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DBMS > Infobright vs. Netezza vs. Pinecone

System Properties Comparison Infobright vs. Netezza vs. Pinecone

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendData warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#195  Overall
#89  Relational DBMS
Score8.15
Rank#46  Overall
#30  Relational DBMS
Score3.13
Rank#88  Overall
#3  Vector DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbwww.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationdocs.pinecone.io/­docs/­overview
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.IBMPinecone Systems, Inc
Initial release200520002019
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsLinux
Windows
Linux infoincluded in appliancehosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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.nono
Secondary indexesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUsers with fine-grained authorization concept

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More resources
InfobrightNetezza infoAlso called PureData System for Analytics by IBMPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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