Compare Amazon SageMaker vs. TIBCO Spotfire Data Science

Amazon SageMaker is ranked 14th in Data Science Platforms with 4 reviews while TIBCO Spotfire Data Science is ranked 16th in Data Science Platforms with 4 reviews. Amazon SageMaker is rated 7.4, while TIBCO Spotfire 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 Spotfire 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 and Domino Data Science Platform, whereas TIBCO Spotfire Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio and Amazon SageMaker. See our Amazon SageMaker vs. TIBCO Spotfire Data Science report.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Use TIBCO Spotfire Data Science? Share your opinion.
Find out what your peers are saying about Amazon SageMaker vs. TIBCO Spotfire Data Science and other solutions. Updated: March 2020.
408,459 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 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.The deployment is very good, where you only need to press a few buttons.They are doing a good job of evolving.The few projects we have done have been promising.

Read more »

The most valuable feature is the performance.The most valuable feature is the ease of setting up visualizations.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 idea that you don't have to generate reports each day but they are sent automatically is great.

Read more »

Cons
AI is a new area and AWS needs to have an internship training program available.Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.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.I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.

Read more »

The scripting for customization could be improved.I would like the visualization for the map of countries to be more easily configurable.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.Additional templates would help to get things moving more quickly in terms of getting the reports out.

Read more »

Pricing and Cost Advice
The support costs are 10% of the Amazon fees and it comes by default.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.

Read more »

Information Not Available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
408,459 professionals have used our research since 2012.
Ranking
14th
Views
7,233
Comparisons
6,548
Reviews
3
Average Words per Review
560
Avg. Rating
7.3
16th
Views
583
Comparisons
443
Reviews
4
Average Words per Review
590
Avg. Rating
7.5
Top Comparisons
Compared 31% of the time.
Also Known As
AWS SageMaker, SageMakerAlpine Data Chorus
Learn
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 Spotfire 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
Software R&D Company32%
Media Company18%
Comms Service Provider11%
K 12 Educational Company Or School4%
No Data Available
Find out what your peers are saying about Amazon SageMaker vs. TIBCO Spotfire Data Science and other solutions. Updated: March 2020.
408,459 professionals have used our research since 2012.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.