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DBMS > Ehcache vs. Hyprcubd vs. Postgres-XL

System Properties Comparison Ehcache vs. Hyprcubd vs. Postgres-XL

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHyprcubd  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsServerless Time Series DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.ehcache.orghyprcubd.com (offline)www.postgres-xl.org
Technical documentationwww.ehcache.org/­documentationwww.postgres-xl.org/­documentation
DeveloperTerracotta Inc, owned by Software AGHyprcubd, Inc.
Initial release20092014 infosince 2012, originally named StormDB
Current release3.10.0, March 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnonoyes
SQL infoSupport of SQLnoSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsJCachegRPC (https)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions
Triggersyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual 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 infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesnoyes
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.yesnono
User concepts infoAccess controlnotoken accessfine grained access rights according to SQL-standard

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More resources
EhcacheHyprcubdPostgres-XL
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