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DBMS > Faircom DB vs. FileMaker vs. Microsoft Azure AI Search vs. RDF4J

System Properties Comparison Faircom DB vs. FileMaker vs. Microsoft Azure AI Search vs. RDF4J

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Search-as-a-service for web and mobile app developmentRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value store
Relational DBMS
Relational DBMSSearch engineRDF store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.faircom.com/­products/­faircom-dbwww.claris.com/­filemakerazure.microsoft.com/­en-us/­services/­searchrdf4j.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.claris.com/­resources/­documentationlearn.microsoft.com/­en-us/­azure/­searchrdf4j.org/­documentation
DeveloperFairCom CorporationClaris infoa subsidiary of AppleMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release1979198320152004
Current releaseV12, November 202019.4.1, November 2021V1
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
iOS infoclient part only
Linux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Data schemeschema free, schema optional, schema required, partial schema,yesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyes infovia pluginsnono
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
PHPC#
Java
JavaScript
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication, warm standby infosince Version 14yes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filessimple rights management via user accounts and connection to external directory servicesyes infousing Azure authenticationno

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More resources
Faircom DB infoformerly c-treeACEFileMakerMicrosoft Azure AI SearchRDF4J infoformerly known as Sesame
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