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DBMS > Netezza vs. OpenTenBase vs. Prometheus vs. SpatiaLite

System Properties Comparison Netezza vs. OpenTenBase vs. Prometheus vs. SpatiaLite

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenTenBase  Xexclude from comparisonPrometheus  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsAn enterprise-level distributed HTAP open source database based on PostgreSQLOpen-source Time Series DBMS and monitoring systemSpatial extension of SQLite
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSpatial 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
#159  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Websitewww.ibm.com/­products/­netezzagithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
prometheus.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.opentenbase.org
docs.opentenbase.org/­en
prometheus.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperIBMOpenAtom Foundation, previously TencentAlessandro Furieri
Initial release200020152008
Current release2.5, January 20245.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
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 languageGoC++
Server operating systemsLinux infoincluded in applianceLinuxLinux
Windows
server-less
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsJDBC
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
Go
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOpenTenBasePrometheusSpatiaLite
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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

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

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18 October 2021, TechTarget

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