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DBMS > Greenplum vs. Interbase vs. JSqlDb vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

System Properties Comparison Greenplum vs. Interbase vs. JSqlDb vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonInterbase  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMicrosoft SQL Server  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.Light-weight proven RDBMS infooriginally from BorlandJavaScript Query Language Database, stores JavaScript objects and primitivesA Wide Column Store for rapid development using massive semi-structured datasetsMicrosofts relational DBMS
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Wide column storeRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.14
Rank#40  Overall
#24  Relational DBMS
Score6.63
Rank#52  Overall
#30  Relational DBMS
Score0.00
Rank#334  Overall
#46  Document stores
#19  Object oriented DBMS
Score5.01
Rank#65  Overall
#5  Wide column stores
Score1098.55
Rank#3  Overall
#3  Relational DBMS
Websitepivotal.io/­pivotal-greenplumwww.embarcadero.com/­products/­interbasejsqldb.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.microsoft.com/­en-us/­sql-server
Technical documentationgpdb.docs.pivotal.iodocs.embarcadero.com/­products/­interbasedocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperPivotal Software Inc.EmbarcaderoKonrad von BackstromMicrosoftMicrosoft
Initial release20051984201820121989
Current release5.10.0, July 2018InterBase 2017, March 20170.8, December 2018SQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
Linux
macOS
Windows
hostedLinux
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 4.2no infoexport as XML data possiblenonoyes
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesyesnonoyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
Java
Perl
Python
R
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languagefunctions in JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationInterbase Change Viewsnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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