Compare Domino Data Science Platform vs. KNIME

Domino Data Science Platform is ranked 17th in Data Science Platforms with 1 review while KNIME is ranked 2nd in Data Science Platforms with 10 reviews. Domino Data Science Platform is rated 7.0, while KNIME is rated 8.2. 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 Amazon SageMaker, Databricks and Dataiku Data Science Studio, whereas KNIME is most compared with Alteryx, RapidMiner and Weka.
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Read 10 KNIME reviews.
22,275 views|17,380 comparisons
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Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
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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 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.This solution is easy to use and especially good at data preparation and wrapping.It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop.Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis.Clear view of the data at every step of ETL process enables changing the flow as needed.We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders.The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine.Easy to connect with every database: We use queries from SQL, Redshift, Oracle.

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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.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.They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning.The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R).The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily.‚ÄčThe data visualization part is the area most in need of improvement.The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best.Data visualization needs improvement.

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Pricing and Cost Advice
Information Not Available
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.

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Ranking
17th
Views
2,641
Comparisons
2,001
Reviews
1
Average Words per Review
164
Avg. Rating
7.0
2nd
Views
22,275
Comparisons
17,380
Reviews
10
Average Words per Review
352
Avg. Rating
8.2
Top Comparisons
Compared 41% of the time.
Compared 14% of the time.
Compared 7% of the time.
Also Known As
Domino Data Lab PlatformKNIME Analytics Platform
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Domino Data Lab
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Knime
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
Learn more about Domino Data Science Platform
Learn more about KNIME
Sample Customers
Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, CarnivalInfocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Top Industries
VISITORS READING REVIEWS
Software R&D Company40%
Financial Services Firm11%
Manufacturing Company9%
Transportation Company5%
VISITORS READING REVIEWS
Software R&D Company23%
Comms Service Provider16%
Manufacturing Company9%
Financial Services Firm9%
Company Size
No Data Available
REVIEWERS
Small Business23%
Midsize Enterprise31%
Large Enterprise46%
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise1%
Large Enterprise81%
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
390,810 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.