21 Ratings
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Score 8.1 out of 100
60 Ratings
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Score 7.8 out of 100

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 | TrustRadius Reviewer

IBM Watson Analytics (discontinued)

Despite its shortcomings, IBM Watson Analytics does its job well. It's paired for any size organization, big or small – but realistically, if you're going to be analyzing user-data on a broad scale, it probably makes sense to use this program if you're working with a big company. Otherwise Facebook Analytics could probably do the work for you, for a cheaper price. Our social media manager has been using it to track data for a client of ours, and they have been enjoying it so far. It's a good system to determine user traffic.
Anonymous | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

IBM Watson Analytics (discontinued)

  • IBM Bluemix provides a wealth of powerful APIs. The ones I tried were easy to use and required minimal training to get up to speed.
  • I'd rate the documentation 9/10 as it was easy to navigate, had good examples and explained most of the possible inputs/outputs.
Anonymous | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

IBM Watson Analytics (discontinued)

  • Documentation is really hard to search through and follow along with. Needs a lot more examples and guidance.
  • Pricing isn't clear a lot of the time. As a developer trying new stuff, I've been hit with charges and been unsure where the usage came from. Would be good for this to be easier to follow up. Had asked support staff and got no reply.
  • The interface can be overwhleming.
Patrick Catanzariti | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

IBM Watson Analytics (discontinued)

Most commonly, if you're comparing it against other brands – my favorite being Google Analytics – this essentially does the same thing. It really just depends on what platform you're most comfortable working with. Google and IBM both have great software, and ease of use (assuming you know what you're doing when you get started). Although Google doesn't go as in-depth with their data analysis as IBM
Anonymous | TrustRadius Reviewer

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.
Gavin Hackeling | TrustRadius Reviewer

IBM Watson Analytics (discontinued)

  • See previous notes. We decided, for good reason, not to pursue any real production applications with the Bluemix products because we, our management, and our customer and their management realized it would not work in a real-world, down and dirty production environment where company reputations, financial performance, and customer satisfaction were at stake!
Terry Higbee | TrustRadius Reviewer

Pricing Details

Amazon SageMaker

General

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

IBM Watson Analytics (discontinued)

General

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

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