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Anaconda vs IBM Watson Studio comparison

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Anaconda Logo
5,646 views|4,666 comparisons
IBM Logo
5,323 views|4,290 comparisons
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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610,518 professionals have used our research since 2012.
Questions from the Community
Top Answer:With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager… more »
Top Answer:The solution's support is important and needs to be better. I don't have the last update due to the fact that when I tried to update it I had an error and ran into issues. It's not just me; lots of… more »
Top Answer:In Anaconda, we get everything: RStudio, Spyder, and Jupyter. R Studio is for R, and Spyder and Jupyter are for Python. Using these, we will be doing data wrangling and data modeling for a developing… more »
Top Answer:We are looking to automate (parts of) our budgeting and financial forecasting cycle
Top Answer:It has a lot of data connectors, which is extremely helpful.
Top Answer:It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing… more »
Ranking
11th
Views
5,646
Comparisons
4,666
Reviews
2
Average Words per Review
343
Rating
9.0
13th
Views
5,323
Comparisons
4,290
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Overview

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

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.

Offer
Learn more about Anaconda
Learn more about IBM Watson Studio
Sample Customers
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
GroupM, Accenture, Fifth Third Bank
Top Industries
REVIEWERS
Financial Services Firm20%
Manufacturing Company20%
Non Tech Company10%
Pharma/Biotech Company10%
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider15%
Financial Services Firm13%
Government8%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company20%
Financial Services Firm9%
Educational Organization8%
Company Size
REVIEWERS
Small Business44%
Large Enterprise56%
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise15%
Large Enterprise69%
REVIEWERS
Small Business78%
Large Enterprise22%
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise16%
Large Enterprise65%
Buyer's Guide
Data Science Platforms
June 2022
Find out what your peers are saying about Databricks, Alteryx, Knime and others in Data Science Platforms. Updated: June 2022.
610,518 professionals have used our research since 2012.

Anaconda is ranked 11th in Data Science Platforms with 3 reviews while IBM Watson Studio is ranked 13th in Data Science Platforms. Anaconda is rated 9.0, while IBM Watson Studio is rated 0.0. The top reviewer of Anaconda writes "Good virtualization, great documentation, and has an active supportive community". On the other hand, Anaconda is most compared with Amazon SageMaker, Databricks, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and Dataiku Data Science Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Databricks and KNIME.

See our list of best Data Science Platforms vendors.

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.