What users are saying about
12 Ratings
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Score 7.7 out of 101
160 Ratings
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Score 8.1 out of 101

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.
Thomas Young profile photo

IBM Watson Studio

Well suited for:1. Offering ancillary upgrades to airline passengers
2. Predicting flight delays based on historical patterns coupled with live feeds like weather
No photo available

Feature Rating Comparison

Platform Connectivity

Amazon SageMaker
IBM Watson Studio
7.4
Connect to Multiple Data Sources
Amazon SageMaker
IBM Watson Studio
8.5
Extend Existing Data Sources
Amazon SageMaker
IBM Watson Studio
8.0
Automatic Data Format Detection
Amazon SageMaker
IBM Watson Studio
7.0
MDM Integration
Amazon SageMaker
IBM Watson Studio
6.2

Data Exploration

Amazon SageMaker
IBM Watson Studio
8.0
Visualization
Amazon SageMaker
IBM Watson Studio
8.0
Interactive Data Analysis
Amazon SageMaker
IBM Watson Studio
8.0

Data Preparation

Amazon SageMaker
IBM Watson Studio
8.3
Interactive Data Cleaning and Enrichment
Amazon SageMaker
IBM Watson Studio
8.3
Data Transformations
Amazon SageMaker
IBM Watson Studio
8.0
Data Encryption
Amazon SageMaker
IBM Watson Studio
8.4
Built-in Processors
Amazon SageMaker
IBM Watson Studio
8.7

Platform Data Modeling

Amazon SageMaker
IBM Watson Studio
9.1
Multiple Model Development Languages and Tools
Amazon SageMaker
IBM Watson Studio
9.4
Automated Machine Learning
Amazon SageMaker
IBM Watson Studio
9.0
Single platform for multiple model development
Amazon SageMaker
IBM Watson Studio
8.7
Self-Service Model Delivery
Amazon SageMaker
IBM Watson Studio
9.2

Model Deployment

Amazon SageMaker
IBM Watson Studio
8.4
Flexible Model Publishing Options
Amazon SageMaker
IBM Watson Studio
8.3
Security, Governance, and Cost Controls
Amazon SageMaker
IBM Watson Studio
8.5

Pros

Amazon SageMaker

  • Amazon SageMaker is great for visually seeing the development of machine learning models. The process is set up in a logical step-by-step process.
  • Amazon SageMaker makes training data models about as easy as it gets. It's straight-forward to construct training and test samples.
  • Amazon SageMaker makes deploying machine learning models much easier than other open-source tools.
Thomas Young profile photo

IBM Watson Studio

  • Feature rich. IBM DSx provides a plethora of tools to leverage the use of data science in your organization and suit your specific needs.
  • IBM DSx supports a huge variety of sources of data. From your traditional SQL database to every major data warehouse, IBM DSx does a great job at connecting to or pulling from your data source.
  • Its greatest strength is the fact that is a cloud-based service. There's no need to waste time on configuring and maintaining an environment to start analyzing data, which may not be an easy task.
Pedro Henrique de Almeida profile photo

Cons

Amazon SageMaker

  • Amazon SageMaker is a great tool for a data scientist, although surprisingly, comparing different machine learning models with SageMaker is not as easy as one would think. I think Amazon needs to team up with a data scientist who does ensemble modeling.
  • Because SageMaker is targeted for machine learning models, other models a data scientist might use require more effort to get them incorporated. My guess is Amazon is moving to make SageMaker a more complete tool.
  • SageMaker can take a long time to run on larger data sets. That's the case with every big data science tool I've used, but SageMaker doesn't seem to be as quick as other tools.
Thomas Young profile photo

IBM Watson Studio

  • An actual IDE for python would be very helpful.
  • Some python packages were not up-to-date and it was not possible to install the current version.
  • It should be somehow possible to monitor the used resources and system load (CPU/RAM).
No photo available

Likelihood to Renew

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Davide Tognon profile photo

Usability

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 9.4
Based on 2 answers
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Isaiah King profile photo

Reliability and Availability

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
Davide Tognon profile photo

Performance

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
Never had slow response even on our very busy network
Davide Tognon profile photo

Support

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
Davide Tognon profile photo

In-Person Training

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
The trainers on the job are very smart with solutions and very able in teaching
Davide Tognon profile photo

Online Training

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
The Platform is very handy and suggests further steps according my previous interests
Davide Tognon profile photo

Implementation

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 7.3
Based on 1 answer
It surprised us with unpredictable case of use and brand new points of view
Davide Tognon profile photo

Alternatives Considered

Amazon SageMaker

Amazon SageMaker is the best option for machine learning if you are already using the Amazon data science ecosystem. The software integrates nicely with MapReduce and most of the other Amazon tools. Additionally, MapReduce does a fairly good job of making the development of machine learning models a user-friendly experience. Sometimes that is no easy task. With this said, it is clear when using MapReduce that the Amazon developers do not have as long of a history in advanced analytics, something that competing tools, such as IBM Watson, has a complete grasp on. Other tools are similar in speed and functionality.
Thomas Young profile photo

IBM Watson Studio

We did not evaluate comparable platforms. The customer suggested using DSx.
No photo available

Scalability

Amazon SageMaker

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
It helped us in getting from 0 to DSX without getting lost
Davide Tognon profile photo

Return on Investment

Amazon SageMaker

  • Using SageMaker, we can truly implement 'fail early, learn fast,' using an on-demand server for training.
  • It also saves your money from investing in a physical server for very rare use.
  • However, the pricing is high, but it will cost you only for what you use.
No photo available

IBM Watson Studio

  • Fewer maintenance costs.
  • The system can be scaled up if necessary.
  • Platform availability is very good.
No photo available

Pricing Details

Amazon SageMaker

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

IBM Watson Studio

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

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