DBMS > Adabas vs. ArangoDB vs. Microsoft Azure Cosmos DB vs. Realm

System Properties Comparison Adabas vs. ArangoDB vs. Microsoft Azure Cosmos DB vs. Realm

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Editorial information provided by DB-Engines

Name

Description

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

used typically together with the Natural programming platform

A multi-model DBMS

Globally distributed, horizontally scalable, multi-model database service

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

Primary database model

Multivalue DBMS

Document store
Graph DBMS
Key-value store
Search engine

Document store
Graph DBMS
Key-value store
Wide column store

Document store

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

Score	4.34
Rank	#70	Overall
	#1	Multivalue DBMS

Score	4.87
Rank	#64	Overall
	#11	Document stores
	#4	Graph DBMS
	#12	Key-value stores
	#7	Search engines

Score	31.43
Rank	#24	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	8.27
Rank	#45	Overall
	#8	Document stores

Website

www.softwareag.com/corporate/products/adabas_natural/adabas/default.html

www.arangodb.com

azure.microsoft.com/services/cosmos-db

realm.io

Technical documentation

www.arangodb.com/documentation

docs.microsoft.com/en-us/azure/cosmos-db

realm.io/docs

Developer

Software AG

ArangoDB GmbH / triagens GmbH

Microsoft

Realm, acquired by MongoDB in May 2019

Initial release

1971

2012

2014

Current release

3.5.3, November 2019

License

Commercial or Open Source

commercial

Open Source info

Apache version 2

commercial

Open Source

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ArangoDB Oasis: Built and supported by the creators of ArangoDB, Oasis provides fully hosted, managed, and monitored cluster deployments of any size, with enterprise-grade security.

Implementation language

C, C++, JavaScript

Server operating systems

BS2000
Linux
Unix
Windows
z/OS
z/VSE

Linux
OS X
Raspbian
Solaris
Windows

hosted

Android
Backend: server-less
iOS
Windows

Data scheme

yes

schema-free info

automatically recognizes schema within a collection

schema-free

yes

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

JSON types

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All properties auto-indexed by default

yes

SQL

Support of SQL

yes

with add-on product Adabas SQL Gateway

SQL-like query language

APIs and other access methods

HTTP API

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

with add-on software Adabas SOA Gateway

HTTP API
JSON style queries

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

Supported programming languages

Natural

C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

.Net
Java

with Android only
Objective-C
React Native
Swift

Server-side scripts info

Stored procedures

in Natural

JavaScript

runs within the applications so server-side scripts are unnecessary

Triggers

JavaScript

yes

Change Listeners

Partitioning methods info

Methods for storing different data on different nodes

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

Sharding

since version 2.0

Sharding

Implicit feature of the cloud service

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, with add-on product Event Replicator

Master-slave replication

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency info

configurable per collection or per write
Immediate Consistency

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level
Session Consistency

Immediate Consistency

Foreign keys info

Referential integrity

Transaction concepts info

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

ACID

Multi-item ACID transactions with snapshot isolation within a partition

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

In-Memory realm

User concepts info

Access control

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

yes

Access rights can be defined down to the item level

yes

More information provided by the system vendor

Specific characteristics

Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more

Competitive advantages

Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more

Typical application scenarios

Mobile Consumer Apps First-Line Worker Apps
» more

Key customers

Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more

Market metrics

Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more

Licensing and pricing models

Realm database is licensed under the Apache License v2.0.
» more

News

ArangoDB and the Cloud Native Ecosystem
20 November 2019

Say Hi To ArangoDB Oasis: A Fully-Managed Multi-Model Database Service
14 November 2019

How we built our managed service on Kubernetes
25 October 2019

ArangoDB Hot Backup – Creating consistent cluster-wide snapshots
9 October 2019

ArangoML Pipeline – A Common Metadata Layer for Machine Learning Pipelines
25 September 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.