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Azure OpenAI vs TensorFlow comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
1st
Average Rating
8.0
Number of Reviews
30
Ranking in other categories
No ranking in other categories
TensorFlow
Ranking in AI Development Platforms
6th
Average Rating
8.8
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the AI Development Platforms category, the mindshare of Azure OpenAI is 22.2%, up from 17.3% compared to the previous year. The mindshare of TensorFlow is 5.7%, down from 9.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Anup Karade - PeerSpot reviewer
Feb 28, 2024
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.
Ashish Upadhyay - PeerSpot reviewer
Nov 6, 2023
A robust tools for model visualization and debugging with superior scalability and stability, and an intuitive user-friendly interface
The one feature we find most valuable at our company is its robust and flexible machine-learning capabilities. It empowers us to seamlessly create and deploy machine learning models, offering a versatile solution for implementing sophisticated environments and various types of AI solutions. The ability to develop and fine-tune models, such as risk assessment for detection and market protection, as well as the creation of recommendation systems, is paramount. This versatility extends to providing personalized identity-relevant applications for our enterprise clients, delivering valuable insights to the market. Its exceptional support for deep learning and its efficient resource utilization enable us to undertake complex financial and data analyses. The flexibility it provides is crucial for meeting industrial requirements and crafting solutions tailored to our client's specific needs.

Quotes from Members

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

Pros

"The product is easy to integrate with our IT workflow."
"Azure OpenAI is easy to use because the endpoints are created, and we just need to pass our parameters and info."
"The product's initial setup phase was pretty easy."
"GPT was useful for our projects."
"You just have to write accurate prompts according to your requirements, and the solution gives very good results."
"It is easy to integrate and develop a solution. Most customers are concerned about the security of their data and how cost-effective it is. We have developed some methodologies so that our customers will not be charged too much for these OpenAI services but will still get the same kind of performance and results. It's all developed on Azure, so customers also see its benefit."
"Generative AI or GenAI seems to be the best part of the solution."
"We have many use cases for the solution, such as digitalizing records, a chatbot looking at records, and being able to use generative AI on them."
"It empowers us to seamlessly create and deploy machine learning models, offering a versatile solution for implementing sophisticated environments and various types of AI solutions."
"Optimization is very good in TensorFlow. There are many opportunities to do hyper-parameter training."
"TensorFlow improves my organization because our clients get a lot of investment from their investors and we are progressively improving the products. Every six months we release new features."
"The available documentation is extensive and helpful."
"It is easy to use and learn."
"TensorFlow provides Insights into both data and machine learning strategies."
"It's got quite a big community, which is useful."
"The most valuable features are the frameworks and the functionality to work with different data, even when we have a certain quantity of data flowing."
 

Cons

"Sometimes, it gives answers in English, even when the request is in Polish."
"One area for improvement is providing more flexibility in configuration and connectivity with external tools."
"Since we don't train the model on our data, it's a struggle to ensure OpenAI answers questions exclusively from our data. During user testing, we found ways to make the system provide answers from outside sources."
"There are no available updates of information that are currently provided."
"The fine-tuning of models with the use of Azure OpenAI is an area with certain shortcomings currently, and it can be considered for improvement in the future."
"One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use."
"We are awaiting the new updates like multi-model capabilities."
"Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required."
"There are connection issues that interrupt the download needed for the data sets. We need to prepare them ourselves."
"However, if I want to change just one thing in the implementation of TensorFlow functions I have to copy everything that they wrote and I change it manually if indeed it can be amended. This is really hard as it's written in C++ and has a lot of complications."
"It would be cool if TensorFlow could make it easier for companies like us to program for running it across different hyperscalers."
"Personally, I find it to be a bit too much AI-oriented."
"The process of creating models could be more user-friendly."
"In terms of improvement, we always look for ways they can optimize the model, accelerate the speed and the accuracy, and how can we optimize with our different techniques. There are various techniques available in TensorFlow. Maintaining accuracy is an area they should work on."
"Enhancements could include increasing use cases and improving the accuracy of previously built models in TensorFlow. For instance, when we run certain models, the computing power of laptops becomes high."
"It would be nice to have more pre-trained models that we can utilize within layers. I utilize a Mac, and I am unable to utilize AMD GPUs. That's something that I would definitely be like to be able to access within TensorFlow since most of it is with CUDA ML. This only matters for local machines because, in Azure, you can just access any GPU you want from the cloud. It doesn't really matter, but the clients that I work with don't have cloud accounts, or they don't want to utilize that or spend the money. They all see it as too expensive and want to know what they can do on their local machines."
 

Pricing and Cost Advice

"If you consider the long-term aspect of any project, Azure OpenAI is a costly solution."
"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"Azure OpenAI is a bit more expensive than other services."
"According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."
"While the product meets our business requirements well, I consider it relatively expensive, especially for individual users like myself."
"The cost structure depends on the volume of data processed and the computational resources required."
"Cost-wise, the product's price is a bit on the higher side."
"The tool costs around 20 dollars a month."
"We are using the free version."
"I rate TensorFlow's pricing a five out of ten."
"It is an open-source solution, so anyone can use it free of charge."
"The solution is free."
"I did not require a license for this solution. It a free open-source solution."
"I think for learners to deploy a project, you can actually use TensorFlow for free. It's just amazing to have an open-source platform like TensorFlow to deploy your own project. Here in Russia no one really cares about licenses, as it is totally open source and free. My clients in the United States were also pleased to learn when they enquired, that licensing is free."
"It is open-source software. You don't have to pay all the big bucks like Azure and Databricks."
"I am using the open-source version of TensorFlow and it is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
11%
Educational Organization
6%
Manufacturing Company
15%
Computer Software Company
12%
University
10%
Educational Organization
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 TensorFlow?
It empowers us to seamlessly create and deploy machine learning models, offering a versatile solution for implementing sophisticated environments and various types of AI solutions.
What needs improvement with TensorFlow?
The process of creating models could be more user-friendly.
 

Learn More

Video not available
 

Overview

 

Sample Customers

Information Not Available
Airbnb, NVIDIA, Twitter, Google, Dropbox, Intel, SAP, eBay, Uber, Coca-Cola, Qualcomm
Find out what your peers are saying about Azure OpenAI vs. TensorFlow and other solutions. Updated: October 2024.
815,854 professionals have used our research since 2012.