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DBMS > Greenplum vs. HBase vs. Microsoft SQL Server vs. OpenEdge

System Properties Comparison Greenplum vs. HBase vs. Microsoft SQL Server vs. OpenEdge

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenEdge  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.Wide-column store based on Apache Hadoop and on concepts of BigTableMicrosofts flagship relational DBMSApplication development environment with integrated database management system
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websitegreenplum.orghbase.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.progress.com/­openedge
Technical documentationdocs.greenplum.orghbase.apache.org/­book.htmllearn.microsoft.com/­en-US/­sql/­sql-serverdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperPivotal Software Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftProgress Software Corporation
Initial release2005200819891984
Current release7.0.0, September 20232.3.4, January 2021SQL Server 2022, November 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 4.2noyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes infoclose to SQL 92
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyesyes infoCoprocessors in JavaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACID
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.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardUsers and groups

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More resources
GreenplumHBaseMicrosoft SQL ServerOpenEdge
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