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DBMS > Greenplum vs. Microsoft SQL Server vs. OrientDB vs. SAP HANA

System Properties Comparison Greenplum vs. Microsoft SQL Server vs. OrientDB vs. SAP HANA

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOrientDB  Xexclude from comparisonSAP HANA  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.Microsofts flagship relational DBMSMulti-model DBMS (Document, Graph, Key/Value)In-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.36
Rank#44  Overall
#28  Relational DBMS
Score941.20
Rank#3  Overall
#3  Relational DBMS
Score5.14
Rank#79  Overall
#14  Document stores
#5  Graph DBMS
#12  Key-value stores
Score55.09
Rank#21  Overall
#13  Relational DBMS
Websitegreenplum.orgwww.microsoft.com/­en-us/­sql-serverorientdb.orgwww.sap.com/­products/­hana.html
Technical documentationdocs.greenplum.orgdocs.microsoft.com/­en-US/­sql/­sql-serverwww.orientdb.com/­docs/­last/­index.htmlhelp.sap.com/­hana
DeveloperPivotal Software Inc.MicrosoftOrientDB LTD; CallidusCloud; SAPSAP
Initial release2005198920102010
Current release6.7.1, April 2020SQL Server 2019, November 20193.1.9, February 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinuxLinux
Windows
All OS with a Java JDK (>= JDK 6)Appliance or cloud-service
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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 4.2yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query language, no joinsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava, JavascriptSQLScript, R
TriggersyesyesHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server EditionMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurableyes

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