DBMS > Greenplum vs. OrientDB vs. RDF4J

System Properties Comparison Greenplum vs. OrientDB vs. RDF4J

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Editorial information provided by DB-Engines
Name	Greenplum  Xexclude from comparison	OrientDB  Xexclude from comparison	RDF4J formerly known as Sesame  Xexclude from comparison
Description	Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.	Multi-model DBMS (Document, Graph, Key/Value)	RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database model	Relational DBMS	Document store Graph DBMS Key-value store	RDF store
Secondary database models	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 13.27 Rank #43   Overall #27   Relational DBMS	Score 4.86 Rank #80   Overall #14   Document stores #5   Graph DBMS #12   Key-value stores	Score 0.74 Rank #206   Overall #9   RDF stores
Website	greenplum.org	orientdb.org	rdf4j.org
Technical documentation	docs.greenplum.org	www.orientdb.com/­docs/­last/­index.html	rdf4j.org/­documentation
Developer	Pivotal Software Inc.	OrientDB LTD; CallidusCloud; SAP	Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release	2005	2010	2004
Current release	6.7.1, April 2020	3.1.9, February 2021
License Commercial or Open Source	Open Source Apache 2.0	Open Source Apache version 2	Open Source Eclipse Distribution License (EDL), v1.0.
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language		Java	Java
Server operating systems	Linux	All OS with a Java JDK (>= JDK 6)	Linux OS X Unix Windows
Data scheme	yes	schema-free Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")	yes RDF Schemas
Typing predefined data types such as float or date	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes since Version 4.2	no
Secondary indexes	yes	yes	yes
SQL Support of SQL	yes	SQL-like query language, no joins	no
APIs and other access methods	JDBC ODBC	Tinkerpop technology stack with Blueprints, Gremlin, Pipes Java API RESTful HTTP/JSON API	Java API RIO RDF Input/Output Sail API SeRQL Sesame RDF Query Language Sesame REST HTTP Protocol SPARQL
Supported programming languages	C Java Perl Python R	.Net C C# C++ Clojure Java JavaScript JavaScript (Node.js) PHP Python Ruby Scala	Java PHP Python
Server-side scripts Stored procedures	yes	Java, Javascript	yes
Triggers	yes	Hooks	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	Multi-source replication	none
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no could be achieved with distributed queries	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency
Foreign keys Referential integrity	yes	yes relationship in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	ACID Isolation support depends on the API used
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes in-memory storage is supported as well
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no
User concepts Access control	fine grained access rights according to SQL-standard	Access rights for users and roles; record level security configurable	no
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More resources
	Greenplum	OrientDB	RDF4J formerly known as Sesame
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