DBMS > 4D vs. Oracle Coherence vs. Valentina Server

System Properties Comparison 4D vs. Oracle Coherence vs. Valentina Server

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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

Object-relational database and reports server

Primary database model

Relational DBMS

Key-value store

Relational DBMS

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

Score	2.88
Rank	#114	Overall
	#58	Relational DBMS

Score	2.67
Rank	#121	Overall
	#24	Key-value stores

Score	0.40
Rank	#291	Overall
	#133	Relational DBMS

Website

www.4d.com

www.oracle.com/middleware/technologies/coherence.html

www.valentina-db.net

Technical documentation

livedoc.4d.com

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

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

4D, Inc

Oracle

Paradigma Software

Initial release

1984

2007

1999

Current release

v18 R5, January 2021

12c, September 2016

5.7.5

License

Commercial or Open Source

commercial

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

OS X
Windows

All OS with a Java VM

Linux
OS X
Windows

Data scheme

yes

schema-free

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

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JCache
JPA
RESTful HTTP API

ODBC

Supported programming languages

4D proprietary IDE
PHP

.Net
C++
Java

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

Triggers

yes

Live Events

yes

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

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

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

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Recent citations in the news

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