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DBMS > GigaSpaces vs. Greenplum vs. MarkLogic vs. PouchDB

System Properties Comparison GigaSpaces vs. Greenplum vs. MarkLogic vs. PouchDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGreenplum  Xexclude from comparisonMarkLogic  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAnalytic 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 databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.gigaspaces.comgreenplum.orgwww.progress.com/­marklogicpouchdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.greenplum.orgwww.progress.com/­marklogic/­documentationpouchdb.com/­guides
DeveloperGigaspaces TechnologiesPivotal Software Inc.MarkLogic Corp.Apache Software Foundation
Initial release2000200520012012
Current release15.5, September 20207.0.0, September 202311.0, December 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial 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 languageJava, C++, .NetC++JavaScript
Server operating systemsLinux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.no infoXML can be used for describing objects metadatayes infosince Version 4.2yesno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLSQL-99 for query and DML statementsyesyes infoSQL92no
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
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
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C++
Java
Python
Scala
C
Java
Perl
Python
R
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyesyesyes infovia XQuery or JavaScriptView functions in JavaScript
Triggersyes, event driven architectureyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsno

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More resources
GigaSpacesGreenplumMarkLogicPouchDB
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