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Azure OpenAI vs Hugging Face comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.4
Azure OpenAI boosts productivity by 40%, reduces costs by 30-40%, and accelerates project completion with notable immediate benefits.
No sentiment score available
 

Customer Service

Sentiment score
5.8
Azure OpenAI's support is professional yet inconsistent, with subscription users receiving better assistance than free users.
No sentiment score available
 

Scalability Issues

Sentiment score
6.6
Azure OpenAI is scalable but faces challenges with high loads, costs, and regional capacity, affecting ROI in smaller deployments.
Sentiment score
6.9
Hugging Face is seen as versatile and scalable, though some question its production readiness and focus on knowledge scaling.
 

Stability Issues

Sentiment score
7.7
Azure OpenAI is praised for stability despite occasional performance issues, generally offering a reliable experience during high usage.
Sentiment score
8.0
Hugging Face is rated as stable and reliable, with minor issues like rate-limited APIs noted by some users.
 

Room For Improvement

Azure OpenAI must improve model fine-tuning, language support, integration, stability, scalability, and user services amidst technological updates.
Improve Hugging Face by enhancing search, security, documentation, cloud data, collaboration, deployment customization, and model details.
 

Setup Cost

Hugging Face provides flexible pricing models with open-source options but cloud deployment may incur additional costs.
 

Valuable Features

Azure OpenAI excels in automation, accuracy, and adaptability, integrating smoothly with tools to enhance productivity and support versatile applications.
Hugging Face provides open-source AI tools, rich documentation, and an easy interface for efficient exploration and model comparison.
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
30
Ranking in other categories
No ranking in other categories
Hugging Face
Ranking in AI Development Platforms
5th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the AI Development Platforms category, the mindshare of Azure OpenAI is 22.2%, up from 18.4% compared to the previous year. The mindshare of Hugging Face is 7.9%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Anup Karade - PeerSpot reviewer
Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions
We have created our own platform called CanvasAI. It provides machine-learning plumbing and integration with your services. So, we've integrated Azure OpenAI through Canvas. We're also looking at some hard interface modeling from AWS as well. We access Azure OpenAI solutions for our business workflow via the platform, not directly from the service provider. There are security considerations we're working through with the security team, etc. Canvas provides the control plane, which handles RBAC for user registration and model management. For internal processes, we're using OpenAI to create partner call reports, like summarizing quarterly zip code data and other financial models. We also use it for legal and contract stuff, like comparing SOWs and contracts. For user experience, we've created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions.
AshishKumar11 - PeerSpot reviewer
Open-sourced, reliable, and enables organizations to finetune data for business requirements
Hugging Face is a website that provides various open-source models. We use them to finetune models for our business. It is just like ChatGPT, but ChatGPT has paid sources. If we have to call an API, we must pay for it. However, Hugging Face has various open-source models like Llama 2 and Llama 3…
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
11%
Educational Organization
6%
Manufacturing Company
11%
Computer Software Company
11%
University
10%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Azure OpenAI?
The product is easy to integrate with our IT workflow.
What is your experience regarding pricing and costs for Azure OpenAI?
The pricing really depends on the specific requirements and underlying needs. For example, if the goal is to implement innovative solutions for the future or to improve productivity in decision-mak...
What needs improvement with Azure OpenAI?
For my needs, when working with interactive dashboards, it's expensive. I would prefer a system that provides alternative dashboard options or allows me to go directly into the program and pinpoint...
What do you like most about Hugging Face?
My preferred aspects are natural language processing and question-answering.
What needs improvement with Hugging Face?
Hugging Face could improve by implementing a search engine or chat bot feature similar to ChatGPT. This would aid developers in easily finding how to fine-tune models with specific data or get mode...
What is your primary use case for Hugging Face?
I use Hugging Face primarily to work with open LLM models. I recently started using the open LOM models and also use embedding models. I use these models to train custom data and monitor our deskto...
 

Learn More

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Overview

Find out what your peers are saying about Azure OpenAI vs. Hugging Face and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.