DBMS > 4D vs. H2GIS vs. Sequoiadb

System Properties Comparison 4D vs. H2GIS vs. Sequoiadb

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Spatial extension of H2

NewSQL database with distributed OLTP and SQL

Primary database model

Relational DBMS

Spatial DBMS

Document store
Relational DBMS

Secondary database models

Relational DBMS

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	0.45
Rank	#261	Overall
	#41	Document stores
	#122	Relational DBMS

Website

www.4d.com

www.h2gis.org

www.sequoiadb.com

Technical documentation

developer.4d.com

www.h2gis.org/docs/home

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

Developer

4D, Inc

CNRS

Sequoiadb Ltd.

Initial release

1984

2013

Current release

v20, April 2023

License

Commercial or Open Source

commercial

Open Source

LGPL 3.0

Open Source

Server: AGPL; Client: Apache V2

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

OS X
Windows

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

yes

SQL-like query language

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

proprietary protocol using JSON

Supported programming languages

4D proprietary IDE
PHP

Java

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

yes

based on H2

JavaScript

Triggers

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

based on H2

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Document is locked during a transaction

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

yes

based on H2

simple password-based access control

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