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DBMS > DataFS vs. Greenplum vs. Hive vs. LevelDB vs. RDF4J

System Properties Comparison DataFS vs. Greenplum vs. Hive vs. LevelDB vs. RDF4J

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGreenplum  Xexclude from comparisonHive  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.Analytic 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.data warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSKey-value storeRDF store
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitenewdatabase.comgreenplum.orghive.apache.orggithub.com/­google/­leveldbrdf4j.org
Technical documentationdev.mobiland.com/­Overview.xspdocs.greenplum.orgcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperMobiland AGPivotal Software Inc.Apache Software Foundation infoinitially developed by FacebookGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20182005201220112004
Current release1.1.263, October 20227.0.0, September 20233.1.3, April 20221.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsWindowsLinuxAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infosince Version 4.2no
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsnono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
JDBC
ODBC
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C#
C++
VB.Net
C
Java
Perl
Python
R
C++
Java
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyes
Triggersno, except callback-events from server when changes happenedyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardAccess rights for users, groups and rolesnono

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More resources
DataFSGreenplumHiveLevelDBRDF4J infoformerly known as Sesame
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