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DBMS > IBM Cloudant vs. IBM Db2 Event Store vs. Kinetica vs. TerarkDB

System Properties Comparison IBM Cloudant vs. IBM Db2 Event Store vs. Kinetica vs. TerarkDB

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBDistributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeEvent Store
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2-event-storewww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMKineticaByteDance, originally Terark
Initial release2010201720122016
Current release2.07.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC and C++C, C++C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 SQLnoyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesuser defined functionsno
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenonono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingNo - 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
IBM CloudantIBM Db2 Event StoreKineticaTerarkDB
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