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DBMS > Apache Phoenix vs. Apache Pinot vs. Elasticsearch

System Properties Comparison Apache Phoenix vs. Apache Pinot vs. Elasticsearch

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonApache Pinot  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Websitephoenix.apache.orgpinot.apache.orgwww.elastic.co/­elasticsearch
Technical documentationphoenix.apache.orgdocs.pinot.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperApache Software FoundationApache Software Foundation and contributorsElastic
Initial release201420152010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.0, September 20238.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoElastic License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinux
Unix
Windows
All OS with a Java JDK11 or higherAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
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.nono
Secondary indexesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language
APIs and other access methodsJDBCJDBCJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integration
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

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More resources
Apache PhoenixApache PinotElasticsearch
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