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DBMS > GigaSpaces vs. Microsoft Azure Table Storage vs. Microsoft SQL Server vs. Netezza

System Properties Comparison GigaSpaces vs. Microsoft Azure Table Storage vs. Microsoft SQL Server vs. Netezza

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Wide Column Store for rapid development using massive semi-structured datasetsMicrosofts flagship relational DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezza
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGigaspaces TechnologiesMicrosoftMicrosoftIBM
Initial release2000201219892000
Current release15.5, September 2020SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++
Server operating systemsLinux
macOS
Solaris
Windows
hostedLinux
Windows
Linux infoincluded in appliance
Data schemeschema-freeschema-freeyesyes
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.no infoXML can be used for describing objects metadatanoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyesyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
OLE DB
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID
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.yesnoyes
User concepts infoAccess controlRole-based access controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
GigaSpacesMicrosoft Azure Table StorageMicrosoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBM
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