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
8 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 9.5 out of 100
Based on 8 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
SAS Enterprise Miner
SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.
Economist
Econometric StudiosFinancial Services, 11-50 employees
Feature Rating Comparison
Platform Connectivity
Amazon SageMaker
—
SAS Enterprise Miner
8.8
Connect to Multiple Data Sources
Amazon SageMaker
—
SAS Enterprise Miner
8.2
Extend Existing Data Sources
Amazon SageMaker
—
SAS Enterprise Miner
8.9
Automatic Data Format Detection
Amazon SageMaker
—
SAS Enterprise Miner
9.3
MDM Integration
Amazon SageMaker
—
SAS Enterprise Miner
8.9
Data Exploration
Amazon SageMaker
—
SAS Enterprise Miner
7.9
Visualization
Amazon SageMaker
—
SAS Enterprise Miner
6.8
Interactive Data Analysis
Amazon SageMaker
—
SAS Enterprise Miner
9.0
Data Preparation
Amazon SageMaker
—
SAS Enterprise Miner
8.0
Interactive Data Cleaning and Enrichment
Amazon SageMaker
—
SAS Enterprise Miner
7.8
Data Transformations
Amazon SageMaker
—
SAS Enterprise Miner
8.2
Data Encryption
Amazon SageMaker
—
SAS Enterprise Miner
8.1
Built-in Processors
Amazon SageMaker
—
SAS Enterprise Miner
8.1
Platform Data Modeling
Amazon SageMaker
—
SAS Enterprise Miner
8.6
Multiple Model Development Languages and Tools
Amazon SageMaker
—
SAS Enterprise Miner
7.4
Automated Machine Learning
Amazon SageMaker
—
SAS Enterprise Miner
9.7
Single platform for multiple model development
Amazon SageMaker
—
SAS Enterprise Miner
8.5
Self-Service Model Delivery
Amazon SageMaker
—
SAS Enterprise Miner
9.1
Model Deployment
Amazon SageMaker
—
SAS Enterprise Miner
7.7
Flexible Model Publishing Options
Amazon SageMaker
—
SAS Enterprise Miner
7.1
Security, Governance, and Cost Controls
Amazon SageMaker
—
SAS Enterprise Miner
8.3
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 employeesSAS Enterprise Miner
- Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
- The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
- The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
- Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.

Verified User
Consultant in Information Technology
Banking Company, 10,001+ employeesCons
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 employeesSAS Enterprise Miner
- With large data sets, SAS Enterprise Miner sometimes takes a long time to run. Sometimes you have to just leave your computer running while Enterprise Miner does its thing.
- If you want complete control over the modeling framework, you have to take what Enterprise Miner does and customize it. SAS seems to be working hard on making things easier to customize, but it's not completely there yet.
- The graphic capabilities of SAS Enterprise Miner leave a lot to be desired, especially in the era of self-service business intelligence software.
Owner, previous CEO
Econometric StudiosFinancial Services, 10,001+ employees
Support Rating
Amazon SageMaker
No score
No answers yet
No answers on this topic
SAS Enterprise Miner
SAS Enterprise Miner 10.0
Based on 2 answers
I have contacted SAS twice in the past year and they have been super responsive both times. They solved my problem. I am also registered for an in-person class next month and they called today to tell me that it will be an online-only session. They apologized for the change and registered me for the online version. Super helpful!
Associate Director
Stan Richards School of Advertising & Public RelationsEducation Management, 5001-10,000 employees
Alternatives 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 employeesSAS Enterprise Miner
SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
Solution Specialist (Data Analytics)
Revival Europe Ltd.Computer Software, 51-200 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
SAS Enterprise Miner
- SAS Enterprise Miner is a positive ROI in the sense that it saves a ton of time coding.
- SAS Enterprise Miner is a negative ROI in that it's expensive, and perhaps makes analysts brainless.
Economist
Econometric StudiosFinancial Services, 11-50 employees
Pricing Details
Amazon SageMaker
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
SAS Enterprise Miner
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No