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Most Helpful Review
Use Cloudera Data Science Workbench? Share your opinion.
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: December 2020.
454,950 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 Cloudera Data Science Workbench is customizable and easy to use."

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"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search""Automation with Databricks is very easy when using the API.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.""I work in the data science field and I found Databricks to be very useful.""The time travel feature is the solution's most valuable aspect.""I haven't heard about any major stability issues. At this time I feel like it's stable.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

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Cons
"Running this solution requires a minimum of 12GB to 16GB of RAM."

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"The integration features could be more interesting, more involved.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.""It should have more compatible and more advanced visualization and machine learning libraries.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""Pricing is one of the things that could be improved.""The product needs samples and templates to help invite users to see results and understand what the product can do."

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Pricing and Cost Advice
Information Not Available
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.""We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.""The pricing depends on the usage itself.""I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself.""The price is okay. It's competitive."

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Questions from the Community
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 most valuable feature is the ability to use SQL directly with Databricks.
Top Answer: We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.
Top Answer: I have seen better user interfaces, so that is something that can be improved. It was quite hard to deploy.
Ranking
18th
Views
4,045
Comparisons
3,622
Reviews
1
Average Words per Review
302
Rating
8.0
2nd
Views
20,571
Comparisons
17,575
Reviews
16
Average Words per Review
581
Rating
7.9
Popular Comparisons
Compared 13% of the time.
Compared 10% of the time.
Compared 8% of the time.
Compared 3% of the time.
Also Known As
CDSWDatabricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Learn
Cloudera
Databricks
Overview

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.

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

Offer
Learn more about Cloudera Data Science Workbench
Learn more about Databricks
Sample Customers
IQVIA, Rush University Medical Center, Western UnionElsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider16%
Financial Services Firm9%
Media Company7%
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider13%
Media Company8%
Government5%
Company Size
No Data Available
REVIEWERS
Small Business12%
Midsize Enterprise24%
Large Enterprise65%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: December 2020.
454,950 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 18th in Data Science Platforms with 1 review while Databricks is ranked 2nd in Data Science Platforms with 17 reviews. Cloudera Data Science Workbench is rated 8.0, while Databricks is rated 8.0. 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 Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Cloudera Data Science Workbench is most compared with Amazon SageMaker, Anaconda, Alteryx, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio, whereas Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Azure Stream Analytics, Alteryx and Microsoft BI.

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