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DBMS > Ehcache vs. IBM Cloudant vs. Realm vs. Spark SQL

System Properties Comparison Ehcache vs. IBM Cloudant vs. Realm vs. Spark SQL

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDatabase as a Service offering based on Apache CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.75
Rank#104  Overall
#19  Document stores
Score7.41
Rank#52  Overall
#8  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.ehcache.orgwww.ibm.com/­products/­cloudantrealm.iospark.apache.org/­sql
Technical documentationwww.ehcache.org/­documentationcloud.ibm.com/­docs/­Cloudantrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperTerracotta Inc, owned by Software AGIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Realm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2009201020142014
Current release3.10.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangScala
Server operating systemsAll OS with a Java VMhostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsJCacheRESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesJavaC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptno inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes infoCache Event Listenersyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmno
User concepts infoAccess controlnoAccess rights for users can be defined per databaseyesno

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EhcacheIBM CloudantRealmSpark SQL
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