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DBMS > Firebase Realtime Database vs. MarkLogic vs. TimescaleDB

System Properties Comparison Firebase Realtime Database vs. MarkLogic vs. TimescaleDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMarkLogic  Xexclude from comparisonTimescaleDB  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 databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.02
Rank#37  Overall
#5  Document stores
Score9.43
Rank#49  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score3.96
Rank#84  Overall
#5  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.marklogic.comwww.timescale.com
Technical documentationfirebase.google.com/­docs/­databasedocs.marklogic.comdocs.timescale.com
DeveloperGoogle infoacquired by Google 2014MarkLogic Corp.Timescale
Initial release201220012017
Current release9.0, 2017
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yes infofull PostgreSQL SQL syntax
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infovia XQuery or JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with hot standby and reads on replicas info
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionACID
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.yes, with Range Indexesno
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard
More information provided by the system vendor
Firebase Realtime DatabaseMarkLogicTimescaleDB
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
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More resources
Firebase Realtime DatabaseMarkLogicTimescaleDB
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