Compare Domino Data Science Platform vs. KNIME

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Read 13 KNIME reviews.
22,941 views|17,350 comparisons
Most Helpful Review
Use Domino Data Science Platform? Share your opinion.
Hemant Addal
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
511,607 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
"The scalability of the solution is good; I'd rate it four out of five."

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"This open-source product can compete with category leaders in ELT software.""The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.""This solution is easy to use and especially good at data preparation and wrapping.""It's a coding-less opportunity to use AI. This is the major value for me.""This solution is easy to use and it can be used to create any kind of model.""All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.""What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.""It is very fast to develop solutions."

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Cons
"The predictive analysis feature needs improvement."

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"The ability to handle large amounts of data and performance in processing need to be improved.""I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script.""It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end.""There should be better documentation and the steps should be easier.""KNIME needs to provide more documentation and training materials, including webinars or online seminars.""The predefined workflows could use a bit of improvement.""The documentation is lacking and it could be better.""There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."

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Pricing and Cost Advice
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"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website.""The price of KNIME is quite reasonable and the designer tool can be used free of charge.""It's an open-source solution.""The price for Knime is okay.""At this time, I am using the free version of Knime.""This is an open-source solution that is free to use.""There is a Community Edition and paid versions available."

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Top Answer: The product is open-source and therefore free to use.
Top Answer: The solution is open-source and therefore cheap to use. Anyone can access it. They can just download it off the internet and start. Alteryx is way too expensive. In terms of pricing, it's always… more »
Top Answer: The user interface could be a bit better. It's currently very dated. They should look at other vendors like Alteryx that are more user friendly and modern. From a systems point of view, the tool is… more »
Ranking
20th
Views
3,821
Comparisons
2,944
Reviews
1
Average Words per Review
164
Rating
7.0
3rd
Views
22,941
Comparisons
17,350
Reviews
12
Average Words per Review
466
Rating
8.3
Popular Comparisons
Also Known As
Domino Data Lab Platform
KNIME Analytics Platform
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Domino Data Lab
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Overview

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.

KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.
Offer
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Sample Customers
Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Top Industries
VISITORS READING REVIEWS
Computer Software Company24%
Financial Services Firm15%
Manufacturing Company10%
Insurance Company9%
REVIEWERS
Comms Service Provider18%
Retailer18%
Government18%
University18%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company20%
Financial Services Firm8%
Manufacturing Company7%
Company Size
No Data Available
REVIEWERS
Small Business31%
Midsize Enterprise35%
Large Enterprise35%
VISITORS READING REVIEWS
Small Business35%
Midsize Enterprise9%
Large Enterprise56%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
511,607 professionals have used our research since 2012.

Domino Data Science Platform is ranked 20th in Data Science Platforms with 1 review while KNIME is ranked 3rd in Data Science Platforms with 13 reviews. Domino Data Science Platform is rated 7.0, while KNIME is rated 8.4. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, the top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Alteryx, Dataiku Data Science Studio and Anaconda, whereas KNIME is most compared with Alteryx, RapidMiner, Databricks, Dataiku Data Science Studio and Cloudera Data Science Workbench.

See our list of best Data Science Platforms vendors.

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