initial release200520122015
Current release2.2.220, July 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemsAll OS with a Java VMLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infothrough Apache Derby
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
C
Java
Scala
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
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 level

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More resources
H2KineticaLeanXcale
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