DBMS > 4D vs. Oracle Coherence vs. Sequoiadb

System Properties Comparison 4D vs. Oracle Coherence vs. Sequoiadb

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Oracles in-memory data grid solution

NewSQL database with distributed OLTP and SQL

Primary database model

Relational DBMS

Key-value store

Document store
Relational DBMS

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

Score	2.02
Rank	#115	Overall
	#56	Relational DBMS

Score	1.69
Rank	#130	Overall
	#22	Key-value stores

Score	0.38
Rank	#263	Overall
	#41	Document stores
	#121	Relational DBMS

Website

www.4d.com

www.oracle.com/java/coherence

www.sequoiadb.com

Technical documentation

developer.4d.com

docs.oracle.com/en/middleware/standalone/coherence

www.sequoiadb.com/en/index.php?m=Files&a=index

Developer

4D, Inc

Oracle

Sequoiadb Ltd.

Initial release

1984

2007

2013

Current release

v20, April 2023

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

Server: AGPL; Client: Apache V2

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

C++

Server operating systems

OS X
Windows

All OS with a Java VM

Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-like query language

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JCache
JPA
RESTful HTTP API

proprietary protocol using JSON

Supported programming languages

4D proprietary IDE
PHP

.Net
C++
Java

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

yes

JavaScript

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes, with selectable consistency level

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

Eventual Consistency
Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Document is locked during a transaction

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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

Users and groups

authentification to access the cache via certificates or http basic authentication

simple password-based access control

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