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DBMS > Netezza vs. Newts vs. searchxml vs. SpaceTime

System Properties Comparison Netezza vs. Newts vs. searchxml vs. SpaceTime

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonsearchxml  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraDBMS for structured and unstructured content wrapped with an application serverSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSTime Series DBMSNative XML DBMS
Search engine
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websitewww.ibm.com/­products/­netezzaopennms.github.io/­newtswww.searchxml.net/­category/­productswww.mireo.com/­spacetime
Technical documentationgithub.com/­OpenNMS/­newts/­wikiwww.searchxml.net/­support/­handouts
DeveloperIBMOpenNMS Groupinformationpartners gmbhMireo
Initial release2000201420152020
Current release1.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
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 languageJavaC++C++
Server operating systemsLinux infoincluded in applianceLinux
OS X
Windows
WindowsLinux
Data schemeyesschema-freeschema-freeyes
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.noyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnonoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP REST
Java API
RESTful HTTP API
WebDAV
XQuery
XSLT
RESTful HTTP API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
JavaC++ infomost other programming languages supported via APIsC#
C++
Python
Server-side scripts infoStored proceduresyesnoyes infoon the application serverno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes infosychronisation to multiple collectionsReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writerno
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.nonono
User concepts infoAccess controlUsers with fine-grained authorization conceptnoDomain, group and role-based access control at the document level and for application servicesyes

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More resources
Netezza infoAlso called PureData System for Analytics by IBMNewtssearchxmlSpaceTime
Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, ibm.com

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, Microsoft

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

provided by Google News



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