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DBMS > Apache Pinot vs. FileMaker vs. Netezza

System Properties Comparison Apache Pinot vs. FileMaker vs. Netezza

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFileMaker  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFileMaker is a cross-platform RDBMS that includes a GUI frontend.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitepinot.apache.orgwww.claris.com/­filemakerwww.ibm.com/­products/­netezza
Technical documentationdocs.pinot.apache.orgwww.claris.com/­resources/­documentation
DeveloperApache Software Foundation and contributorsClaris infoa subsidiary of AppleIBM
Initial release201519832000
Current release1.0.0, September 202319.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higheriOS infoclient part only
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes infoA http query request can return the data in XML format
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsyes
APIs and other access methodsJDBCFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
PHPC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesUsers with fine-grained authorization concept

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More resources
Apache PinotFileMakerNetezza infoAlso called PureData System for Analytics by IBM
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