What users are saying about
21 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.1 out of 100
Based on 21 reviews and ratings
122 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8 out of 100
Based on 122 reviews and ratings
Likelihood to Recommend
Amazon SageMaker
Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
Owner, previous CEO
Econometric StudiosFinancial Services, 11-50 employees
Oracle Machine Learning
OAC doesn't require software to be installed since it is browser based. This allows for easier deployment since a local client software is not required to be installed for each user. OAC can be used for the casual light user who mainly consumes data to the power user who can created sophisticated dashboard with advanced analytics. OAC is not meant to replace Essbase reporting.
Director of IT Applications
Quanta Services, Inc.Construction, 10,001+ employees
Pros
Amazon SageMaker
- Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
- Customization and easy to alter and change.
- If you already are an Amazon user, you do not need to transition over to another software.

Verified User
Employee in Human Resources
Real Estate Company, 1001-5000 employeesOracle Machine Learning
- Analyzing heaps of data dumped into the machine learning tool.
- Giving the researcher an insight on which direction to proceed in order to get the desired results.
- Can help perform a functional analysis before doing a deep dive.
Information Technology Project Manager
Binghamton UniversityInformation Technology and Services, 5001-10,000 employees
Cons
Amazon SageMaker
- It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
- Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.

Verified User
Employee in Research & Development
Computer Software Company, 501-1000 employeesOracle Machine Learning
- As mentioned by others the formatting of reports constantly has issues
- Once your initial contract terms are up be prepared for a significant increase
- Pricing needs to be inline with what other competitors are offering

Verified User
Executive in Information Technology
Health, Wellness and Fitness Company, 501-1000 employeesAlternatives Considered
Amazon SageMaker
Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.

Verified User
Professional in Legal
Legal Services Company, 51-200 employeesOracle Machine Learning
Sorry this product was not selected by me, but was a legacy install that was upgraded. I see the value in the product, however, I was not involved in the selection process.
VP of Business Development
FinPro SolutionsComputer Software, 11-50 employees
Return on Investment
Amazon SageMaker
- We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
- We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
- For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
Data Scientist
Wonder (AskWonder.com)Research, 11-50 employees
Oracle Machine Learning
- Our ROI has been great since we have been able to get a birdseye view of our business operations.
- Shows your areas within your company that needs attention and improvements.
- Oracle has had a positive impact on all of our business objectives since it provides a clear view of your business operations.

Verified User
Executive in Information Technology
Information Technology and Services Company, 1001-5000 employeesPricing Details
Amazon SageMaker
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Oracle Machine Learning
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No