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DBMS > Apache Pinot vs. InterSystems IRIS

System Properties Comparison Apache Pinot vs. InterSystems IRIS

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#248  Overall
#117  Relational DBMS
Score2.15
Rank#110  Overall
#20  Document stores
#17  Key-value stores
#1  Object oriented DBMS
#54  Relational DBMS
Websitepinot.apache.orgwww.intersystems.com/­products/­intersystems-iris
Technical documentationdocs.pinot.apache.orgdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperApache Software Foundation and contributorsInterSystems
Initial release20152018
Current release1.0.0, September 20232023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherAIX
Linux
macOS
Ubuntu
Windows
Data schemeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes

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More resources
Apache PinotInterSystems IRIS
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