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DBMS > Ehcache vs. Geode vs. Hypertable vs. Microsoft Azure Table Storage

System Properties Comparison Ehcache vs. Geode vs. Hypertable vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeode  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn open source BigTable implementation based on distributed file systems such as HadoopA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeKey-value storeWide column storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitewww.ehcache.orggeode.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.ehcache.org/­documentationgeode.apache.org/­docs
DeveloperTerracotta Inc, owned by Software AGOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hypertable Inc.Microsoft
Initial release2009200220092012
Current release3.10.0, March 20221.1, February 20170.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnonorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnoSQL-like query language (OQL)nono
APIs and other access methodsJCacheJava Client API
Memcached protocol
RESTful HTTP API
C++ API
Thrift
RESTful HTTP API
Supported programming languagesJava.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersyes infoCache Event Listenersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationselectable replication factor on file system levelyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate 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 resourceyes, on a single nodenooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlnoAccess rights per client and object definablenoAccess rights based on private key authentication or shared access signatures

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More resources
EhcacheGeodeHypertableMicrosoft Azure Table Storage
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