DBMS > 4D vs. atoti vs. GeoMesa vs. IBM Db2 warehouse vs. MaxDB

System Properties Comparison 4D vs. atoti vs. GeoMesa vs. IBM Db2 warehouse vs. MaxDB

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Cloud-based data warehousing service

A robust and reliable RDBMS optimized to run all major SAP solutions

Primary database model

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.78
Rank	#213	Overall
	#4	Spatial DBMS

Score	1.30
Rank	#164	Overall
	#75	Relational DBMS

Score	2.32
Rank	#112	Overall
	#55	Relational DBMS

Website

www.4d.com

atoti.io

www.geomesa.org

www.ibm.com/products/db2/warehouse

maxdb.sap.com

Technical documentation

developer.4d.com

docs.atoti.io

www.geomesa.org/documentation/stable/user/index.html

maxdb.sap.com/documentation

Developer

4D, Inc

ActiveViam

CCRi and others

IBM

SAP, acquired from Software AG (Adabas-D) in 1997

Initial release

1984

2014

1984

Current release

v20, April 2023

4.0.5, February 2024

7.9.10.12, February 2024

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache License 2.0

commercial

Limited community edition free

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

Java

Scala

C++

Server operating systems

OS X
Windows

hosted

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

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

Import/export of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

Multidimensional Expressions (MDX)

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

.NET Client API
JDBC
ODBC
OLE DB

ADO.NET
JDBC
ODBC
WebDAV

Supported programming languages

4D proprietary IDE
PHP

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

.Net
C#
Java
Perl
PHP
Python

Server-side scripts

Stored procedures

yes

Python

PL/SQL, SQL PL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, horizontal partitioning

depending on storage layer

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

depending on storage layer

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

depending on storage layer

yes

User concepts

Access control

Users and groups

yes

depending on the DBMS used for storage

fine grained access rights according to SQL-standard

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