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DBMS > Ehcache vs. Microsoft Azure Table Storage vs. Quasardb vs. Spark SQL vs. Trafodion

System Properties Comparison Ehcache vs. Microsoft Azure Table Storage vs. Quasardb vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely adopted Java cache with tiered storage optionsA Wide Column Store for rapid development using massive semi-structured datasetsDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeWide column storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.ehcache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesquasar.aispark.apache.org/­sqltrafodion.apache.org
Technical documentationwww.ehcache.org/­documentationdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperTerracotta Inc, owned by Software AGMicrosoftquasardbApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20092012200920142014
Current release3.10.0, March 20223.14.1, January 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaC++, Java
Server operating systemsAll OS with a Java VMhostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nonononono
Secondary indexesnonoyes infowith tagsnoyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJCacheRESTful HTTP APIHTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJava.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonononoJava Stored Procedures
Triggersyes infoCache Event Listenersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with selectable replication factornoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceoptimistic lockingACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modenono
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard

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More resources
EhcacheMicrosoft Azure Table StorageQuasardbSpark SQLTrafodion
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