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DBMS > FileMaker vs. Microsoft Access vs. Microsoft SQL Server vs. PlanetScale vs. QuestDB

System Properties Comparison FileMaker vs. Microsoft Access vs. Microsoft SQL Server vs. PlanetScale vs. QuestDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Microsofts flagship relational DBMSScalable, distributed, serverless MySQL database platform built on top of VitessA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
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
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accesswww.microsoft.com/­en-us/­sql-serverplanetscale.comquestdb.io
Technical documentationwww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-US/­sql/­sql-serverplanetscale.com/­docsquestdb.io/­docs
DeveloperClaris infoa subsidiary of AppleMicrosoftMicrosoftPlanetScaleQuestDB Technology Inc
Initial release19831992198920202014
Current release19.4.1, November 20211902 (16.0.11328.20222), March 2019SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial inforestricted free version is availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
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 languageC++C++GoJava (Zero-GC), C++, Rust
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Windows
Docker
Linux
macOS
Linux
macOS
Windows
Data schemeyesyesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 formatyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infovia pluginsyes infobut not compliant to any SQL standardyesyes infowith proprietary extensionsSQL with time-series extensions
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesPHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-engineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoproprietary syntaxno
Triggersyesyes infosince Access 2010 using the ACE-engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14noneyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACID at shard levelACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped files
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
FileMakerMicrosoft AccessMicrosoft SQL ServerPlanetScaleQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
FileMakerMicrosoft AccessMicrosoft SQL ServerPlanetScaleQuestDB
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