DBMS > FileMaker vs. Firebase Realtime Database vs. Oracle Rdb vs. YottaDB

System Properties Comparison FileMaker vs. Firebase Realtime Database vs. Oracle Rdb vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

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

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

A fast and solid embedded Key-value store

Primary database model

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	13.64
Rank	#39	Overall
	#6	Document stores

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

www.claris.com/filemaker

firebase.google.com/products/realtime-database

www.oracle.com/database/technologies/related/rdb.html

yottadb.com

Technical documentation

www.claris.com/resources/documentation

firebase.google.com/docs/database

www.oracle.com/database/technologies/related/rdb-doc.html

yottadb.com/resources/documentation

Developer

Claris

a subsidiary of Apple

Google

acquired by Google 2014

Oracle, originally developed by Digital Equipment Corporation (DEC)

YottaDB, LLC

Initial release

1983

2012

1984

2001

Current release

19.4.1, November 2021

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Open Source

AGPL 3.0

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

Server operating systems

iOS

client part only
Linux
OS X
Windows

hosted

HP Open VMS

Docker
Linux

Data scheme

yes

schema-free

Flexible Schema (defined schema, partial schema, schema free)

schema-free

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

by using the Octo plugin

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

Android
iOS
JavaScript API
RESTful HTTP API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

PHP

Java
JavaScript
Objective-C

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

limited functionality with using 'rules'

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

yes, on a single node

optimistic locking

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.

yes

User concepts

Access control

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

yes, based on authentication and database rules

Users and groups based on OS-security mechanisms

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More resources

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