DBMS > 4D vs. Alibaba Cloud PolarDB vs. FileMaker vs. OrigoDB

System Properties Comparison 4D vs. Alibaba Cloud PolarDB vs. FileMaker vs. OrigoDB

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

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

A fully ACID in-memory object graph database

Primary database model

Relational DBMS

Document store
Object oriented DBMS

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

Score	2.37
Rank	#110	Overall
	#54	Relational DBMS

Score	0.82
Rank	#205	Overall
	#97	Relational DBMS

Score	45.20
Rank	#20	Overall
	#14	Relational DBMS

Score	0.00
Rank	#385	Overall
	#54	Document stores
	#21	Object oriented DBMS

Website

www.4d.com

www.alibabacloud.com/product/polardb

www.claris.com/filemaker

origodb.com

Technical documentation

developer.4d.com

www.alibabacloud.com/help/en/polardb/product-overview

www.claris.com/resources/documentation

origodb.com/docs

Developer

4D, Inc

Alibaba

Claris

a subsidiary of Apple

Robert Friberg et al

Initial release

1984

1983

2009

under the name LiveDB

Current release

v20, April 2023

19.4.1, November 2021

License

Commercial or Open Source

commercial

Open Source

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

OS X
Windows

hosted

iOS

client part only
Linux
OS X
Windows

Linux
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

yes

via plugins

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC

Filemaker WebDirect
JDBC
ODBC

.NET Client API
HTTP API
LINQ

Supported programming languages

4D proprietary IDE
PHP

Java
Python

PHP

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

none

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

Implicit feature of the cloud service

Source-replica replication, warm standby

since Version 14

Source-replica replication

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

depending on model

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

Write ahead log

In-memory capabilities

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

yes

User concepts

Access control

Users and groups

fine grained access rights according to SQL-standard

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

Role based authorization

More information provided by the system vendor

Specific characteristics

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Typical application scenarios

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Licensing and pricing models

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