What users are saying about

IBM Watson Studio

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158 Ratings
7 Ratings
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Score 7.5 out of 101

IBM Watson Studio

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158 Ratings
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Score 7.9 out of 101

Add comparison

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.
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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
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Feature Rating Comparison

Platform Connectivity

Amazon SageMaker
IBM Watson Studio
7.7
Connect to Multiple Data Sources
Amazon SageMaker
IBM Watson Studio
9.0
Extend Existing Data Sources
Amazon SageMaker
IBM Watson Studio
8.0
Automatic Data Format Detection
Amazon SageMaker
IBM Watson Studio
7.7
MDM Integration
Amazon SageMaker
IBM Watson Studio
6.3

Data Exploration

Amazon SageMaker
IBM Watson Studio
8.0
Visualization
Amazon SageMaker
IBM Watson Studio
7.8
Interactive Data Analysis
Amazon SageMaker
IBM Watson Studio
8.2

Data Preparation

Amazon SageMaker
IBM Watson Studio
8.2
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
8.0
Built-in Processors
Amazon SageMaker
IBM Watson Studio
8.3

Platform Data Modeling

Amazon SageMaker
IBM Watson Studio
8.9
Multiple Model Development Languages and Tools
Amazon SageMaker
IBM Watson Studio
9.0
Automated Machine Learning
Amazon SageMaker
IBM Watson Studio
8.8
Single platform for multiple model development
Amazon SageMaker
IBM Watson Studio
8.7
Self-Service Model Delivery
Amazon SageMaker
IBM Watson Studio
9.0

Model Deployment

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

Pros

  • 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.
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  • Collaborative Work
  • Workspace
  • Scalability
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Cons

  • SageMaker does not allow you to schedule training jobs.
  • SageMaker does not provide a mechanism for easily tracking metrics logged during training.
  • We often fit feature extraction and model pipelines. We can inject the model artifacts into AWS-provided containers, but we cannot inject the feature extractors. We could provide our own container to SageMaker instead, but this is tantamount to serving the model ourselves.
Gavin Hackeling profile photo
  • SPSS Integration
  • Modeler Canvas development
  • Open source compatibility
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Likelihood to Renew

No score
No answers yet
No answers on this topic
IBM Watson Studio8.2
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

No score
No answers yet
No answers on this topic
IBM Watson Studio9.2
Based on 2 answers
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Isaiah King profile photo

Reliability and Availability

No score
No answers yet
No answers on this topic
IBM Watson Studio8.2
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

No score
No answers yet
No answers on this topic
IBM Watson Studio8.2
Based on 1 answer
Never had slow response even on our very busy network
Davide Tognon profile photo

Support

No score
No answers yet
No answers on this topic
IBM Watson Studio8.2
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

No score
No answers yet
No answers on this topic
IBM Watson Studio8.2
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

No score
No answers yet
No answers on this topic
IBM Watson Studio8.2
Based on 1 answer
The Platform is very handy and suggests further steps according my previous interests
Davide Tognon profile photo

Implementation

No score
No answers yet
No answers on this topic
IBM Watson Studio7.3
Based on 1 answer
It surprised us with unpredictable case of use and brand new points of view
Davide Tognon profile photo

Alternatives Considered

We have not invested in another machine learning software at this time and so far this has proved very successful with our machine learning teams. As mentioned, I am training these individuals simply on the fundamentals of the software and using it/customizing it for their needs. It has been very easy to do this and has gotten great reviews across the organization so far.
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SPSS - Totally different approaches, SPSS UI is now a well-known name with a well-established user base who we consider aren´t going anywhere but Statistics.Modeler - A proven analytical solution with capabilities to deal with huge datasets, scalability offers you now the possibilities of models deployment, really flexible tool that you can add to the missing techniques via R or Python Integration.Anaconda - A great option less pricey than DSx but lacking the IBM Ecosystem.
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Scalability

No score
No answers yet
No answers on this topic
IBM Watson Studio8.2
Based on 1 answer
It helped us in getting from 0 to DSX without getting lost
Davide Tognon profile photo

Return on Investment

  • 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.
Gavin Hackeling profile photo
  • So far, a few of our customers see or have an application with the tool.
  • Most of our customers are still developing analytics skills, and this tool doesn't help them in their learning curve.
  • On the positive side, this is a step forward to provide new customers with a suite of tools that they understand.
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Pricing Details

Amazon SageMaker

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

Amazon SageMaker More Information

IBM Watson Studio

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

IBM Watson Studio More Information