Compare IBM Watson Studio vs. KNIME

IBM Watson Studio is ranked 9th in Data Science Platforms with 3 reviews while KNIME is ranked 2nd in Data Science Platforms with 10 reviews. IBM Watson Studio is rated 8.4, while KNIME is rated 8.4. The top reviewer of IBM Watson Studio writes "It has greatly improved the performance because it is standardized across the company". On the other hand, the top reviewer of KNIME writes "Our average record size was around 10 million records. If we have bigger data, we can opt for a Big Data extension for Hadoop, Spark, etc". IBM Watson Studio is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio and Amazon SageMaker, whereas KNIME is most compared with Alteryx, RapidMiner and Weka. See our IBM Watson Studio vs. KNIME report.
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IBM Watson Studio Logo
4,145 views|3,200 comparisons
KNIME Logo
Read 10 KNIME reviews.
21,727 views|16,958 comparisons
Most Helpful Review
Find out what your peers are saying about IBM Watson Studio vs. KNIME and other solutions. Updated: November 2019.
382,547 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 solution is very easy to use.It is a stable, reliable product.Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.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.It has greatly improved the performance because it is standardized across the company.

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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.We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics.

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Cons
More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.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.Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge.

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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.I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something.

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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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report
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382,547 professionals have used our research since 2012.
Ranking
9th
Views
4,145
Comparisons
3,200
Reviews
3
Average Words per Review
502
Avg. Rating
8.3
2nd
Views
21,727
Comparisons
16,958
Reviews
10
Average Words per Review
335
Avg. Rating
8.4
Top Comparisons
Compared 41% of the time.
Compared 14% of the time.
Compared 7% of the time.
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSxKNIME Analytics Platform
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IBM
Knime
Overview

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

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 IBM Watson Studio
Learn more about KNIME
Sample Customers
GroupM, Accenture, Fifth Third BankInfocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Top Industries
VISITORS READING REVIEWS
Software R&D Company41%
Retailer11%
Comms Service Provider8%
Manufacturing Company6%
VISITORS READING REVIEWS
Software R&D Company23%
Comms Service Provider16%
Manufacturing Company9%
Financial Services Firm9%
Company Size
No Data Available
REVIEWERS
Small Business27%
Midsize Enterprise27%
Large Enterprise45%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise2%
Large Enterprise82%
Find out what your peers are saying about IBM Watson Studio vs. KNIME and other solutions. Updated: November 2019.
382,547 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.
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