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DBMS > Machbase Neo vs. Netezza vs. OrigoDB vs. Valentina Server

System Properties Comparison Machbase Neo vs. Netezza vs. OrigoDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrigoDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataData warehouse and analytics appliance part of IBM PureSystemsA fully ACID in-memory object graph databaseObject-relational database and reports server
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitemachbase.comwww.ibm.com/­products/­netezzaorigodb.comwww.valentina-db.net
Technical documentationmachbase.com/­dbmsorigodb.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMachbaseIBMRobert Friberg et alParadigma Software
Initial release201320002009 infounder the name LiveDB1999
Current releaseV8.0, August 20235.7.5
License infoCommercial or Open Sourcecommercial infofree test version availablecommercialOpen Sourcecommercial
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 languageCC#
Server operating systemsLinux
macOS
Windows
Linux infoincluded in applianceLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyes
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyesyes
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyesyes
User concepts infoAccess controlsimple password-based access controlUsers with fine-grained authorization conceptRole based authorizationfine grained access rights according to SQL-standard

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More resources
Machbase Neo infoFormer name was InfinifluxNetezza infoAlso called PureData System for Analytics by IBMOrigoDBValentina Server
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
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