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DBMS > Microsoft Azure Table Storage vs. Netezza vs. SQream DB

System Properties Comparison Microsoft Azure Table Storage vs. Netezza vs. SQream DB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsData warehouse and analytics appliance part of IBM PureSystemsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzasqream.com
Technical documentationdocs.sqream.com
DeveloperMicrosoftIBMSQream Technologies
Initial release201220002017
Current release2022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux infoincluded in applianceLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Types
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.no
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
.Net
JDBC
ODBC
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.no
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept

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More resources
Microsoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMSQream DB
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