Compare Amazon SageMaker vs. TIBCO Data Science

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Most Helpful Review
Use TIBCO Data Science? Share your opinion.
Find out what your peers are saying about Amazon SageMaker vs. TIBCO Data Science and other solutions. Updated: September 2020.
441,478 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The few projects we have done have been promising.""They are doing a good job of evolving.""The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases.""Allows you to create API endpoints.""The deployment is very good, where you only need to press a few buttons."

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"The idea that you don't have to generate reports each day but they are sent automatically is great.""We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost.""The most valuable feature is the ease of setting up visualizations.""The most valuable feature is the performance."

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Cons
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.""I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox.""AI is a new area and AWS needs to have an internship training program available.""Lacking in some machine learning pipelines.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

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"Additional templates would help to get things moving more quickly in terms of getting the reports out.""In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues.""I would like the visualization for the map of countries to be more easily configurable.""The scripting for customization could be improved."

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Pricing and Cost Advice
"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation.""The support costs are 10% of the Amazon fees and it comes by default."

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Questions from the Community
Top Answer: Allows you to create API endpoints.
Top Answer: The pricing for the Notebook endpoints is a bit high, but generally reasonable.
Top Answer: The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like… more »
Top Answer: The most valuable feature is the performance.
Top Answer: This solution is less expensive than Tableau, which is quite pricey.
Top Answer: The scripting for customization could be improved.
Ranking
14th
Views
10,392
Comparisons
9,138
Reviews
4
Average Words per Review
510
Avg. Rating
7.5
16th
Views
731
Comparisons
567
Reviews
4
Average Words per Review
590
Avg. Rating
7.5
Popular Comparisons
Compared 29% of the time.
Compared 8% of the time.
Compared 9% of the time.
Also Known As
AWS SageMaker, SageMakerAlpine Data Chorus
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Amazon
TIBCO
Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

Offer
Learn more about Amazon SageMaker
Learn more about TIBCO Data Science
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, IntuitHavas Media, Tipping Point Community, eviCore
Top Industries
VISITORS READING REVIEWS
Computer Software Company33%
Media Company21%
Comms Service Provider9%
Insurance Company5%
No Data Available
Find out what your peers are saying about Amazon SageMaker vs. TIBCO Data Science and other solutions. Updated: September 2020.
441,478 professionals have used our research since 2012.
Amazon SageMaker is ranked 14th in Data Science Platforms with 5 reviews while TIBCO Data Science is ranked 16th in Data Science Platforms with 4 reviews. Amazon SageMaker is rated 7.6, while TIBCO Data Science is rated 7.6. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, the top reviewer of TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Domino Data Science Platform, Dataiku Data Science Studio and H2O.ai, whereas TIBCO Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, MathWorks Matlab, IBM SPSS Statistics and KNIME. See our Amazon SageMaker vs. TIBCO Data Science report.

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