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DBMS > Apache Pinot vs. Netezza vs. Yanza

System Properties Comparison Apache Pinot vs. Netezza vs. Yanza

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#263  Overall
#121  Relational DBMS
Score6.51
Rank#53  Overall
#31  Relational DBMS
Websitepinot.apache.orgwww.ibm.com/­products/­netezzayanza.com
Technical documentationdocs.pinot.apache.org
DeveloperApache Software Foundation and contributorsIBMYanza
Initial release201520002015
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherLinux infoincluded in applianceWindows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
HTTP API
Supported programming languagesGo
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesno
Triggersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
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 dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptno

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More resources
Apache PinotNetezza infoAlso called PureData System for Analytics by IBMYanza
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