Google Cloud AI Platform vs IBM Watson Studio comparison

Google and IBM are both solutions in the AI Development Platforms category. Google is ranked #7 with an average rating of 7.8, while IBM is ranked #9 with an average rating of 8.5. Google holds a 5.6% mindshare in AIDP, compared to IBM’s 1.9% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Google Cloud AI Platform

Read 9 Google Cloud AI Platform reviews

3,506 Views
2,724 Comparison Views

100% willing to recommend

IBM Watson Studio

Read 14 IBM Watson Studio reviews

1,470 Views
924 Comparison Views

100% willing to recommend

Google Cloud AI Platform

IBM Watson Studio

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Executive SummaryUpdated on Dec 4, 2024

IBM Watson Studio and Google Cloud AI Platform are leading products in the AI and data analytics domain. Google Cloud AI Platform appears to have an edge due to its robust feature set and streamlined deployment process.

Features: IBM Watson Studio offers advanced integration options, a robust suite of machine learning tools, and seamless data connectivity. Google Cloud AI Platform provides a comprehensive range of machine learning tools, pre-trained models, and the ability to create custom models.

Room for Improvement: IBM Watson Studio could enhance its user interface simplicity, provide better documentation, and lower its learning curve. Google Cloud AI Platform might improve by offering more competitive pricing, enhanced multi-cloud support, and simplifying customization processes.

Ease of Deployment and Customer Service: IBM Watson Studio offers flexibility in deployment and strong integration, while Google Cloud AI Platform excels with extensive documentation, streamlined deployment, and comprehensive support, ensuring a smooth experience.

Pricing and ROI: IBM Watson Studio is competitively priced, focusing on delivering integration efficiencies for a solid ROI, especially in complex AI projects. Google Cloud AI Platform, though sometimes costlier, offers substantial value with advanced features and scalability, leading to significant ROI for enterprises ready to invest.

To learn more, read our detailed Google Cloud AI Platform vs. IBM Watson Studio Report (Updated: January 2025).

Buyer's Guide

Google Cloud AI Platform vs. IBM Watson Studio

January 2025

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Review summaries and opinions

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

Categories and Ranking

Google Cloud AI Platform

Ranking in AI Development Platforms

7th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Watson Studio

Ranking in AI Development Platforms

9th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Science Platforms (11th)

Mindshare comparison

As of January 2025, in the AI Development Platforms category, the mindshare of Google Cloud AI Platform is 5.6%, down from 7.1% compared to the previous year. The mindshare of IBM Watson Studio is 1.9%, down from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

Featured Reviews

Vipul-Kumar

CTO at Intelli AI LLC

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.

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Abilio Duarte

Senior Solutions Architect at Self-employed

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.

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Quotes from Members

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

Pros

"The initial setup is very straightforward."

"I think the user interface is quite handy, and it is easy to use as compared to the other cloud platforms."

"The platform's Google Vision API is particularly valuable."

"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."

"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."

"The solution is able to read 90% of the documents correctly with a 10% error rate."

"Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture."

"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."

More Google Cloud AI Platform pros

"It has greatly improved the performance because it is standardized across the company."

"IBM Watson Studio consistently automates across channels."

"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."

"It is a stable, reliable product."

"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 the most complete tool for AI projects."

"It has a lot of data connectors, which is extremely helpful."

"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."

More IBM Watson Studio pros

Cons

"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."

"The model management on Google Cloud AI Platform could be better."

"It could be more clear, and sometimes there are errors that I don't quite understand."

"Customizations are very difficult, and they take time."

"The technical support from Google is not very fast. I think it is about a five out of ten even though they have courses online where I can learn a lot, if I really need support, I have to wait a very long time."

"Improvements in text extraction accuracy and pricing adjustments would be helpful."

More Google Cloud AI Platform cons

"The main challenge lies in visibility and ease of use."

"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."

"We would like to see it more web-based with more functionality."

"One area that could be improved is the backup and restoration of the database and the overall database configuration."

"I think maybe the support is an area where it lacks."

"The initial setup was complex."

"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."

More IBM Watson Studio cons

Pricing and Cost Advice

"The pricing is on the expensive side."

"For every thousand uses, it is about four and a half euros."

"The licenses are cheap."

"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."

"The price of the solution is competitive."

"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."

"IBM Watson Studio is a reasonably priced product"

"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

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

University

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...

See all answers

What is your experience regarding pricing and costs for Google Cloud AI Platform?

For the most part, the pricing is perfect sinceit grows with the use of my app. In some cases, they could be more specific about the pricing, especially for some AI features.

See all answers

What is your primary use case for Google Cloud AI Platform?

I use Google Cloud AI Platform due to Firebase and the many APIs that are available with it.

See all answers

What do you like most about IBM Watson Studio?

Stability-wise, it is a great tool.

See all answers

What is your experience regarding pricing and costs for IBM Watson Studio?

The pricing of Watson Studio is justified by the benefits and power it offers.

See all answers

What needs improvement with IBM Watson Studio?

One area that could be improved is the backup and restoration of the database and the overall database configuration. There were also challenges with programming the network extension in the last p...

See all answers

Comparisons

Azure OpenAI vs Google Cloud AI Platform

Compared 28% of the time

IBM Watson Machine Learning vs Google Cloud AI Platform

Compared 25% of the time

Microsoft Azure Machine Learning Studio vs Google Cloud AI Platform

Compared 14% of the time

Hugging Face vs Google Cloud AI Platform

Compared 14% of the time

Google Vertex AI vs Google Cloud AI Platform

Compared 9% of the time

More Google Cloud AI Platform Competitors

Databricks vs IBM Watson Studio

Compared 27% of the time

Google Vertex AI vs IBM Watson Studio

Compared 17% of the time

Azure OpenAI vs IBM Watson Studio

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 14% of the time

Amazon Comprehend vs IBM Watson Studio

Compared 4% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

AI Development Platforms

January 2025

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Buyer's Guide

IBM Watson Studio

January 2025

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Also Known As

No data available

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx

Learn More

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Google

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IBM

Overview

Google AI Platform is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech.

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

Sample Customers

Carousell

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Google Cloud AI Platform vs. IBM Watson Studio

January 2025

Free Report: Google Cloud AI Platform vs. IBM Watson Studio

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