TIBCO Data Science Reviews

Name: TIBCO Data Science
Brand: TIBCO
Rating: 4 (4 reviews)

Vendor: TIBCO

3.8 out of 5

4 reviews
100% willing to recommend

What is TIBCO Data Science?

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.

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TIBCO Data Science is the #25 ranked solution in top Data Science Platforms. PeerSpot users give TIBCO Data Science an average rating of 7.6 out of 10. TIBCO Data Science is most commonly compared to KNIME: TIBCO Data Science vs KNIME.

Buyer's Guide

Data Science Platforms

October 2024

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Helped 814,649 peers since 2012

Featured reviews

Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. 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. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

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reviewer1290609

Marketed Product Safety Services at IQVIA

The most valuable feature is the ease of setting up visualizations The interface should be more user-friendly, especially for filtering. With other applications, it is easier to see what you have filtered when you do the analysis. With Spotfire, it is difficult to see what you have filtered when…

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Samuel-Kwahene

Executive: Enterprise Integration Solutions at OneConnect Technologies

I would have to say the installation process could be improved. In Spotfire, for example, there are parts that you have to install in terms of getting the data from the database, then there's the Spotfire web aspect to it and the Spotfire desktop portion. It requires three different applications in order to achieve what you need. A single installation file would be a big improvement. For additional features, I would like more templates. The templates we get are more focused on specific fields but they don't include, for example, a template for the mining sector. Additional templates would help to get things moving more quickly in terms of getting the report out.

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TIBCO Data Science mindshare

As of November 2024, the mindshare of TIBCO Data Science in the Data Science Platforms category stands at 0.6%, up from 0.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms

Key learnings from peers

Valuable Features

"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."

Room for Improvement

"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."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Data Science Platforms Buyer's Guide for additional reliable information.