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DBMS > IBM Cloudant vs. IBM Db2 Event Store vs. MonetDB vs. Spark SQL

System Properties Comparison IBM Cloudant vs. IBM Db2 Event Store vs. MonetDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMonetDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBDistributed Event Store optimized for Internet of Things use casesA relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2-event-storewww.monetdb.orgspark.apache.org/­sql
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.ibm.com/­docs/­en/­db2-event-storewww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMMonetDB BVApache Software Foundation
Initial release2010201720042014
Current release2.0Dec2023 (11.49), December 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoMozilla Public License 2.0Open 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 and C++CScala
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyes infoSQL 2003 with some extensionsSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
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
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesyes, in SQL, C, Rno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
IBM CloudantIBM Db2 Event StoreMonetDBSpark SQL
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