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DBMS > FileMaker vs. IBM Cloudant vs. Interbase vs. Prometheus vs. TimescaleDB

System Properties Comparison FileMaker vs. IBM Cloudant vs. Interbase vs. Prometheus vs. TimescaleDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonInterbase  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Database as a Service offering based on Apache CouchDBLight-weight proven RDBMS infooriginally from BorlandOpen-source Time Series DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.claris.com/­filemakerwww.ibm.com/­products/­cloudantwww.embarcadero.com/­products/­interbaseprometheus.iowww.timescale.com
Technical documentationwww.claris.com/­resources/­documentationcloud.ibm.com/­docs/­Cloudantdocs.embarcadero.com/­products/­interbaseprometheus.io/­docsdocs.timescale.com
DeveloperClaris infoa subsidiary of AppleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014EmbarcaderoTimescale
Initial release19832010198420152017
Current release19.4.1, November 2021InterBase 2020, December 20192.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageErlangCGoC
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedAndroid
iOS
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlynumerics, 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 formatnono infoexport as XML data possibleno infoImport of XML data possibleyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infovia pluginsnoyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesPHPC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesView functions (Map-Reduce) in JavaScriptyes infoInterbase procedure and trigger languagenouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
Interbase Change Viewsyes infoby FederationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
FileMakerIBM CloudantInterbasePrometheusTimescaleDB
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