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DBMS > Greenplum vs. LevelDB vs. Quasardb vs. RDF4J vs. Splice Machine

System Properties Comparison Greenplum vs. LevelDB vs. Quasardb vs. RDF4J vs. Splice Machine

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAnalytic 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeTime Series DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegreenplum.orggithub.com/­google/­leveldbquasar.airdf4j.orgsplicemachine.com
Technical documentationdocs.greenplum.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­masterrdf4j.org/­documentationsplicemachine.com/­how-it-works
DeveloperPivotal Software Inc.GooglequasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice Machine
Initial release20052011200920042014
Current release7.0.0, September 20231.23, February 20213.14.1, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaJava
Server operating systemsLinuxIllumos
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyesyes
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.yes infosince Version 4.2nono
Secondary indexesyesnoyes infowith tagsyesyes
SQL infoSupport of SQLyesnoSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
Perl
Python
R
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoyesyes infoJava
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication with selectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoby using LevelDByes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailnoAccess rights for users, groups and roles according to SQL-standard

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More resources
GreenplumLevelDBQuasardbRDF4J infoformerly known as SesameSplice Machine
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