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DBMS > Ehcache vs. Geode vs. Postgres-XL vs. Rockset

System Properties Comparison Ehcache vs. Geode vs. Postgres-XL vs. Rockset

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeode  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRockset  Xexclude from comparison
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 processesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.ehcache.orggeode.apache.orgwww.postgres-xl.orgrockset.com
Technical documentationwww.ehcache.org/­documentationgeode.apache.org/­docswww.postgres-xl.org/­documentationdocs.rockset.com
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.Rockset
Initial release200920022014 infosince 2012, originally named StormDB2019
Current release3.10.0, March 20221.1, February 201710 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMozilla public licensecommercial
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 languageJavaJavaCC++
Server operating systemsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 functionalityno infoingestion from XML files supported
Secondary indexesnonoyesall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language (OQL)yes infodistributed, parallel query executionRead-only SQL queries, including JOINs
APIs and other access methodsJCacheJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesJava.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersyes infoCache Event Listenersyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardinghorizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
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 nodeACID infoMVCCno
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 definablefine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
EhcacheGeodePostgres-XLRockset
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