Compare Dataiku Data Science Studio vs. TIBCO Spotfire Data Science

Dataiku Data Science Studio is ranked 13th in Data Science Platforms with 4 reviews while TIBCO Spotfire Data Science is ranked 17th in Data Science Platforms with 2 reviews. Dataiku Data Science Studio is rated 7.6, while TIBCO Spotfire Data Science is rated 7.6. The top reviewer of Dataiku Data Science Studio writes "User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow". On the other hand, the top reviewer of TIBCO Spotfire Data Science writes "A straightforward initial setup and good reporting but needs better documentation". Dataiku Data Science Studio is most compared with Alteryx, KNIME and Databricks, whereas TIBCO Spotfire Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio and Amazon SageMaker. See our Dataiku Data Science Studio 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 Dataiku Data Science Studio vs. TIBCO Spotfire Data Science and other solutions. Updated: January 2020.
396,296 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
I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.The most valuable feature is the set of visual data preparation tools.The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction.Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors.Cloud-based process run helps in not keeping the systems on while processes are running.

Read more »

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
I find that it is a little slow during use. It takes more time than I would expect for operations to complete.In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin.The ability to have charts right from the explorer would be an improvement.Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable.Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days).There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders.

Read more »

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 annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything.

Read more »

Information Not Available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
396,296 professionals have used our research since 2012.
Ranking
13th
Views
8,249
Comparisons
5,990
Reviews
4
Average Words per Review
493
Avg. Rating
7.5
17th
Views
527
Comparisons
398
Reviews
2
Average Words per Review
838
Avg. Rating
7.5
Top Comparisons
Compared 14% of the time.
Also Known As
Dataiku DSSAlpine Data Chorus
Learn
Dataiku
TIBCO
Overview

Dataiku DSS is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.

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 Dataiku Data Science Studio
Learn more about TIBCO Spotfire Data Science
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAutoHavas Media, Tipping Point Community, eviCore
Top Industries
VISITORS READING REVIEWS
Software R&D Company27%
Financial Services Firm15%
Comms Service Provider14%
Media Company8%
No Data Available
Find out what your peers are saying about Dataiku Data Science Studio vs. TIBCO Spotfire Data Science and other solutions. Updated: January 2020.
396,296 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.