Amazon SageMaker vs IBM Watson OpenScale comparison

Amazon Web Services (AWS) and IBM are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #5 with an average rating of 8.0, while IBM is ranked #20. Amazon Web Services (AWS) holds a 5.5% mindshare in AIDP, compared to IBM’s 0.4% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution.

Amazon SageMaker

Read 37 Amazon SageMaker reviews

3,898 Views
3,122 Comparison Views

91% willing to recommend

IBM Watson OpenScale

253 Views
199 Comparison Views

Amazon SageMaker

IBM Watson OpenScale

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Executive Summary

We performed a comparison between Amazon SageMaker and IBM Watson OpenScale based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms.

To learn more, read our detailed AI Development Platforms Report (Updated: May 2025).

Buyer's Guide

AI Development Platforms

May 2025

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Helped 852,649 peers since 2012

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

Amazon SageMaker

Ranking in AI Development Platforms

5th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Science Platforms (3rd)

IBM Watson OpenScale

Ranking in AI Development Platforms

20th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 5.5%, down from 8.5% compared to the previous year. The mindshare of IBM Watson OpenScale is 0.4%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

Featured Reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

11%

Educational Organization

11%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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 high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...

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Comparisons

Databricks vs Amazon SageMaker

Compared 15% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

Microsoft Azure Machine Learning Studio vs IBM Watson OpenScale

Compared 35% of the time

Google Vertex AI vs IBM Watson OpenScale

Compared 28% of the time

Google Cloud AI Platform vs IBM Watson OpenScale

Compared 18% of the time

More IBM Watson OpenScale Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

May 2025

Download Amazon SageMaker product report

Buyer's Guide

AI Development Platforms

May 2025

Download IBM Watson OpenScale product report

Also Known As

AWS SageMaker, SageMaker

No data available

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.

Amazon Web Services (AWS)

IBM Watson OpenScale makes it easier for data scientists, application developers, IT and AI operations teams, and business-process owners to collaborate in building, running, and managing production AI. This empowers businesses to confidently integrate machine learning capabilities into their applications and scale seamlessly as the demand for AI grows.

IBM

Sample Customers

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

KPMG

Buyer's Guide

AI Development Platforms

May 2025

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We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.