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DBMS > Greenplum vs. MarkLogic vs. Pinecone

System Properties Comparison Greenplum vs. MarkLogic vs. Pinecone

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMarkLogic  Xexclude from comparisonPinecone  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.Operational and transactional Enterprise NoSQL databaseA managed, cloud-native vector database
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitegreenplum.orgwww.marklogic.comwww.pinecone.io
Technical documentationdocs.greenplum.orgdocs.marklogic.comdocs.pinecone.io/­docs/­overview
DeveloperPivotal Software Inc.MarkLogic Corp.Pinecone Systems, Inc
Initial release200520012019
Current release7.0.0, September 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinuxLinux
OS X
Windows
hosted
Data schemeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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 4.2yesno
Secondary indexesyesyes
SQL infoSupport of SQLyesyes infoSQL92no
APIs and other access methodsJDBC
ODBC
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
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScript
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
GreenplumMarkLogicPinecone
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