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DBMS > FileMaker vs. GreptimeDB vs. Microsoft SQL Server vs. TDengine

System Properties Comparison FileMaker vs. GreptimeDB vs. Microsoft SQL Server vs. TDengine

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source Time Series DBMS built for increased scalability, high performance and efficiencyMicrosofts flagship relational DBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.claris.com/­filemakergreptime.comwww.microsoft.com/­en-us/­sql-servergithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.claris.com/­resources/­documentationdocs.greptime.comlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.tdengine.com
DeveloperClaris infoa subsidiary of AppleGreptime Inc.MicrosoftTDEngine, previously Taos Data
Initial release1983202219892019
Current release19.4.1, November 2021SQL Server 2022, November 20223.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
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 languageRustC++C
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
Linux
Windows
Data schemeyesschema-free, schema definition possibleyesyes
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 infoA http query request can return the data in XML formatnoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infovia pluginsyesyesStandard SQL with extensions for time-series applications
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
RESTful HTTP API
Supported programming languagesPHPC++
Erlang
Go
Java
JavaScript
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 proceduresyesPythonTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.yes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesSimple rights management via user accountsfine grained access rights according to SQL-standardyes
More information provided by the system vendor
FileMakerGreptimeDBMicrosoft SQL ServerTDengine
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FileMakerGreptimeDBMicrosoft SQL ServerTDengine
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