DBMS > Adabas vs. FaunaDB vs. mSQL vs. STSdb

System Properties Comparison Adabas vs. FaunaDB vs. mSQL vs. STSdb

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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

FaunaDB provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.

mSQL (Mini SQL) is a simple and lightweight RDBMS

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Multivalue DBMS

Document store
Graph DBMS
Relational DBMS
Time Series DBMS

Relational DBMS

Key-value store

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

Score	4.99
Rank	#75	Overall
	#1	Multivalue DBMS

Score	1.91
Rank	#127	Overall
	#21	Document stores
	#9	Graph DBMS
	#64	Relational DBMS
	#9	Time Series DBMS

Score	1.75
Rank	#130	Overall
	#66	Relational DBMS

Score	0.14
Rank	#290	Overall
	#45	Key-value stores

Website

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

fauna.com

hughestech.com.au/products/msql

github.com/STSSoft/STSdb4

Technical documentation

docs.fauna.com

Developer

Software AG

Fauna, Inc.

Hughes Technologies

STS Soft SC

Initial release

1971

2014

1994

2011

Current release

4.2, April 2019

4.0.8, September 2015

License

Commercial or Open Source

commercial

free licenses can be provided

Open Source

GPLv2, commercial license available

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

Scala

Server operating systems

BS2000
Linux
Unix
Windows
z/OS
z/VSE

hosted

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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.

Secondary indexes

yes

SQL

Support of SQL

yes

with add-on product Adabas SQL Gateway

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

HTTP API

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

with add-on software Adabas SOA Gateway

RESTful HTTP API

JDBC
ODBC

.NET Client API

Supported programming languages

Natural

C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift

C
C++
Delphi
Java
Perl
PHP
Tcl

C#
Java

Server-side scripts

Stored procedures

in Natural

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

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

horizontal partitioning

consistent hashing

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with add-on product Event Replicator

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

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

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.

User concepts

Access control

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

Identity management, authentication, and access control

More information provided by the system vendor

Specific characteristics

Flexible query model that combines GraphQL with custom business logic Effortlessly...
» more

Competitive advantages

Native GraphQL support with automatic mutations for easy on-ramp Native GraphQL,...
» more

Typical application scenarios

Javascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more

Key customers

ShiftX
» more

Licensing and pricing models

Usage-based pricing including a free tier
» more

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

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