DBMS > Adabas vs. Amazon Redshift vs. Microsoft Azure AI Search vs. SurrealDB

System Properties Comparison Adabas vs. Amazon Redshift vs. Microsoft Azure AI Search vs. SurrealDB

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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

Large scale data warehouse service for use with business intelligence tools

Search-as-a-service for web and mobile app development

A fully ACID transactional, developer-friendly, multi-model DBMS

Primary database model

Multivalue DBMS

Relational DBMS

Search engine

Document store
Graph DBMS

Secondary database models

Vector DBMS

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

Score	2.64
Rank	#104	Overall
	#1	Multivalue DBMS

Score	15.25
Rank	#38	Overall
	#23	Relational DBMS

Score	5.75
Rank	#58	Overall
	#7	Search engines

Score	1.11
Rank	#174	Overall
	#30	Document stores
	#17	Graph DBMS

Website

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

aws.amazon.com/redshift

azure.microsoft.com/en-us/services/search

surrealdb.com

Technical documentation

docs.aws.amazon.com/redshift

learn.microsoft.com/en-us/azure/search

surrealdb.com/docs

Developer

Software AG

Amazon (based on PostgreSQL)

Microsoft

SurrealDB Ltd

Initial release

1971

2012

2015

2022

Current release

v1.5.0, May 2024

License

Commercial or Open Source

commercial

Open Source

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

Rust

Server operating systems

BS2000
Linux
Unix
Windows
z/OS
z/VSE

hosted

Linux
macOS
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.

Secondary indexes

yes

restricted

yes

SQL

Support of SQL

yes

with add-on product Adabas SQL Gateway

yes

does not fully support an SQL-standard

SQL-like query language

APIs and other access methods

HTTP API

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

with add-on software Adabas SOA Gateway

JDBC
ODBC

RESTful HTTP API

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

Natural

All languages supporting JDBC/ODBC

C#
Java
JavaScript
Python

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

in Natural

user defined functions

in Python

Triggers

Partitioning methods

Methods for storing different data on different nodes

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

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with add-on product Event Replicator

yes

Implicit feature of the cloud service

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

informational only, not enforced by the system

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.

yes

User concepts

Access control

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

fine grained access rights according to SQL-standard

yes

using Azure authentication

yes, based on authentication and database rules

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