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DBMS > Greenplum vs. Microsoft SQL Server vs. MonetDB vs. QuestDB

System Properties Comparison Greenplum vs. Microsoft SQL Server vs. MonetDB vs. QuestDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  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 DBMSA relational database management system that stores data in columnsA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitegreenplum.orgwww.microsoft.com/­en-us/­sql-serverwww.monetdb.orgquestdb.io
Technical documentationdocs.greenplum.orglearn.microsoft.com/­en-US/­sql/­sql-serverwww.monetdb.org/­Documentationquestdb.io/­docs
DeveloperPivotal Software Inc.MicrosoftMonetDB BVQuestDB Technology Inc
Initial release2005198920042014
Current release7.0.0, September 2023SQL Server 2022, November 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++CJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocol
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 4.2yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesyes infoSQL 2003 with some extensionsSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in SQL, C, Rno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding via remote tableshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server Editionnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writes
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 infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
GreenplumMicrosoft SQL ServerMonetDBQuestDB
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