Anaconda vs. TIBCO Data Science Comparison

Anaconda

TIBCO Data Science

Anaconda

Read 12 Anaconda reviews.

4,825 views|3,776 comparisons

TIBCO Data Science

Read 4 TIBCO Data Science reviews.

793 views|608 comparisons

Most Helpful Review

Nikhil Gaikwad

Assistant Professor at Veermata Jijabai Technological Institute (VJTI)

Many data science applications on one single platform

It creates a good environment for a data science student to teach predictive and data analytics on one platform.

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Free Report: Anaconda vs. TIBCO Data Science

Find out what your peers are saying about Anaconda vs. TIBCO Data Science and other solutions. Updated: January 2021.

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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:

Pros
"It helped us find find the optimal area for where our warehouse should be located.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The most advantageous feature is the logic building.""The solution is stable.""The notebook feature is an improvement over RStudio.""The most valuable feature is the set of libraries that are used to support the functionality that we require.""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 virtual environment is very good." More Anaconda Pros »	"The idea that you don't have to generate reports each day but they are sent automatically is great.""We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost.""The most valuable feature is the ease of setting up visualizations.""The most valuable feature is the performance." More TIBCO Data Science Pros »
Cons
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""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.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""Having a small guide or video on the tool would help learn how to use it and what the features are.""The solution would benefit from offering more automation.""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." More Anaconda Cons »	"Additional templates would help to get things moving more quickly in terms of getting the reports out.""In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues.""I would like the visualization for the map of countries to be more easily configurable.""The scripting for customization could be improved." More TIBCO Data Science Cons »

Pricing and Cost Advice
"The licensing costs for Anaconda are reasonable.""The product is open-source and free to use." More Anaconda Pricing and Cost Advice »	Information Not Available

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Questions from the Community
Ask a question Earn 20 points	What do you like most about TIBCO Spotfire Data Science? Top Answer: The most valuable feature is the performance. Read all 4 answers What needs improvement with TIBCO Spotfire Data Science? Top Answer: The scripting for customization could be improved. Read all 4 answers What is your primary use case for TIBCO Spotfire Data Science? Top Answer: We are a solution provider and this is one of the products that we supply to our clients. This solution is primarily used for reporting. People want to see the data in their database visualized. Read all 3 answers
Ranking
6th out of 35 in Data Science Platforms Views 4,825 Comparisons 3,776 Reviews 11 Average Words per Review 477 Rating 7.7	16th out of 35 in Data Science Platforms Views 793 Comparisons 608 Reviews 4 Average Words per Review 590 Rating 7.5
Popular Comparisons
Amazon SageMaker vs. Anaconda Compared 12% of the time. Cloudera Data Science Workbench vs. Anaconda Compared 9% of the time. Microsoft BI vs. Anaconda Compared 9% of the time. Databricks vs. Anaconda Compared 7% of the time. SAP Analytics Cloud vs. Anaconda Compared 6% of the time. See more Anaconda competitors » + Add more products to compare	TIBCO Statistica vs. TIBCO Data Science Compared 29% of the time. Dataiku Data Science Studio vs. TIBCO Data Science Compared 16% of the time. IBM SPSS Statistics vs. TIBCO Data Science Compared 13% of the time. MathWorks Matlab vs. TIBCO Data Science Compared 12% of the time. Microsoft Azure Machine Learning Studio vs. TIBCO Data Science Compared 4% of the time. See more TIBCO Data Science competitors » + Add more products to compare
Also Known As
	Alpine Data Chorus
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Anaconda	TIBCO
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	TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Offer
Learn more about Anaconda Learn More	Learn more about TIBCO Data Science Learn More
Sample Customers
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone	Havas Media, Tipping Point Community, eviCore
Top Industries
REVIEWERS Financial Services Firm25% Manufacturing Company25% Non Tech Company13% Pharma/Biotech Company13% VISITORS READING REVIEWS Computer Software Company21% Comms Service Provider15% Financial Services Firm11% University7%	VISITORS READING REVIEWS Computer Software Company26% Comms Service Provider22% Energy/Utilities Company12% Pharma/Biotech Company12%
Company Size
REVIEWERS Small Business40% Large Enterprise60%	No Data Available

Anaconda is ranked 6th in Data Science Platforms with 12 reviews while TIBCO Data Science is ranked 16th in Data Science Platforms with 4 reviews. Anaconda is rated 7.8, while TIBCO Data Science is rated 7.6. 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 TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". Anaconda is most compared with Amazon SageMaker, Cloudera Data Science Workbench, Microsoft BI, Databricks and SAP Analytics Cloud, whereas TIBCO Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, IBM SPSS Statistics, MathWorks Matlab and Microsoft Azure Machine Learning Studio. See our Anaconda vs. TIBCO Data Science report.

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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.

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