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DBMS > Netezza vs. Pinecone vs. Postgres-XL vs. SpatiaLite

System Properties Comparison Netezza vs. Pinecone vs. Postgres-XL vs. SpatiaLite

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpatial extension of SQLite
Primary database modelRelational DBMSVector DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.ibm.com/­products/­netezzawww.pinecone.iowww.postgres-xl.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.pinecone.io/­docs/­overviewwww.postgres-xl.org/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperIBMPinecone Systems, IncAlessandro Furieri
Initial release200020192014 infosince 2012, originally named StormDB2008
Current release10 R1, October 20185.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemsLinux infoincluded in appliancehostedLinux
macOS
server-less
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
ODBC
OLE DB
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Python.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACID
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardno

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

Vector databases
2 June 2023, Matthias Gelbmann

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

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

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza Performance Server
12 August 2020, ibm.com

provided by Google News

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

Pinecone Unveils Serverless Vector Database for Enhanced AI Applications
16 January 2024, Datanami

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

Pinecone: New vector database architecture a 'breakthrough' to curb AI hallucinations
16 January 2024, VentureBeat

provided by Google News



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