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DBMS > Ehcache vs. Hypertable vs. LeanXcale

System Properties Comparison Ehcache vs. Hypertable vs. LeanXcale

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHypertable  Xexclude from comparisonLeanXcale  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 optionsAn open source BigTable implementation based on distributed file systems such as HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelKey-value storeWide column storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitewww.ehcache.orgwww.leanxcale.com
Technical documentationwww.ehcache.org/­documentation
DeveloperTerracotta Inc, owned by Software AGHypertable Inc.LeanXcale
Initial release200920092015
Current release3.10.0, March 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnonoyes infothrough Apache Derby
APIs and other access methodsJCacheC++ API
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresnono
Triggersyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID
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.yesyes
User concepts infoAccess controlnono

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More resources
EhcacheHypertableLeanXcale
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