Dataiku Data Science Studio Archived Reviews (More than two years old)

Filter by:Reset all filters
Filter Unavailable
Company Size
Filter Unavailable
Job Level
Filter Unavailable
Filter Unavailable
Filter Unavailable
Order by:
  • Date
  • Highest Rating
  • Lowest Rating
  • Review Length
Real User
Senior Business Technology Analyst at a consultancy with 5,001-10,000 employees
Apr 05 2018

What is most valuable?

* Process scheduler (called Scenario). * Cloud-based process run, which helps in not keeping the systems on while processes are running.

How has it helped my organization?

Compared to Informatica, this tool is extremely easy with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are… more»

What needs improvement?

Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable.

What's my experience with pricing, setup cost, and licensing?

Since this was a client-advised tool, no information of costs is available to us.

Which solution did I use previously and why did I switch?

I have previously worked with Alteryx. I switched for these reasons: * Big Data tools like Python and Hive are already supported * Cloud-based processing * Better value… more»

What other advice do I have?

Easy-to-use tool, but slightly unstable in terms of a few modules. Proceed with some amount of caution and knowledge.

Which other solutions did I evaluate?

Unfortunately, no.

What is Dataiku Data Science Studio?

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.

Also known as
Dataiku DSS
Dataiku Data Science Studio customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

Download our free Data Science Platforms Report and find out what your peers are saying about Dataiku, Alteryx, Knime, and more!