DBMS > DataFS vs. FileMaker vs. MaxDB vs. Microsoft Azure AI Search

System Properties Comparison DataFS vs. FileMaker vs. MaxDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines

Name

Description

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

A robust and reliable RDBMS optimized to run all major SAP solutions

Search-as-a-service for web and mobile app development

Primary database model

Object oriented DBMS

Relational DBMS

Search engine

Secondary database models

Graph DBMS

Vector DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	2.26
Rank	#114	Overall
	#55	Relational DBMS

Score	5.52
Rank	#59	Overall
	#6	Search engines

Website

newdatabase.com

www.claris.com/filemaker

maxdb.sap.com

azure.microsoft.com/en-us/services/search

Technical documentation

dev.mobiland.com/Overview.xsp

www.claris.com/resources/documentation

maxdb.sap.com/documentation

learn.microsoft.com/en-us/azure/search

Developer

Mobiland AG

Claris

a subsidiary of Apple

SAP, acquired from Software AG (Adabas-D) in 1997

Microsoft

Initial release

2018

1983

1984

2015

Current release

1.1.263, October 2022

19.4.1, November 2021

7.9.10.12, February 2024

License

Commercial or Open Source

commercial

Limited community edition free

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

Windows

iOS

client part only
Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

hosted

Data scheme

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

A http query request can return the data in XML format

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

yes

APIs and other access methods

.NET Client API
Proprietary client DLL
WinRT client

Filemaker WebDirect
JDBC
ODBC

ADO.NET
JDBC
ODBC
WebDAV

RESTful HTTP API

Supported programming languages

.Net
C
C#
C++
VB.Net

PHP

.Net
C#
Java
Perl
PHP
Python

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

no, except callback-events from server when changes happened

yes

Partitioning methods

Methods for storing different data on different nodes

Proprietary Sharding system

none

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

Source-replica replication

yes

Implicit feature of the cloud service

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Windows-Profile

simple rights management via user accounts and connection to external directory services

fine grained access rights according to SQL-standard

yes

using Azure authentication

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