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DBMS > Apache Phoenix vs. Microsoft Azure AI Search vs. Realm vs. Valentina Server

System Properties Comparison Apache Phoenix vs. Microsoft Azure AI Search vs. Realm vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRealm  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseSearch-as-a-service for web and mobile app developmentA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataObject-relational database and reports server
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score7.71
Rank#52  Overall
#9  Document stores
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitephoenix.apache.orgazure.microsoft.com/­en-us/­services/­searchrealm.iowww.valentina-db.net
Technical documentationphoenix.apache.orglearn.microsoft.com/­en-us/­azure/­searchrealm.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationMicrosoftRealm, acquired by MongoDB in May 2019Paradigma Software
Initial release2014201520141999
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V15.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
Unix
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsJDBCRESTful HTTP APIODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessaryyes
Triggersnonoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes infousing Azure authenticationyesfine grained access rights according to SQL-standard

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More resources
Apache PhoenixMicrosoft Azure AI SearchRealmValentina Server
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