DBMS > 4D vs. Derby vs. Kinetica vs. Oracle Coherence

System Properties Comparison 4D vs. Derby vs. Kinetica vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Fully vectorized database across both GPUs and CPUs

Oracles in-memory data grid solution

Primary database model

Relational DBMS

Key-value store

Secondary database models

Spatial DBMS
Time Series DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	4.60
Rank	#70	Overall
	#38	Relational DBMS

Score	0.66
Rank	#234	Overall
	#107	Relational DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Website

www.4d.com

db.apache.org/derby

www.kinetica.com

www.oracle.com/java/coherence

Technical documentation

developer.4d.com

db.apache.org/derby/manuals/index.html

docs.kinetica.com

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

Developer

4D, Inc

Apache Software Foundation

Kinetica

Oracle

Initial release

1984

1997

2012

2007

Current release

v20, April 2023

10.17.1.0, November 2023

7.1, August 2021

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

Apache version 2

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

C, C++

Java

Server operating systems

OS X
Windows

All OS with a Java VM

Linux

All OS with a Java VM

Data scheme

yes

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

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

yes

SQL-like DML and DDL statements

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC

JDBC
ODBC
RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

4D proprietary IDE
PHP

Java

C++
Java
JavaScript (Node.js)
Python

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Java Stored Procedures

user defined functions

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

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

Source-replica 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

Immediate Consistency or Eventual Consistency depending on configuration

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

In-memory capabilities

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

yes

GPU vRAM or System RAM

yes

User concepts

Access control

Users and groups

fine grained access rights according to SQL-standard

Access rights for users and roles on table level

authentification to access the cache via certificates or http basic authentication

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