DBMS > Amazon Redshift vs. Datomic vs. dBASE vs. Microsoft Azure AI Search

System Properties Comparison Amazon Redshift vs. Datomic vs. dBASE vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

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

Primary database model

Relational DBMS

Search engine

Secondary database models

Vector DBMS

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

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	1.66
Rank	#144	Overall
	#66	Relational DBMS

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	5.52
Rank	#59	Overall
	#6	Search engines

Website

aws.amazon.com/redshift

www.datomic.com

www.dbase.com

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

Technical documentation

docs.aws.amazon.com/redshift

docs.datomic.com

www.dbase.com/support/knowledgebase

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

Developer

Amazon (based on PostgreSQL)

Cognitect

Asthon Tate

Microsoft

Initial release

2012

1979

2015

Current release

1.0.6735, June 2023

dBASE 2019, 2019

License

Commercial or Open Source

commercial

limited edition free

commercial

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

Java, Clojure

Server operating systems

hosted

All OS with a Java VM

DOS

dBase Classic
Windows

dBase Pro

hosted

Data scheme

yes

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

APIs and other access methods

JDBC
ODBC

RESTful HTTP API

none

The IDE can access other DBMS or ODBC-sources.

RESTful HTTP API

Supported programming languages

All languages supporting JDBC/ODBC

Clojure
Java

dBase proprietary IDE

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

in Python

yes

Transaction Functions

The IDE can access stored procedures in other database systems.

Triggers

By using transaction functions

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

But extensive use of caching in the application peers

none

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

But extensive use of caching in the application peers

none

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

yes

Transaction concepts

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

ACID

not for dBase internal data, but IDE does support transactions when accessing external DBMS

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

In-memory capabilities

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

yes

recommended only for testing and development

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

yes

using Azure authentication

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