DBMS > GBase vs. Microsoft Azure AI Search

System Properties Comparison GBase vs. Microsoft Azure AI Search

Please select another system to include it in the comparison.

Our visitors often compare GBase and Microsoft Azure AI Search with Oracle, Microsoft SQL Server and PostgreSQL.

Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

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	1.32
Rank	#156	Overall
	#69	Relational DBMS

Score	5.27
Rank	#60	Overall
	#7	Search engines

Website

www.gbase.cn

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

Technical documentation

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

Developer

General Data Technology Co., Ltd.

Microsoft

Initial release

2004

2015

Current release

GBase 8a, GBase 8s, GBase 8c

License

Commercial or Open Source

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

C, Java, Python

Server operating systems

Linux

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.

yes

Secondary indexes

yes

SQL

Support of SQL

Standard with numerous extensions

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

RESTful HTTP API

Supported programming languages

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

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

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

yes

using Azure authentication

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

DeepSeek R1 is now available on Azure AI Foundry and GitHub
29 January 2025, azure.microsoft.com

How real-world businesses are transforming with AI – with 50 new stories
5 February 2025, blogs.microsoft.com

The next wave of Azure innovation: Azure AI Foundry, intelligent data, and more
19 November 2024, azure.microsoft.com

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, azure.microsoft.com

Fujitsu is revolutionizing sales efficiency with Azure AI Agent Service
30 January 2025, Microsoft

provided by Google News

Share this page