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DBMS > FileMaker vs. Google Cloud Datastore vs. Interbase vs. Microsoft Access vs. Oracle Coherence

System Properties Comparison FileMaker vs. Google Cloud Datastore vs. Interbase vs. Microsoft Access vs. Oracle Coherence

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLight-weight proven RDBMS infooriginally from BorlandMicrosoft 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.)Oracles in-memory data grid solution
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score55.86
Rank#22  Overall
#14  Relational DBMS
Score4.84
Rank#76  Overall
#11  Document stores
Score6.13
Rank#63  Overall
#35  Relational DBMS
Score128.95
Rank#9  Overall
#6  Relational DBMS
Score2.55
Rank#110  Overall
#20  Key-value stores
Websitewww.claris.com/­filemakercloud.google.com/­datastorewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­middleware/­technologies/­coherence.html
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperFileMaker infoa subsidiary of AppleGoogleEmbarcaderoMicrosoftOracle
Initial release19832008198419922007
Current release19.3.1, June 2021InterBase 2020, December 20191902 (16.0.11328.20222), March 201912c, September 2016
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsiOS
OS X
Windows
hostedAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAll OS with a Java VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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 formatnono infoexport as XML data possibleno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infovia pluginsSQL-like query language (GQL)yesyes infobut not compliant to any SQL standardno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
Supported programming languagesPHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
Server-side scripts infoStored proceduresyesusing Google App Engineyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineno
TriggersyesCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engineyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication using PaxosInterbase Change Viewsnoneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infobut no files for transaction loggingconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authentication

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More resources
FileMakerGoogle Cloud DatastoreInterbaseMicrosoft AccessOracle Coherence
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