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DBMS > Firebase Realtime Database vs. Spark SQL vs. SWC-DB vs. TDengine vs. Transbase

System Properties Comparison Firebase Realtime Database vs. Spark SQL vs. SWC-DB vs. TDengine vs. Transbase

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDengine  Xexclude from comparisonTransbase  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.Spark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSTime Series DBMS and big data platformA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeRelational DBMSWide column storeTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasespark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­taosdata/­TDengine
tdengine.com
www.transaction.de/­en/­products/­transbase.html
Technical documentationfirebase.google.com/­docs/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGoogle infoacquired by Google 2014Apache Software FoundationAlex KashirinTDEngine, previously Taos DataTransaction Software GmbH
Initial release20122014202020191987
Current release3.5.0 ( 2.13), September 20230.5, April 20213.0, August 2022Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL V3Open Source infoAGPL V3, also commercial editions availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++CC and C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
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.nonononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Thrift
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
JavaScript
Objective-C
Java
Python
R
Scala
C++C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'nononoyes
TriggersCallbacks are triggered when data changesnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonono
User concepts infoAccess controlyes, based on authentication and database rulesnoyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Firebase Realtime DatabaseSpark SQLSWC-DB infoSuper Wide Column DatabaseTDengineTransbase
Specific characteristicsTDengineā„¢ 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 DatabaseSpark SQLSWC-DB infoSuper Wide Column DatabaseTDengineTransbase
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