DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Greenplum vs. Microsoft SQL Server vs. PlanetScale

System Properties Comparison Greenplum vs. Microsoft SQL Server vs. PlanetScale

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPlanetScale  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 DBMSScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.08
Rank#48  Overall
#30  Relational DBMS
Score774.89
Rank#3  Overall
#3  Relational DBMS
Score1.05
Rank#180  Overall
#80  Relational DBMS
Websitegreenplum.orgwww.microsoft.com/­en-us/­sql-serverplanetscale.com
Technical documentationdocs.greenplum.orglearn.microsoft.com/­en-US/­sql/­sql-serverplanetscale.com/­docs
DeveloperPivotal Software Inc.MicrosoftPlanetScale
Initial release200519892020
Current release7.0.0, September 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
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++Go
Server operating systemsLinuxLinux
Windows
Docker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 4.2yes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoproprietary syntax
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
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-standardUsers with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GreenplumMicrosoft SQL ServerPlanetScale
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale
9 September 2019, Amazon Web Services

RSA: EMC integrates Hadoop with Greenplum database
26 February 2013, Data Center Dynamics

Greenplum 6 ventures outside the analytic box
19 March 2019, ZDNET

Fig. 1. High-Level Greenplum Database Architecture
9 September 2018, ResearchGate

Data Warehousing with Greenplum
6 December 2018, O'Reilly Media

provided by Google News

Why SQL Server Is Still Worth It
24 March 2025, Redmondmag.com

The year ahead for SQL Server: Ground to cloud to fabric
15 January 2025, Microsoft

SQL Server 2019 installation for Lab
27 January 2025, Spiceworks Community

Ola Hallengren’s SQL Server Maintenance Solution in AWS
8 March 2025, Amazon Web Services

How to Recover Deleted Data from SQL Server without Backup
22 April 2025, Infosecurity Magazine

provided by Google News

PlanetScale Vectors Now GA: MySQL's Missing Feature?
12 April 2025, infoq.com

PlanetScale ends free tier bid, sheds staff in profitability bid
11 March 2024, theregister.com

PlanetScale raises $50M Series C as its enterprise database service hits general availability
16 November 2021, TechCrunch

PlanetScale Announces $30M Series B Funding to Accelerate Adoption of Instantly Provisioned and Infinitely Scalable Database
23 June 2021, Business Wire

PlanetScale CEO on Cloud-Prem and Climbing the Engineering Ladder
2 August 2022, future.com

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here