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DBMS > DataFS vs. Ehcache vs. Greenplum vs. Hazelcast

System Properties Comparison DataFS vs. Ehcache vs. Greenplum vs. Hazelcast

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEhcache  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A widely adopted Java cache with tiered storage optionsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely adopted in-memory data grid
Primary database modelObject oriented DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitenewdatabase.comwww.ehcache.orggreenplum.orghazelcast.com
Technical documentationdev.mobiland.com/­Overview.xspwww.ehcache.org/­documentationdocs.greenplum.orghazelcast.org/­imdg/­docs
DeveloperMobiland AGTerracotta Inc, owned by Software AGPivotal Software Inc.Hazelcast
Initial release2018200920052008
Current release1.1.263, October 20223.10.0, March 20227.0.0, September 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsWindowsAll OS with a Java VMLinuxAll OS with a Java VM
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosince Version 4.2yes infothe object must implement a serialization strategy
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JCacheJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
JavaC
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Services
Triggersno, except callback-events from server when changes happenedyes infoCache Event Listenersyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyesnoyes
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardRole-based access control

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DataFSEhcacheGreenplumHazelcast
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