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DBMS > Greenplum vs. HBase vs. MarkLogic vs. OrigoDB

System Properties Comparison Greenplum vs. HBase vs. MarkLogic vs. OrigoDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrigoDB  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.Wide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL databaseA fully ACID in-memory object graph database
Primary database modelRelational DBMSWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Object oriented 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Websitegreenplum.orghbase.apache.orgwww.progress.com/­marklogicorigodb.com
Technical documentationdocs.greenplum.orghbase.apache.org/­book.htmlwww.progress.com/­marklogic/­documentationorigodb.com/­docs
DeveloperPivotal Software Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.Robert Friberg et al
Initial release2005200820012009 infounder the name LiveDB
Current release7.0.0, September 20232.3.4, January 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercial inforestricted free version is availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-free, schema definition possibleschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesUser defined using .NET types and collections
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 4.2noyesno infocan be achieved using .NET
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infoSQL92no
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javayes infovia XQuery or JavaScriptyes
Triggersyesyesyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levelsRole based authorization

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More resources
GreenplumHBaseMarkLogicOrigoDB
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