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DBMS > IBM Cloudant vs. Kinetica vs. Oracle NoSQL vs. Prometheus

System Properties Comparison IBM Cloudant vs. Kinetica vs. Oracle NoSQL vs. Prometheus

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen-source Time Series DBMS and monitoring system
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.ibm.com/­products/­cloudantwww.kinetica.comwww.oracle.com/­database/­nosql/­technologies/­nosqlprometheus.io
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.kinetica.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlprometheus.io/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaOracle
Initial release2010201220112015
Current release7.1, August 202123.3, December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0
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, C++JavaGo
Server operating systemshostedLinuxLinux
Solaris SPARC/x86
Linux
Windows
Data schemeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or datenoyesoptionalNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptuser defined functionsnono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infodepending on configuration
none
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
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.noyes infoGPU vRAM or System RAMyes infooff heap cacheno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and roles on table levelAccess rights for users and rolesno

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More resources
IBM CloudantKineticaOracle NoSQLPrometheus
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