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DBMS > Apache Phoenix vs. NuoDB vs. Solr vs. Sphinx vs. Yanza

System Properties Comparison Apache Phoenix vs. NuoDB vs. Solr vs. Sphinx vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonNuoDB  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseNuoDB is a webscale distributed database that supports SQL and ACID transactionsA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSSearch engineSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitephoenix.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasesolr.apache.orgsphinxsearch.comyanza.com
Technical documentationphoenix.apache.orgdoc.nuodb.comsolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperApache Software FoundationDassault Systèmes infooriginally NuoDB, Inc.Apache Software FoundationSphinx Technologies Inc.Yanza
Initial release20142013200620012015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20199.6.0, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsLinux
Unix
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingnono
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.nonoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesyesSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Proprietary protocolHTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsJava, SQLJava pluginsnono
Triggersnoyesyes infoUser configurable commands triggered on index changesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDByesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infotunable commit protocoloptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tableyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyStandard SQL roles/ privileges, Administrative Usersyesnono

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More resources
Apache PhoenixNuoDBSolrSphinxYanza
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