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DBMS > Greenplum vs. InterSystems Caché vs. Microsoft SQL Server vs. Riak TS

System Properties Comparison Greenplum vs. InterSystems Caché vs. Microsoft SQL Server vs. Riak TS

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak TS  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.A multi-model DBMS and application serverMicrosofts flagship relational DBMSRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.96
Rank#42  Overall
#26  Relational DBMS
Score2.91
Rank#102  Overall
#18  Key-value stores
#1  Object oriented DBMS
#53  Relational DBMS
Score944.81
Rank#3  Overall
#3  Relational DBMS
Score0.25
Rank#277  Overall
#23  Time Series DBMS
Websitegreenplum.orgwww.intersystems.com/­products/­cachewww.microsoft.com/­en-us/­sql-serverriak.com/­products/­riak-ts
Technical documentationdocs.greenplum.orgdocs.intersystems.comdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperPivotal Software Inc.InterSystemsMicrosoftBasho Technologies
Initial release2005199719892015
Current release6.7.1, April 20202018.1.4, May 2020SQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source
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.
Implementation languageC++Erlang
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Data schemeyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 4.2yesyesno
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
Supported programming languagesC
Java
Perl
Python
R
C#
C++
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScript and Erlang
Triggersyesyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes, but depending on the SQL-Server Editionselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

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More resources
GreenplumInterSystems CachéMicrosoft SQL ServerRiak TS
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