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DBMS > Apache Phoenix vs. Solr vs. YTsaurus

System Properties Comparison Apache Phoenix vs. Solr vs. YTsaurus

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonSolr  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA widely used distributed, scalable search engine based on Apache LuceneYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSSearch engineDocument store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitephoenix.apache.orgsolr.apache.orgytsaurus.tech
Technical documentationphoenix.apache.orgsolr.apache.org/­resources.htmlytsaurus.tech/­docs/­en
DeveloperApache Software FoundationApache Software FoundationYandex
Initial release201420062023
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20199.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Ubuntu
Data schemeyes infolate-bound, schema-on-read capabilitiesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes 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 SQLyesSolr Parallel SQL InterfaceYQL, an SQL-based language, is supported
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsJava plugins
Triggersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
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.yesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesAccess Control Lists

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More resources
Apache PhoenixSolrYTsaurus
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

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