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DBMS > Firebase Realtime Database vs. RavenDB vs. Splice Machine vs. SWC-DB vs. TDengine

System Properties Comparison Firebase Realtime Database vs. RavenDB vs. Splice Machine vs. SWC-DB vs. TDengine

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonRavenDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDengine  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.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMSTime Series DBMS and big data platform
Primary database modelDocument storeDocument storeRelational DBMSWide column storeTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databaseravendb.netsplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationfirebase.google.com/­docs/­databaseravendb.net/­docssplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperGoogle infoacquired by Google 2014Hibernating RhinosSplice MachineAlex KashirinTDEngine, previously Taos Data
Initial release20122010201420202019
Current release5.4, July 20223.1, March 20210.5, April 20213.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC++C
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)yesSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
JDBC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesyes infoJavanono
TriggersCallbacks are triggered when data changesyesyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesno
User concepts infoAccess controlyes, based on authentication and database rulesAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
Firebase Realtime DatabaseRavenDBSplice MachineSWC-DB infoSuper Wide Column DatabaseTDengine
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 DatabaseRavenDBSplice MachineSWC-DB infoSuper Wide Column DatabaseTDengine
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