DBMS > 4D vs. OpenEdge vs. Oracle Coherence vs. Sphinx

System Properties Comparison 4D vs. OpenEdge vs. Oracle Coherence vs. Sphinx

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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

Open source search engine for searching in data from different sources, e.g. relational databases

Primary database model

Relational DBMS

Key-value store

Search engine

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	3.51
Rank	#86	Overall
	#46	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	5.98
Rank	#56	Overall
	#5	Search engines

Website

www.4d.com

www.progress.com/openedge

www.oracle.com/java/coherence

sphinxsearch.com

Technical documentation

developer.4d.com

documentation.progress.com/output/ua/OpenEdge_latest

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

sphinxsearch.com/docs

Developer

4D, Inc

Progress Software Corporation

Oracle

Sphinx Technologies Inc.

Initial release

1984

2007

2001

Current release

v20, April 2023

OpenEdge 12.2, March 2020

14.1, August 2023

3.5.1, February 2023

License

Commercial or Open Source

commercial

Open Source

GPL version 2, commercial licence available

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

AIX
HP-UX
Linux
Solaris
Windows

All OS with a Java VM

FreeBSD
Linux
NetBSD
OS X
Solaris
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

full-text index on all search fields

SQL

Support of SQL

yes

close to SQL 92

yes

close to SQL 92

SQL-like query language (SphinxQL)

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC

JCache
JPA
RESTful HTTP API

Proprietary protocol

Supported programming languages

4D proprietary IDE
PHP

Progress proprietary ABL (Advanced Business Language)

.Net
C++
Java

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

Server-side scripts

Stored procedures

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

since Version 11.4

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

yes, with selectable consistency level

none

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

The original contents of fields are not stored in the Sphinx index.

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

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