Anaconda vs TIBCO Data Science comparison

Anaconda and TIBCO are both solutions in the Data Science Platforms category. Anaconda is ranked #11 with an average rating of 8.8, while TIBCO is ranked #25. Anaconda holds a 2.1% mindshare in Data Science Platforms, compared to TIBCO’s 0.6% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

Anaconda

Read 19 Anaconda reviews

1,469 Views
1,198 Comparison Views

95% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

335 Views
255 Comparison Views

100% willing to recommend

Anaconda

TIBCO Data Science

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Executive SummaryUpdated on Dec 5, 2024

Anaconda and TIBCO Data Science compete in the data science domain. Anaconda is more accessible and cost-effective, while TIBCO Data Science offers advanced features beneficial for enterprises seeking sophisticated data analytics capabilities.

Features: Anaconda includes a comprehensive package manager, wide library availability, and integration with Jupyter notebooks, which is useful for developing and deploying projects. TIBCO Data Science provides advanced analytics, automated machine learning, and predictive modeling, key for enterprise-level operations.

Room for Improvement: Anaconda could improve by enhancing support for enterprise customer needs, expanding pre-built models, and streamlining its user interface. TIBCO Data Science might benefit from lowering the pricing for smaller businesses, offering more straightforward deployment options, and improving ease of use for individual users.

Ease of Deployment and Customer Service: Anaconda provides straightforward deployment and extensive community support but lacks robust enterprise-level customer service. TIBCO Data Science offers tailored deployment options for large enterprises with dedicated customer support, ensuring smoother implementation.

Pricing and ROI: Anaconda's open-source nature results in lower costs with significant ROI, suitable for individuals and small businesses. TIBCO Data Science's pricing reflects its enterprise-grade features, delivering substantial ROI for companies that need comprehensive analytics and scalability.

To learn more, read our detailed Anaconda vs. TIBCO Data Science Report (Updated: March 2025).

Buyer's Guide

Anaconda vs. TIBCO Data Science

March 2025

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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

Ranking in Data Science Platforms

11th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Anaconda is 2.1%, down from 2.2% compared to the previous year. The mindshare of TIBCO Data Science is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

Provides all the frameworks and makes it easy to create environments for multiple projects

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

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Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

A straightforward initial setup and good reporting but needs better documentation

It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. 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. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

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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

"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."

"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."

"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, "Conda", makes life easy when it comes to managing and installing packages."

"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."

"It helped us find find the optimal area for where our warehouse should be located."

"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

"The notebook feature is an improvement over RStudio."

"The most advantageous feature is the logic building."

More Anaconda pros

"The most valuable feature is the performance."

"The most valuable feature is the ease of setting up visualizations."

"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."

Cons

"Anaconda should be optimized for RAM consumption."

"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."

"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

"Anaconda can't handle heavy workloads."

"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."

"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 process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."

"When you install Anaconda for the first time, it's really difficult to update it."

More Anaconda cons

"The scripting for customization could be improved."

"Additional templates would help to get things moving more quickly in terms of getting the reports out."

"I would like the visualization for the map of countries to be more easily configurable."

"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."

Pricing and Cost Advice

"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 open-source and free to use."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"The tool is open-source."

"The licensing costs for Anaconda are reasonable."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

Manufacturing Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.

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What is your experience regarding pricing and costs for Anaconda?

Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.

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What needs improvement with Anaconda?

Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.

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Product Reports

Buyer's Guide

Anaconda

April 2025

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Buyer's Guide

Data Science Platforms

March 2025

Download TIBCO Data Science product report

Also Known As

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Alpine Data Chorus

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

Anaconda

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.

TIBCO

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

Havas Media, Tipping Point Community, eviCore

Buyer's Guide

Anaconda vs. TIBCO Data Science

March 2025

Free Report: Anaconda vs. TIBCO Data Science

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