DBMS > 4D vs. Coveo vs. jBASE vs. Kingbase vs. SiteWhere

System Properties Comparison 4D vs. Coveo vs. jBASE vs. Kingbase vs. SiteWhere

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

A robust multi-value DBMS comprising development tools and middleware

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

M2M integration platform for persisting/querying time series data

Primary database model

Secondary database models

Document store
Spatial DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	2.11
Rank	#118	Overall
	#11	Search engines

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	0.50
Rank	#257	Overall
	#119	Relational DBMS

Score	0.06
Rank	#383	Overall
	#43	Time Series DBMS

Website

www.4d.com

www.coveo.com

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

www.kingbase.com.cn

github.com/sitewhere/sitewhere

Technical documentation

developer.4d.com

docs.coveo.com

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

sitewhere1.sitewhere.io/index.html

Developer

4D, Inc

Coveo

Rocket Software (formerly Zumasys)

BeiJing KINGBASE Information technologies inc.

SiteWhere

Initial release

1984

2012

1991

1999

2010

Current release

v20, April 2023

5.7

V8.0, August 2021

License

Commercial or Open Source

commercial

Open Source

Common Public Attribution License Version 1.0

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

C and Java

Java

Server operating systems

OS X
Windows

hosted

AIX
Linux
Windows

Linux
Windows

Linux
OS X
Windows

Data scheme

yes

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

schema-free

yes

predefined scheme

Typing

predefined data types such as float or date

yes

optional

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

Embedded SQL for jBASE in BASIC

Standard with numerous extensions

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

RESTful HTTP API

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

HTTP REST

Supported programming languages

4D proprietary IDE
PHP

C#
Java
JavaScript
Python

.Net
Basic
Jabbascript
Java

.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Sharding

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

selectable replication factor

based on HBase

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

Transaction concepts

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

ACID

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

granular access controls, API key management, content filters

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

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