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DBMS > Cachelot.io vs. GeoSpock vs. Microsoft Azure SQL Database vs. Netezza

System Properties Comparison Cachelot.io vs. GeoSpock vs. Microsoft Azure SQL Database vs. Netezza

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionIn-memory caching systemSpatial and temporal data processing engine for extreme data scaleDatabase as a Service offering with high compatibility to Microsoft SQL ServerData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitecachelot.iogeospock.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezza
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGeoSpockMicrosoftIBM
Initial release201520102000
Current release2.0, September 2019V12
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC++
Server operating systemsFreeBSD
Linux
OS X
hostedhostedLinux infoincluded in appliance
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyes
Secondary indexesnotemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesyes
APIs and other access methodsMemcached protocolJDBCADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights for users can be defined per tablefine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Cachelot.ioGeoSpockMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBM
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23 February 2021, ComputerWeekly.com

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
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Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
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