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DBMS > FileMaker vs. Google BigQuery vs. MySQL vs. Oracle

System Properties Comparison FileMaker vs. Google BigQuery vs. MySQL vs. Oracle

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Large scale data warehouse service with append-only tablesWidely used open source RDBMSWidely used RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score55.86
Rank#22  Overall
#14  Relational DBMS
Score45.62
Rank#24  Overall
#16  Relational DBMS
Score1206.05
Rank#2  Overall
#2  Relational DBMS
Score1266.89
Rank#1  Overall
#1  Relational DBMS
Websitewww.claris.com/­filemakercloud.google.com/­bigquerywww.mysql.comwww.oracle.com/­database
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­bigquery/­docsdev.mysql.com/­docdocs.oracle.com/­en/­database
DeveloperFileMaker infoa subsidiary of AppleGoogleOracle infosince 2010, originally MySQL AB, then SunOracle
Initial release1983201019951980
Current release19.3.1, June 20218.0.28, January 202219c, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial inforestricted free version is 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.
ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC and C++C and C++
Server operating systemsiOS
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyesyes infoSchemaless in JSON and XML columns
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 formatnoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infovia pluginsyesyes infowith proprietary extensionsyes infowith proprietary extensions
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPHP.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptyes infoproprietary syntaxPL/SQL infoalso stored procedures in Java possible
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engineACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
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)Users with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
FileMakerGoogle BigQueryMySQLOracle
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