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DBMS > H2 vs. IBM Db2 Event Store vs. Kinetica vs. Oracle Coherence

System Properties Comparison H2 vs. IBM Db2 Event Store vs. Kinetica vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsOracles in-memory data grid solution
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSKey-value store
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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitewww.h2database.comwww.ibm.com/­products/­db2-event-storewww.kinetica.comwww.oracle.com/­java/­coherence
Technical documentationwww.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperThomas MuellerIBMKineticaOracle
Initial release2005201720122007
Current release2.2.220, July 20232.07.1, August 202114.1, August 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C, C++Java
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinuxAll OS with a Java VM
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyesuser defined functionsno
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseActive-active shard replicationSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)No - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authentication

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More resources
H2IBM Db2 Event StoreKineticaOracle Coherence
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