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DBMS > Ehcache vs. OpenQM vs. Spark SQL

System Properties Comparison Ehcache vs. OpenQM vs. Spark SQL

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsQpenQM is a high-performance, self-tuning, multi-value DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.ehcache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmspark.apache.org/­sql
Technical documentationwww.ehcache.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperTerracotta Inc, owned by Software AGRocket Software, originally Martin PhillipsApache Software Foundation
Initial release200919932014
Current release3.10.0, March 20223.4-123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyes
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements
APIs and other access methodsJCacheJDBC
ODBC
Supported programming languagesJava.Net
Basic
C
Java
Objective C
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serveryesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelno

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More resources
EhcacheOpenQM infoalso called QMSpark SQL
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