DBMS > atoti vs. FileMaker vs. Interbase vs. RDF4J

System Properties Comparison atoti vs. FileMaker vs. Interbase vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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

Light-weight proven RDBMS

originally from Borland

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Object oriented DBMS

Relational DBMS

RDF store

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	4.61
Rank	#72	Overall
	#39	Relational DBMS

Score	0.69
Rank	#230	Overall
	#9	RDF stores

Website

atoti.io

www.claris.com/filemaker

www.embarcadero.com/products/interbase

rdf4j.org

Technical documentation

docs.atoti.io

www.claris.com/resources/documentation

docs.embarcadero.com/products/interbase

rdf4j.org/documentation

Developer

ActiveViam

Claris

a subsidiary of Apple

Embarcadero

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

1983

1984

2004

Current release

19.4.1, November 2021

InterBase 2020, December 2019

License

Commercial or Open Source

commercial

free versions available

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

iOS

client part only
Linux
OS X
Windows

Android
iOS
Linux
OS X
Windows

Linux
OS X
Unix
Windows

Data scheme

yes

RDF Schemas

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

export as XML data possible

Secondary indexes

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

yes

via plugins

yes

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

ADO.NET
JDBC
ODBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

PHP

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

Java
PHP
Python

Server-side scripts

Stored procedures

Python

yes

Interbase procedure and trigger language

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

Interbase Change Views

none

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

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Multiversion concurreny control

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities

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

yes

User concepts

Access control

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

fine grained access rights according to SQL-standard

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