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Google Cloud AI Platform vs IBM Watson Studio comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Google Cloud AI Platform
Ranking in AI Development Platforms
7th
Average Rating
7.8
Number of Reviews
8
Ranking in other categories
No ranking in other categories
IBM Watson Studio
Ranking in AI Development Platforms
9th
Average Rating
8.2
Reviews Sentiment
8.0
Number of Reviews
13
Ranking in other categories
Data Science Platforms (12th)
 

Mindshare comparison

As of November 2024, in the AI Development Platforms category, the mindshare of Google Cloud AI Platform is 7.3%, down from 7.5% compared to the previous year. The mindshare of IBM Watson Studio is 2.5%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Vipul-Kumar - PeerSpot reviewer
An AI platform AI Platform to train your machine learning models at scale, to host your trained model in the cloud, and to use your model to make predictions about new data
I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite.
Abilio Duarte - PeerSpot reviewer
A highly robust and well-documented platform that simplifies the complex world of AI
The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.

Quotes from Members

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

Pros

"The platform's Google Vision API is particularly valuable."
"Since the model could be trained in just a couple of hours and deploying it took only a few minutes, the entire process took less than an hour."
"I think the user interface is quite handy, and it is easy to use as compared to the other cloud platforms."
"Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture."
"A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up with an operational solution really quick."
"The solution is able to read 90% of the documents correctly with a 10% error rate."
"On GCP, we are exposing our API services to our clients so that they send us their information. It can be single individual records or it can be a batch of their clients."
"The initial setup is very straightforward."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"It has a lot of data connectors, which is extremely helpful."
"Stability-wise, it is a great tool."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"IBM Watson Studio consistently automates across channels."
"The system's ability to take a look at data, segment it and then use that data very differently."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"Watson Studio is very stable."
 

Cons

"The initial setup was straightforward for me but could be difficult for others."
"It could be more clear, and sometimes there are errors that I don't quite understand."
"Improvements in text extraction accuracy and pricing adjustments would be helpful."
"The solution can be improved by simplifying the process to make your own models."
"At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning."
"One thing that I found is that Azure ML does not directly provide you with features on Google Cloud AI Platform, whereas Vertex provides some features of the platform."
"Customizations are very difficult, and they take time."
"I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"The decision making in their decision making feature is less good than other options."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"I want IBM's technical support team to provide more specific answers to queries."
"I think maybe the support is an area where it lacks."
"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
"The initial setup was complex."
"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."
 

Pricing and Cost Advice

"The pricing is on the expensive side."
"The price of the solution is competitive."
"The licenses are cheap."
"For every thousand uses, it is about four and a half euros."
"The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."
"IBM Watson Studio is a reasonably priced product"
"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
"Watson Studio's pricing is reasonable for what you get."
"IBM Watson Studio is an expensive solution."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
11%
Manufacturing Company
10%
University
9%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google Cloud AI Platform?
A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up...
What is your primary use case for Google Cloud AI Platform?
We use Google Cloud AI Platform to extract text from images, such as forms.
What needs improvement with IBM Watson Studio?
From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users...
 

Also Known As

No data available
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
 

Learn More

Video not available
Video not available
 

Overview

 

Sample Customers

Carousell
GroupM, Accenture, Fifth Third Bank
Find out what your peers are saying about Google Cloud AI Platform vs. IBM Watson Studio and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.