Compare Anaconda vs. Domino Data Science Platform

Anaconda is ranked 11th in Data Science Platforms with 10 reviews while Domino Data Science Platform is ranked 17th in Data Science Platforms with 1 review. Anaconda is rated 7.6, while Domino Data Science Platform is rated 7.0. The top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". On the other hand, the top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". Anaconda is most compared with Databricks, Amazon SageMaker and Cloudera Data Science Workbench, whereas Domino Data Science Platform is most compared with Amazon SageMaker, Databricks and Dataiku Data Science Studio.
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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:

The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.The virtual environment is very good.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 most valuable feature is the set of libraries that are used to support the functionality that we require.The notebook feature is an improvement over RStudio.The solution is stable.The most advantageous feature is the logic building.It helped us find find the optimal area for where our warehouse should be located.

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The scalability of the solution is good; I'd rate it four out of five.

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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.The solution would benefit from offering more automation.Having a small guide or video on the tool would help learn how to use it and what the features are.I think that the framework can be improved to make it easier for people to discover and use things on their own.One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together.The interface could be improved. Other solutions, like Visual Studio, have much better UI.The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.

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The predictive analysis feature needs improvement.

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Pricing and Cost Advice
The product is open-source and free to use.The licensing costs for Anaconda are reasonable.

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Also Known As
Domino Data Lab Platform
Continuum Analytics
Domino Data Lab
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Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

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.

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Sample Customers
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, BridgestoneAllstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
Top Industries
Financial Services Firm29%
Manufacturing Company29%
Pharma/Biotech Company14%
Non Tech Company14%
Software R&D Company40%
Financial Services Firm11%
Manufacturing Company9%
Transportation Company5%
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
390,510 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.