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DBMS > IBM Cloudant vs. JaguarDB vs. Kinetica vs. Microsoft Azure Table Storage vs. PlanetScale

System Properties Comparison IBM Cloudant vs. JaguarDB vs. Kinetica vs. Microsoft Azure Table Storage vs. PlanetScale

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applicationsFully vectorized database across both GPUs and CPUsA Wide Column Store for rapid development using massive semi-structured datasetsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument storeKey-value store
Vector DBMS
Relational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.jaguardb.comwww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tablesplanetscale.com
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.htmldocs.kinetica.complanetscale.com/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.KineticaMicrosoftPlanetScale
Initial release20102015201220122020
Current release3.3 July 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++ infothe server part. Clients available in other languagesC, C++Go
Server operating systemshostedLinuxLinuxhostedDocker
Linux
macOS
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnouser defined functionsnoyes infoproprietary syntax
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenonooptimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaserights management via user accountsAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or roles

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More resources
IBM CloudantJaguarDBKineticaMicrosoft Azure Table StoragePlanetScale
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