Dataiku vs Domino Data Science Platform comparison

Dataiku

Read 7 Dataiku reviews

8,856 Views
6,927 Comparison Views

100% willing to recommend

Domino Data Science Platform

Read 1 Domino Data Science Platform review

2,553 Views
2,232 Comparison Views

100% willing to recommend

Dataiku

Domino Data Science Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Dataiku and Domino Data Science Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).

Buyer's Guide

Data Science Platforms

May 2024

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Helped 787,817 peers since 2012

Categories and Ranking

Dataiku

Ranking in Data Science Platforms

7th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Domino Data Science Platform

Ranking in Data Science Platforms

20th

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2024, in the Data Science Platforms category, the mindshare of Dataiku is 9.9%, up from 6.7% compared to the previous year. The mindshare of Domino Data Science Platform is 2.6%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Unique Categories:

No other categories found

Featured Reviews

RangeshKunnavakkam

Consultant at Netsoft

May 17, 2024

Gives different aspects of modeling approaches and good for multiple teams' collaboration

I used DataRobot. Dataiku has a different kind of structure to it. It's not financially heavy like DataRobot, which caters more to financial companies, like banks. Dataiku doesn't have that yet. I think they are also working on that area. But yeah, there are some key differences between the two products. DataRobot has an additional feature with financial firms that it creates all these financial metrics when you run a time series analysis. Those things I have not seen in Dataiku. If any financial company is choosing between DataRobot and Dataiku, they will definitely go for DataRobot because it creates all these financial metrics. It creates deltas, time series, time difference fields, and things like that. So, that is an added feature that DataRobot has.

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Syed-Hussain

Senior Consultant - IT Business Applications at ADM

Nov 27, 2019

Good scalability and stability but the predictive analysis feature needs improvement

We primarily use the solution for customer retention, but there are a lot of use cases for this particular product The analysis capabilities are the solution's most valuable feature. The predictive analysis feature needs improvement. I've been using the solution for six months. I'd rate the…

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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 is the set of visual data preparation tools."

"The solution is quite stable."

"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."

"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."

"Data Science Studio's data science model is very useful."

"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."

"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."

"The scalability of the solution is good; I'd rate it four out of five."

Cons

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

"The ability to have charts right from the explorer would be an improvement."

"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."

"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."

"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."

"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."

"I think it would help if Data Science Studio added some more features and improved the data model."

"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."

More Dataiku cons

"The predictive analysis feature needs improvement."

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."

"Pricing is pretty steep. Dataiku is also not that cheap."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Educational Organization

14%

Manufacturing Company

Computer Software Company

Financial Services Firm

30%

Manufacturing Company

10%

Insurance Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Dataiku Data Science Studio?

Pricing is pretty steep. Dataiku is also not that cheap. It depends on the client and how much they want to spend towards a tool.

See all answers

What needs improvement with Dataiku Data Science Studio?

The no-code/low-code aspect, where DataRobot doesn't need much coding at all. Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot m...

See all answers

What is your primary use case for Dataiku Data Science Studio?

My current client has Dataiku. We do sentiment analysis and some small large language models right now. We use Dataiku as a Jupyter Notebook. We use it a lot for marketing and analytics. The market...

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Comparisons

Databricks vs Dataiku

Compared 36% of the time

KNIME vs Dataiku

Compared 13% of the time

Alteryx vs Dataiku

Compared 12% of the time

RapidMiner vs Dataiku

Compared 9% of the time

H2O.ai vs Dataiku

Compared 2% of the time

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Databricks vs Domino Data Science Platform

Compared 33% of the time

Amazon SageMaker vs Domino Data Science Platform

Compared 30% of the time

Microsoft Azure Machine Learning Studio vs Domino Data Science Platform

Compared 7% of the time

Alteryx vs Domino Data Science Platform

Compared 6% of the time

KNIME vs Domino Data Science Platform

Compared 4% of the time

More Domino Data Science Platform Competitors

Product Reports

Buyer's Guide

Dataiku

June 2024

Download Dataiku product report

Buyer's Guide

Data Science Platforms

May 2024

Download Domino Data Science Platform product report

Also Known As

Dataiku DSS

Domino Data Lab Platform

Learn More

Dataiku

Video not available

Domino Data Lab

Overview

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

Sample Customers

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

Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival

Buyer's Guide

Data Science Platforms

May 2024

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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.