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DBMS > Firebase Realtime Database vs. MarkLogic vs. TDengine vs. Valentina Server

System Properties Comparison Firebase Realtime Database vs. MarkLogic vs. TDengine vs. Valentina Server

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMarkLogic  Xexclude from comparisonTDengine  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Operational and transactional Enterprise NoSQL databaseTime Series DBMS and big data platformObject-relational database and reports server
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.marklogic.comgithub.com/­taosdata/­TDengine
tdengine.com
www.valentina-db.net
Technical documentationfirebase.google.com/­docs/­databasedocs.marklogic.comdocs.tdengine.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogle infoacquired by Google 2014MarkLogic Corp.TDEngine, previously Taos DataParadigma Software
Initial release2012200120191999
Current release11.0, December 20223.0, August 20225.7.5
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesyes
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.noyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infoSQL92Standard SQL with extensions for time-series applicationsyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
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
JDBC
RESTful HTTP API
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infovia XQuery or JavaScriptnoyes
TriggersCallbacks are triggered when data changesyesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes, with Range Indexesyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access control at the document and subdocument levelsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Firebase Realtime DatabaseMarkLogicTDengineValentina Server
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Firebase Realtime DatabaseMarkLogicTDengineValentina Server
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