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DBMS > Apache Pinot vs. Oracle Rdb vs. Solr vs. TempoIQ

System Properties Comparison Apache Pinot vs. Oracle Rdb vs. Solr vs. TempoIQ

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA widely used distributed, scalable search engine based on Apache LuceneScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitepinot.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.orgtempoiq.com (offline)
Technical documentationdocs.pinot.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.html
DeveloperApache Software Foundation and contributorsOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationTempoIQ
Initial release2015198420062012
Current release1.0.0, September 20237.4.1.1, 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherHP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.noyesno
Secondary indexesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyesSolr Parallel SQL Interfaceno
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesGo
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresJava pluginsno
Triggersyes infoUser configurable commands triggered on index changesyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeoptimistic lockingno
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.noyesno
User concepts infoAccess controlyessimple authentication-based access control

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More resources
Apache PinotOracle RdbSolrTempoIQ infoformerly TempoDB
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