DBMS > 4D vs. Adabas vs. Coveo vs. ITTIA vs. Lovefield

System Properties Comparison 4D vs. Adabas vs. Coveo vs. ITTIA vs. Lovefield

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

OLTP - DBMS for mainframes and Linux/Unix/Windows environments

used typically together with the Natural programming platform

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

Edge Time Series DBMS with Real-Time Stream Processing

Embeddable relational database for web apps written in pure JavaScript

Primary database model

Secondary database models

Relational DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	2.79
Rank	#102	Overall
	#2	Multivalue DBMS

Score	2.11
Rank	#118	Overall
	#11	Search engines

Score	0.44
Rank	#267	Overall
	#23	Time Series DBMS

Score	0.33
Rank	#286	Overall
	#131	Relational DBMS

Website

www.4d.com

www.softwareag.com/en_corporate/platform/adabas-natural.html

www.coveo.com

www.ittia.com

google.github.io/lovefield

Technical documentation

developer.4d.com

docs.coveo.com

github.com/google/lovefield/blob/master/docs/spec_index.md

Developer

4D, Inc

Software AG

Coveo

ITTIA L.L.C.

Google

Initial release

1984

1971

2012

2007

2014

Current release

v20, April 2023

8.7

2.1.12, February 2017

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

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 C++

JavaScript

Server operating systems

OS X
Windows

BS2000
Linux
Unix
Windows
z/OS
z/VSE

hosted

Linux
Windows

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Data scheme

yes

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

Fixed schema

yes

Typing

predefined data types such as float or date

yes

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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

with add-on product Adabas SQL Gateway

yes

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HTTP API

with add-on software Adabas SOA Gateway
SOAP-based API

with add-on software Adabas SOA Gateway

RESTful HTTP API

JDBC
ODBC
RESTful HTTP API
WebSocket

Supported programming languages

4D proprietary IDE
PHP

Natural

C#
Java
JavaScript
Python

C
C++
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

yes

in Natural

yes

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

none

yes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vista

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes, with add-on product Event Replicator

yes

none

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

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

In-memory capabilities

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

yes

using MemoryDB

User concepts

Access control

Users and groups

only with OS-specific tools (e.g. IBM RACF, CA Top Secret)

granular access controls, API key management, content filters

Database file passwords

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More resources

DB-Engines blog posts

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