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DBMS > IBM Cloudant vs. mSQL vs. Oracle Rdb vs. Postgres-XL vs. Spark SQL

System Properties Comparison IBM Cloudant vs. mSQL vs. Oracle Rdb vs. Postgres-XL vs. Spark SQL

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBmSQL (Mini SQL) is a simple and lightweight RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.ibm.com/­products/­cloudanthughestech.com.au/­products/­msqlwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.postgres-xl.orgspark.apache.org/­sql
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Hughes TechnologiesOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release2010199419842014 infosince 2012, originally named StormDB2014
Current release4.4, October 20217.4.1.1, 202110 R1, October 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedcommercialOpen Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangCCScala
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
HP Open VMSLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
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.nononoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesyes infodistributed, parallel query executionSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnouser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoyes, on a single nodeACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingnoyesyesyes
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.nonononono
User concepts infoAccess controlAccess rights for users can be defined per databasenofine grained access rights according to SQL-standardno

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More resources
IBM CloudantmSQL infoMini SQLOracle RdbPostgres-XLSpark SQL
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