Anaconda vs Targit Decision Suite comparison

The compared Anaconda and Targit 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. Targit is ranked #35 in RT , and holds a 0.4% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 100% of Targit users who would recommend it.

Anaconda

Read 19 Anaconda reviews

1,678 Views
1,259 Comparison Views

95% willing to recommend

Targit Decision Suite

Read 1 Targit Decision Suite review

315 Views
148 Comparison Views

100% willing to recommend

Anaconda

Targit Decision Suite

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Executive Summary

We performed a comparison between Anaconda and Targit Decision Suite based on real PeerSpot user reviews.

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Data Science Platforms

July 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)

Targit Decision Suite

Average Rating

8.0

Number of Reviews

Ranking in other categories

Reporting (35th), Embedded BI (20th)

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.
Targit Decision Suite, on the other hand, focuses on Reporting, holds 0.4% mindshare, up 0.3% since last year.

Data Science Platforms

Reporting

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_user289458

Data Science Intern at Red Hat

I can now create more meaningful charts--radar, donut, pareto, scatter, range, point, boxplot, etc., but it doesn't support Linux or commodity hardware.

* The tool is very easy to use, we got on-premise training from Panorama, within days we were proficient enough to play with the tool. * The customer service is very responsive, they answered our queries. * I saw lot of people complaining about the lack of community forum, but they do have a forum which is quite active. * The tool is extremely easy to use, with a click you can import data and create the visualizations. * The things I like most is it supports variety of charts, I was quite bored with my previous BI tool which mostly supported bar, line and pie charts. I can now create more meaningful charts radar, donut, pareto, scatter, range, point, boxplot, etc.

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

10%

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 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.

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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.

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Comparisons

Databricks vs Anaconda

Compared 35% of the time

Microsoft Power BI vs Anaconda

Compared 14% of the time

Amazon SageMaker vs Anaconda

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs Anaconda

Compared 7% of the time

IBM SPSS Statistics vs Anaconda

Compared 5% of the time

More Anaconda Competitors

Microsoft Power BI vs Targit Decision Suite

Compared 43% of the time

MicroStrategy vs Targit Decision Suite

Compared 31% of the time

Jedox vs Targit Decision Suite

Compared 26% of the time

More Targit Decision Suite Competitors

Product Reports

Buyer's Guide

Anaconda

July 2025

Download Anaconda product report

Buyer's Guide

Reporting

June 2025

Download Targit Decision Suite product report

Also Known As

No data available

Targit BI Suite

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

TARGIT is one of the largest Business Intelligence providers within Gartner's Magic Quadrant. With over 18 years of experience in the BI and Analytics segment and over 5000 customers globally, TARGIT has been consistently considered as a top player in the industry. TARGIT is a Microsoft Gold Certified Partner, recognized for strong applications development. We offer companies a user-friendly decision platform that combines intelligent dashboards, self-service analytics, and dynamic reporting.

Targit

Sample Customers

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

Platon, bubobubo, JetReports, Radley

Buyer's Guide

Data Science Platforms

July 2025

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