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DBMS > Greenplum vs. ITTIA vs. MarkLogic vs. Quasardb

System Properties Comparison Greenplum vs. ITTIA vs. MarkLogic vs. Quasardb

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonITTIA  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuasardb  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.Edge Time Series DBMS with Real-Time Stream ProcessingOperational and transactional Enterprise NoSQL databaseDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegreenplum.orgwww.ittia.comwww.progress.com/­marklogicquasar.ai
Technical documentationdocs.greenplum.orgwww.progress.com/­marklogic/­documentationdoc.quasar.ai/­master
DeveloperPivotal Software Inc.ITTIA L.L.C.MarkLogic Corp.quasardb
Initial release2005200720012009
Current release7.0.0, September 20238.711.0, December 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesFixed schemaschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes infointeger and binary
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
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLyesyesyes infoSQL92SQL-like query language
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
WebSocket
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 API
Supported programming languagesC
Java
Perl
Python
R
C
C++
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyesyes infovia XQuery or JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardDatabase file passwordsRole-based access control at the document and subdocument levelsCryptographically strong user authentication and audit trail

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More resources
GreenplumITTIAMarkLogicQuasardb
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