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DBMS > Citus vs. Google Cloud Firestore vs. Microsoft SQL Server vs. TDengine

System Properties Comparison Citus vs. Google Cloud Firestore vs. Microsoft SQL Server vs. TDengine

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Microsofts flagship relational DBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.citusdata.comfirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­sql-servergithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.citusdata.comfirebase.google.com/­docs/­firestorelearn.microsoft.com/­en-US/­sql/­sql-serverdocs.tdengine.com
DeveloperGoogleMicrosoftTDEngine, previously Taos Data
Initial release2010201719892019
Current release8.1, December 2018SQL Server 2022, November 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercial inforestricted free version is availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageCC++C
Server operating systemsLinuxhostedLinux
Windows
Linux
Windows
Data schemeyesschema-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.yes infospecific XML type available, but no XML query functionalitynoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, Firebase Rules & Cloud FunctionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyes, with Cloud Functionsyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardyes
More information provided by the system vendor
CitusGoogle Cloud FirestoreMicrosoft SQL ServerTDengine
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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CitusGoogle Cloud FirestoreMicrosoft SQL ServerTDengine
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