Google Cloud AI Platform Reviews

Name: Google Cloud AI Platform
Brand: Google
Rating: 3.9 (9 reviews)

3.9 out of 5

9 reviews
100% willing to recommend

What is Google Cloud AI Platform?

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.

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Google Cloud AI Platform is the #7 ranked solution in top AI Development Platforms. PeerSpot users give Google Cloud AI Platform an average rating of 7.8 out of 10. Based on the analysis of the 9 most recent Google Cloud AI Platform reviews, the overall sentiment is positive, with a sentiment score of 7.1. Google Cloud AI Platform is most commonly compared to Microsoft Azure Machine Learning Studio: Google Cloud AI Platform vs Microsoft Azure Machine Learning Studio. Google Cloud AI Platform is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 15% of all views.

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December 2024

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Featured reviews

Vipul-Kumar

CTO at Intelli AI LLC

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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Marta Frąckowiak

Student at Gdańsk University of Technology

I used Google Cloud AI Platform for a project at AltaML, where I had to predict client satisfaction levels for a particular company. At that time, I didn't have experience with APIs or anything like that, so my experience with the platform was limited. I think Azure has more options for me since…

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HaiPham

Managing Director at sea-solutión

We use Google Cloud AI Platform to extract text from images, such as forms. The platform's Google Vision API is particularly valuable. It helps with text extraction from images. Improvements in text extraction accuracy and pricing adjustments would be helpful. The solution is stable. We have…

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Google Cloud AI Platform mindshare

As of January 2025, the mindshare of Google Cloud AI Platform in the AI Development Platforms category stands at 5.6%, down from 7.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

AI Development Platforms

Key learnings from peers

Last updated Dec 24, 2024

Valuable Features

Google Cloud AI Platform offers a vast array of services like load balancing and AI architecture. Users value features such as handwritten text recognition, video object classification, and the Google Vision API for text extraction. Firebase and BigQuery are highlighted, with Firebase offering databases. The platform is appreciated for its affordability compared to Salesforce. Its user-friendly interface and algorithm options are noted, providing quick operation solutions with reinforcement learning and separate APIs for updating data.

"I have seen measurable benefits from Google Cloud AI Platform."
"The feedback left about these tools was really helpful and informative for us"
"The platform's Google Vision API is particularly valuable."

Room for Improvement

Users suggest improvements such as simplifying model creation and enhancing customization options. Better integration for production and development environments is needed. There is a call for clearer communication on pricing and feature descriptions. Improving performance, object recognition, and text extraction accuracy is desired. Offering more AI algorithms could enhance its capabilities. Users also highlight the lack of direct generative AI features compared to competitors. Users seek a more user-friendly interface, similar to Office 365.

"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."
"The model management on Google Cloud AI Platform could be better."
"Improvements in text extraction accuracy and pricing adjustments would be helpful."

Pricing

Google Cloud AI Platform pricing is competitive and scalable, based on usage and features. The platform charges approximately four and a half euros per thousand uses, with 21,000 uses costing around one hundred euros. A three-month starting program at 300 USD enables significant project development. Licensing costs vary according to client needs and required features, generally being affordable. Users rate pricing highly, noting some AI feature pricing could be clearer.

"The pricing is on the expensive side."
"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."

Popular Use Cases

Government clients deploy Google Cloud AI Platform for cloud applications and databases, while teams work with PIA data for validating emails and phone numbers. Companies use it for building applications, extracting text from images, and reading handwritten lists into Excel. IT firms and tech companies leverage it for developing skills and creating pipelines using Vertex. It's also employed for predicting client satisfaction and utilizing Firebase and APIs.

Service and Support

Google Cloud AI Platform's support is responsive, typically answering queries within 90 minutes, but some find it slower compared to Salesforce, rating it five out of ten. While the technical team effectively addresses issues, there is room for growth. Although users appreciate the support, they sometimes experience long wait times despite the availability of online courses.

Deployment

Users generally find Google Cloud AI Platform's initial setup straightforward and quick. Some encountered complexity with API configurations or required additional time for understanding processes. Deploying models typically takes a short duration, though endpoint creation may be lengthier in certain cases. Familiarity improves ease and speed of setup. Specific teams may handle related tasks like data cleansing and deployment separately, streamlining the procedure even further. Payment processes for APIs may pose challenges for some.

Scalability

Organizations find Google Cloud AI Platform highly scalable, likening it to Microsoft and Amazon's scalability. Ratings frequently identify it as an eight out of ten. While active users are sometimes limited, this reflects the early stages of adoption within companies. Some are still assessing its potential benefits before full integration. Despite individual hesitations, many users express confidence in its scalability for deployment, with less than 100 users often managing usage effectively.

Stability

Google Cloud AI Platform is described as highly stable by multiple users, with others agreeing it performs consistently. Users rate it between seven and nine out of ten, attributing stability to appropriate license utilization. Several users have no complaints regarding its performance, while some express positive feedback without extensive personal experience. Many emphasize its reliability, indicating satisfaction with its stability rating.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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