Anaconda vs IBM Watson Explorer comparison

The compared Anaconda and IBM solutions aren't in the same category. Anaconda is ranked #11 in Data Science Platforms , with an average rating of 8.7, and holds a 2.1% mindshare in the category. IBM is ranked #11 in DM , and holds a 1.1% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Anaconda

Read 19 Anaconda reviews

1,321 Views
339 Comparison Views

95% willing to recommend

IBM Watson Explorer

Read 10 IBM Watson Explorer reviews

61 Views
46 Comparison Views

100% willing to recommend

Anaconda

IBM Watson Explorer

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Executive Summary

We performed a comparison between Anaconda and IBM Watson Explorer based on real PeerSpot user reviews.

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Data Science Platforms

May 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

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Data Science Platforms (11th)

IBM Watson Explorer

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (11th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Anaconda is designed for Data Science Platforms and holds a mindshare of 2.1%, up 2.1% compared to last year.
IBM Watson Explorer, on the other hand, focuses on Data Mining, holds 1.1% mindshare, up 0.9% since last year.

Data Science Platforms

Data Mining

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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it_user1319820

Lead Engineer at a computer software company with 10,001+ employees

A data analysis tool that is scalable and includes keyword search functionality

The solution is used for a government company for data collection and analysis I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer. I have been using the solution for five…

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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 provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."

"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."

"The solution is stable."

"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."

"The notebook feature is an improvement over RStudio."

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

"The most valuable feature is the set of libraries that are used to support the functionality that we require."

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

More Anaconda pros

"I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."

"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."

"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."

"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."

"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."

"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."

Cons

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

"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."

"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."

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

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

"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."

"Anaconda can't handle heavy workloads."

More Anaconda cons

"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"

"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."

"The solution is expensive."

"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"

"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."

"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."

"It needs better language support, to include some other languages. Also, they should improve the user interface."

"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."

Pricing and Cost Advice

"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."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"The licensing costs for Anaconda are reasonable."

"The tool is open-source."

"The solution is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

Manufacturing Company

Government

Educational Organization

16%

Computer Software Company

13%

University

11%

Financial Services Firm

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

What is your experience regarding pricing and costs for Anaconda?

Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.

See all answers

What needs improvement with Anaconda?

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.

See all answers

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Product Reports

Buyer's Guide

Anaconda

May 2025

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Buyer's Guide

IBM Watson Explorer

May 2025

Download IBM Watson Explorer product report

Also Known As

No data available

IBM WEX

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

IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

IBM

Sample Customers

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

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda

Buyer's Guide

Data Science Platforms

May 2025

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