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Anaconda Business vs Cloudera Data Science Workbench comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Anaconda Business
Ranking in Data Science Platforms
6th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
31
Ranking in other categories
No ranking in other categories
Cloudera Data Science Workb...
Ranking in Data Science Platforms
24th
Average Rating
7.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Data Science Platforms category, the mindshare of Anaconda Business is 2.0%, down from 2.1% compared to the previous year. The mindshare of Cloudera Data Science Workbench is 1.6%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Anaconda Business2.0%
Cloudera Data Science Workbench1.6%
Other96.4%
Data Science Platforms
 

Featured Reviews

reviewer2775498 - PeerSpot reviewer
tester at a tech vendor with 10,001+ employees
Isolate environments and switch package versions efficiently for smoother testing workflows
Overall, it works well, but there are a few things that could be better. Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries. Another thing I would appreciate is a cleaner, more intuitive interface for managing environments. It works, but a smoother UI could make the workflow faster. It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much. The documentation could be a bit clearer, especially for troubleshooting specific errors or setup issues. Sometimes I need to search extensively to find the exact steps. Also, having quicker or more detailed support responses would help when something unexpected comes up. These are not major problems, but improving them would definitely make the overall experience smoother. One small improvement I would add is smoother integration with IDEs. It works fine right now, but having even tighter or more automated syncing with tools such as VS Code or PyCharm would make the workflow faster. Perhaps also a few more built-in examples or quick-start guides for common setups would be helpful. Nothing major, just things that would make the experience even more user-friendly.
Ismail Peer - PeerSpot reviewer
Program Management Lead Advisor at Unionbank Philippines
Useful for data science modeling but improvement is needed in MLOps and pricing
If you don't configure CDSW well, then it might be not useful for you. Deploying the tool can vary in complexity, but most of the time, it's relatively simple and straightforward. Triggering a job from data to production is easy, as the platform automates the deployment process. However, ensuring optimal resource allocation is essential for smooth operations.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Anaconda Business has positively impacted my organization by enhancing security and compliance, providing a consistent environment across teams, improving productivity, ensuring reliable package availability even offline, streamlining governance and control, and allowing better integration with enterprise systems."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"The biggest positive impact has been the consistency it brings, since everyone can use clean, isolated environments, we run into far fewer package conflicts or situations where something works on one system but not another."
"Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"Previously, we were using RStudio, PyCharm for data science domain, but with this software, we've got a perfect platform to teach data science."
"Anaconda Business has positively impacted my organization by bringing productivity for cybersecurity compliance and bringing financial efficiency for our clients."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The Cloudera Data Science Workbench is customizable and easy to use."
"I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."
 

Cons

"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"I haven't noticed any specific time savings or workflow ease from Anaconda Business."
"The solution would benefit from offering more automation."
"Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries."
"Anaconda Business is stable to an extent, but it sometimes crashes on systems with insufficient RAM, leading me to switch to Google Cloud for Jupyter Notebook usage at times."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known that I have seen."
"Anaconda can't handle heavy workloads."
"There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"We found this solution a little bit difficult to scale."
"The tool's MLOps is not good. It's pricing also needs to improve."
 

Pricing and Cost Advice

"My company uses the free version of the tool. There is also a paid version of the tool available."
"The licensing costs for Anaconda are reasonable."
"The tool is open-source."
"The product is open-source and free to use."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"The product is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
University
10%
Manufacturing Company
7%
Construction Company
7%
Financial Services Firm
29%
Manufacturing Company
7%
Wholesaler/Distributor
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise2
Large Enterprise20
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Anaconda?
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
What needs improvement with Anaconda?
Anaconda Business could be improved by being more integrated with new CLI tools like Cloud Code or Codex.
What is your primary use case for Anaconda?
I use Anaconda Business day-to-day, with the main tool being Jupyter Notebook, which I have on my computer for cleaning and extracting data. I extract data from Excel using Anaconda Business and cl...
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Also Known As

No data available
CDSW
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
IQVIA, Rush University Medical Center, Western Union
Find out what your peers are saying about Anaconda Business vs. Cloudera Data Science Workbench and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.