Compare Cloudera Data Science Workbench vs. KNIME
Use Cloudera Data Science Workbench? Share your opinion.
 | Hemant Addal Senior Vice President at a financial services firm |
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: March 2021.
475,705 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:
"The Cloudera Data Science Workbench is customizable and easy to use."
"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."
Cons
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"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."
Information Not Available
"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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475,705 professionals have used our research since 2012.
Top Answer: The Cloudera Data Science Workbench is customizable and easy to use.
Top Answer: Running this solution requires a minimum of 12GB to 16GB of RAM. In the future, I would like to see a student version of the Data Science Workbench that includes sample datasets that can be used for… more »
Top Answer: I am a professor and this is one of the solutions that I use as a teaching tool for my students. The most recent version can be used by the students while they are working in the labs because our… more »
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 »
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Average Words per Review
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CDSW
KNIME Analytics Platform
Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.
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.
Learn more about Cloudera Data Science Workbench
Learn more about KNIME
IQVIA, Rush University Medical Center, Western Union
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Computer Software Company30%
Comms Service Provider14%
Financial Services Firm13%
Insurance Company6%
Comms Service Provider18%
Retailer18%
Government18%
University18%
Computer Software Company21%
Comms Service Provider21%
Financial Services Firm7%
Manufacturing Company6%
No Data Available
Small Business31%
Midsize Enterprise35%
Large Enterprise35%
Small Business38%
Midsize Enterprise9%
Large Enterprise53%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: March 2021.
475,705 professionals have used our research since 2012.
Cloudera Data Science Workbench is ranked 18th in Data Science Platforms with 1 review while KNIME is ranked 3rd in Data Science Platforms with 13 reviews. Cloudera Data Science Workbench is rated 8.0, while KNIME is rated 8.4. The top reviewer of Cloudera Data Science Workbench writes "Customizable, easy to install, and easy to use". On the other hand, the top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Alteryx, Anaconda and H2O.ai, whereas KNIME is most compared with Alteryx, RapidMiner, Weka, Dataiku Data Science Studio and Google Cloud Datalab.
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