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DBMS > Apache Phoenix vs. Firebase Realtime Database vs. Ingres vs. MarkLogic vs. Valentina Server

System Properties Comparison Apache Phoenix vs. Firebase Realtime Database vs. Ingres vs. MarkLogic vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIngres  Xexclude from comparisonMarkLogic  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Well established RDBMSOperational and transactional Enterprise NoSQL databaseObject-relational database and reports server
Primary database modelRelational DBMSDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitephoenix.apache.orgfirebase.google.com/­products/­realtime-databasewww.actian.com/­databases/­ingreswww.marklogic.comwww.valentina-db.net
Technical documentationphoenix.apache.orgfirebase.google.com/­docs/­databasedocs.actian.com/­ingresdocs.marklogic.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationGoogle infoacquired by Google 2014Actian CorporationMarkLogic Corp.Paradigma Software
Initial release201420121974 infooriginally developed at University Berkely in early 1970s20011999
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.2, May 202211.0, December 20225.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinux
Unix
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoyesyes infoSQL92yes
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'yesyes infovia XQuery or JavaScriptyes
TriggersnoCallbacks are triggered when data changesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes, based on authentication and database rulesfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
Apache PhoenixFirebase Realtime DatabaseIngresMarkLogicValentina Server
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