Domino Data Science Platform Competitors and Alternatives

Read reviews of Domino Data Science Platform competitors and alternatives
Real User
Software Engineer
Mar 19 2018

What is most valuable?

MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the... more»

How has it helped my organization?

Not widely adopted at my old workplace, I only used this to create quick proofs of concept to try to convince management of the viability of a project.

What needs improvement?

Enable creating ensemble models easier, adding more machine learning algorithms.
Real User
Product owner at ING
Mar 21 2018

What is most valuable?

We are looking for ways to automate even more. So, we are trying to avoid any manual effort currently necessary. With the whole machine learning part currently at the top of the market, we are trying to see how we can improve in the... more»

How has it helped my organization?

The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people. This is valuable for us. Also, how it integrates with the rest of the stacks,... more»

What needs improvement?

We would like to see it more web-based with more functionality. We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers. In this sense, we also are looking forward to... more»
Real User
Senior Business Technology Analyst at a consultancy with 5,001-10,000 employees
Apr 05 2018

What do you think of Dataiku Data Science Studio?

Primary Use Case ETL development. • Improvements to 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 much more automated than ever, with fewer errors. • Valuable Features Process scheduler (called Scenario). Cloud-based process run, which helps in not keeping the systems on while processes are running. • Room for Improvement Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable. • Use of Solution One to three years. • Stability Issues There were stability issues. SQL operations, such as partitioning, had bugs and showed wrong results. Due to server downtime, scheduled processes...

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