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DBMS > FileMaker vs. Google BigQuery vs. Microsoft SQL Server vs. TimescaleDB

System Properties Comparison FileMaker vs. Google BigQuery vs. Microsoft SQL Server vs. TimescaleDB

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Large scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational 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
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.claris.com/­filemakercloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serverwww.timescale.com
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdocs.timescale.com
DeveloperClaris infoa subsidiary of AppleGoogleMicrosoftTimescale
Initial release1983201019892017
Current release19.4.1, November 2021SQL Server 2022, November 20222.13.0, November 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
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.
Implementation languageC++C
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, 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.yes infoA http query request can return the data in XML formatnoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infovia pluginsyesyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesPHP.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes, but depending on the SQL-Server EditionSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACID
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.noyesno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FileMakerGoogle BigQueryMicrosoft SQL ServerTimescaleDB
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