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DBMS > Greenplum vs. Microsoft Azure Table Storage vs. MonetDB vs. Warp 10

System Properties Comparison Greenplum vs. Microsoft Azure Table Storage vs. MonetDB vs. Warp 10

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparisonWarp 10  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.A Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columnsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegreenplum.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.orgwww.warp10.io
Technical documentationdocs.greenplum.orgwww.monetdb.org/­Documentationwww.warp10.io/­content/­02_Getting_started
DeveloperPivotal Software Inc.MicrosoftMonetDB BVSenX
Initial release2005201220042015
Current release7.0.0, September 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 4.2nono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC
Java
Perl
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, Ryes infoWarpScript
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental statusselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GreenplumMicrosoft Azure Table StorageMonetDBWarp 10
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