Amazon SageMaker vs Google Cloud AI Platform comparison

Amazon Web Services (AWS) and Google are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #4 with an average rating of 7.6, while Google is ranked #7 with an average rating of 7.8. Amazon Web Services (AWS) holds a 8.1% mindshare in AIDP, compared to Google’s 7.3% mindshare. Additionally, 89% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon SageMaker

Read 29 Amazon SageMaker reviews

4,257 Views
3,388 Comparison Views

89% willing to recommend

Google Cloud AI Platform

Read 8 Google Cloud AI Platform reviews

3,699 Views
2,842 Comparison Views

100% willing to recommend

Amazon SageMaker

Google Cloud AI Platform

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Executive Summary

We performed a comparison between Amazon SageMaker and Google Cloud AI Platform based on real PeerSpot user reviews.

Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon SageMaker vs. Google Cloud AI Platform Report (Updated: October 2024).

Buyer's Guide

Amazon SageMaker vs. Google Cloud AI Platform

October 2024

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Categories and Ranking

Amazon SageMaker

Ranking in AI Development Platforms

4th

Average Rating

7.8

Reviews Sentiment

9.1

Number of Reviews

Ranking in other categories

Data Science Platforms (5th)

Google Cloud AI Platform

Ranking in AI Development Platforms

7th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 8.1%, down from 8.8% compared to the previous year. The mindshare of Google Cloud AI Platform is 7.3%, down from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

Featured Reviews

Natu Lauchande

Tech Lead - Sanlam Fintech Cluster - Data,ML,AI Eng. at Sanlam

Easy to use and manage, but the documentation does not have a lot of information

SageMaker Studio sounds very interesting. Feature Store and data pipeline features are very interesting. The product is a one-stop shop. It allows people without much engineering knowledge to try out and deploy models in environments similar to the production environments. The tool makes our ML model development a bit more efficient because everything is in one environment. It is easy to manage compared to when things were in different components of AWS. Amazon SageMaker is in AWS, so I need not pay two bills. It is one less system to manage, so it is easier.

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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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Quotes from Members

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

Pros

"The tool makes our ML model development a bit more efficient because everything is in one environment."

"The most valuable feature of Amazon SageMaker is SageMaker Studio."

"We were able to use the product to automate processes."

"Amazon SageMaker is highly valuable for managing ML workloads. It connects to AWS cloud resources, making it easy to deploy algorithms and collaborate using tools like GitLab. It offers a wide range of Python libraries and other necessary tools for modelling and algorithms."

"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."

"The product aggregates everything we need to build and deploy machine learning models in one place."

"The intuitive interface and streamlined user experience make it easy to navigate and set up various tools like Visual Studio Code or Jupyter Notebook."

More Amazon SageMaker pros

"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."

"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."

"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."

"The initial setup is very straightforward."

"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."

Cons

"The solution requires a lot of data to train the model."

"The solution needs to be cheaper since it now charges per document for extraction."

"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."

"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."

"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."

"I had to create custom templates for labeling multi-data sets, such as text and images, which was time-consuming."

"The user interface (UI) and user experience (UX) of SageMaker and AWS, in general, need improvement as they are not intuitive and require substantial time to learn how to use specific services."

More Amazon SageMaker cons

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

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

"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."

"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."

"The solution can be improved by simplifying the process to make your own models."

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

"The initial setup was straightforward for me but could be difficult for others."

"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."

Pricing and Cost Advice

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

"There is no license required for the solution since you can use it on demand."

"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."

"SageMaker is worth the money for our use case."

"The tool's pricing is reasonable."

"The solution is relatively cheaper."

"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."

"Databricks solution is less costly than Amazon SageMaker."

More Amazon SageMaker pricing and cost advice

"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 pricing is on the expensive side."

"The licenses are cheap."

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

"The price of the solution is competitive."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Educational Organization

14%

Computer Software Company

11%

Manufacturing Company

Computer Software Company

15%

Financial Services Firm

11%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

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What is your experience regarding pricing and costs for Amazon SageMaker?

The pricing is based on usage, and I find it reasonable for what we use it for.

See all answers

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?

The pricing is on the expensive side.

See all answers

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.

See all answers

Comparisons

Databricks vs Amazon SageMaker

Compared 27% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Google Vertex AI vs Amazon SageMaker

Compared 11% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

Azure OpenAI vs Google Cloud AI Platform

Compared 28% of the time

IBM Watson Machine Learning vs Google Cloud AI Platform

Compared 24% 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 13% of the time

OpenVINO vs Google Cloud AI Platform

Compared 2% of the time

More Google Cloud AI Platform Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

November 2024

Download Amazon SageMaker product report

Buyer's Guide

AI Development Platforms

November 2024

Download Google Cloud AI Platform product report

Also Known As

AWS SageMaker, SageMaker

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Learn More

Amazon Web Services (AWS)

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Google

Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

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.

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

Carousell

Buyer's Guide

Amazon SageMaker vs. Google Cloud AI Platform

October 2024

Free Report: Amazon SageMaker vs. Google Cloud AI Platform

Find out what your peers are saying about Amazon SageMaker vs. Google Cloud AI Platform and other solutions. Updated: October 2024.

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