DBMS > Adabas vs. Realm vs. ReductStore vs. searchxml

System Properties Comparison Adabas vs. Realm vs. ReductStore vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

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

used typically together with the Natural programming platform

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Multivalue DBMS

Document store

Time Series DBMS

Native XML DBMS
Search engine

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

Score	2.79
Rank	#102	Overall
	#2	Multivalue DBMS

Score	7.41
Rank	#52	Overall
	#8	Document stores

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	0.03
Rank	#390	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

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

realm.io

github.com/reductstore
www.reduct.store

www.searchxml.net/category/products

Technical documentation

realm.io/docs

www.reduct.store/docs

www.searchxml.net/support/handouts

Developer

Software AG

Realm, acquired by MongoDB in May 2019

ReductStore LLC

informationpartners gmbh

Initial release

1971

2014

2023

2015

Current release

1.9, March 2024

1.0

License

Commercial or Open Source

commercial

Open Source

Business Source License 1.1

commercial

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

C++, Rust

C++

Server operating systems

BS2000
Linux
Unix
Windows
z/OS
z/VSE

Android
Backend: server-less
iOS
Windows

Docker
Linux
macOS
Windows

Windows

Data scheme

yes

schema-free

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

SQL

Support of SQL

yes

with add-on product Adabas SQL Gateway

APIs and other access methods

HTTP API

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

with add-on software Adabas SOA Gateway

HTTP API

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

Natural

.Net
Java

with Android only
Objective-C
React Native
Swift

C++
JavaScript (Node.js)
Python
Rust

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

in Natural

runs within the applications so server-side scripts are unnecessary

yes

on the application server

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with add-on product Event Replicator

none

yes

sychronisation to multiple collections

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

Transaction concepts

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

ACID

multiple readers, single writer

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

In-Memory realm

User concepts

Access control

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

yes

Domain, group and role-based access control at the document level and for application services

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More resources

DB-Engines blog posts

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2 March 2016, Paul Andlinger

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Recent citations in the news

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