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DBMS > Microsoft SQL Server vs. Postgres-XL vs. Riak KV vs. TempoIQ

System Properties Comparison Microsoft SQL Server vs. Postgres-XL vs. Riak KV vs. TempoIQ

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRiak KV  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionMicrosofts relational DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, fault tolerant key-value storeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1062.76
Rank#3  Overall
#3  Relational DBMS
Score0.56
Rank#218  Overall
#104  Relational DBMS
Score5.92
Rank#63  Overall
#9  Key-value stores
Websitewww.microsoft.com/­en-us/­sql-serverwww.postgres-xl.orgriak.com/­products/­riak-kvtempoiq.com (offline)
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.postgres-xl.org/­documentation
DeveloperMicrosoftBasho TechnologiesTempoIQ
Initial release19892014 infosince 2012, originally named StormDB20092012
Current releaseSQL Server 2019, November 201910 R1, October 20182.1.0, April 2015
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMozilla public licenseOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CErlang
Server operating systemsLinux
Windows
Linux
macOS
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesrestricted
SQL infoSupport of SQLyesyes infodistributed, parallel query executionnono
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
HTTP API
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functionsJavaScript and Erlangno
Triggersyesyesyes infopre-commit hooks and post-commit hooksyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCnono
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnosimple authentication-based access control

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More resources
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