Anaconda vs Looker Studio comparison

The compared Anaconda and Google 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. Google is ranked #9 in RT , with an average rating of 7.9, and holds a 2.9% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 86% of Google users who would recommend it.

Anaconda

Read 19 Anaconda reviews

1,678 Views
1,259 Comparison Views

95% willing to recommend

Looker Studio

Read 13 Looker Studio reviews

2,179 Views
937 Comparison Views

86% willing to recommend

Anaconda

Looker Studio

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Executive Summary

We performed a comparison between Anaconda and Looker Studio 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)

Looker Studio

Average Rating

7.8

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Reporting (9th)

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.
Looker Studio, on the other hand, focuses on Reporting, holds 2.9% mindshare, up 2.6% 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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Vijay Subramanyam

Delivery Head at cblsolutions

The ability to perform aggregation before visualization allows for effective data slicing and dicing

Looker's ability to perform aggregation before visualization allows for effective data slicing and dicing. The seamless integration with Excel and Google Sheets and custom filter creation features facilitate detailed trend reports and analysis. Looker has significantly improved productivity by reducing the time spent on creating summary reports from weeks to a day.

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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

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

"The solution is stable."

"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."

"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."

"The virtual environment is very good."

"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."

"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."

"Voice Configuration and Environmental Management Capabilities are the most valuable features."

More Anaconda pros

"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."

"Valuable features include advanced integrated analysis and easy implementation."

"I find it favorable regarding speed of development, ease of building, and flexibility."

"The ability to integrate with a great variety of data sources."

"Looker's ability to perform aggregation before visualization allows for effective data slicing and dicing."

"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."

"The ability to design complex data models and equations."

"The best thing about the tool is that it allows you to share information easily and dashboards with colleagues and teammates because it's all online. No matter where you are, as long as you have the Internet, you can connect and use these dashboards. Google made good documentation for this tool. There are many examples of how to use and create dashboards and videos on YouTube. So, I think it's easy to learn."

More Looker Studio pros

Cons

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

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

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

"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."

"Anaconda should be optimized for RAM consumption."

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

"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."

"Having a small guide or video on the tool would help learn how to use it and what the features are."

More Anaconda cons

"The tool has a lot of room for improvement. It's not very professional and allows for only simple tasks like indicating KPIs or quick calculations. It lacks a good calculation-based language like Power BI's DAX, making it less suitable for professional use. Additionally, the variety of visualization tools is limited, and customization options are restricted."

"Panels are not as easy to use as other data extraction UIs."

"From the perspective of infrastructure, I cannot provide a valuable opinion on the ease of use and customization options of Looker Studio."

"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."

"Other tools might be worth considering if you need more advanced features or support for a larger user base."

"There is a significant degree of sophistication required to compete with Tableau or Cognos."

"The performance of Looker needs improvement, particularly the report loading time, which is critical for business users."

"The tool should improve on live data integration for quicker data reflection."

More Looker Studio cons

Pricing and Cost Advice

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

"The product is open-source and free to use."

"The licensing costs for Anaconda are reasonable."

"The tool is open-source."

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

"The solution is free but the Google Looker is expensive."

"The tool is free."

"The product is available for free."

"The cost is quite affordable based on feature analysis."

"I think the tool is cheap because you don't need to pay anything for using the tool. However, when connecting and analyzing other data sources, you should consider where to analyze this information because Google Data Studio doesn't handle much data well. You must also consider how you will connect this data to it. In this case, you might need to hire DevOps or a data team to help with these issues."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

10%

Manufacturing Company

University

Computer Software Company

13%

Financial Services Firm

12%

Manufacturing Company

University

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

What do you like most about Google Data Studio?

The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, all...

See all answers

What needs improvement with Google Data Studio?

From the perspective of infrastructure, I cannot provide a valuable opinion on the ease of use and customization options of Looker Studio. I can ask our designers how they feel since they have expe...

See all answers

What is your primary use case for Google Data Studio?

We use Looker and Looker Studio, as Looker licenses Looker Studio for data presentation and reporting. With GCP, we use Cloud Functions, Cloud Run, Kubernetes, and we utilize BigQuery extensively. ...

See all answers

Comparisons

Databricks vs Anaconda

Compared 35% of the time

Microsoft Power BI vs Anaconda

Compared 14% of the time

Amazon SageMaker vs Anaconda

Compared 13% 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

Amazon QuickSight vs Looker Studio

Compared 44% of the time

Microsoft Power BI vs Looker Studio

Compared 17% of the time

Tableau vs Looker Studio

Compared 7% of the time

IBM Cognos vs Looker Studio

Compared 5% of the time

Qlik Sense vs Looker Studio

Compared 4% of the time

More Looker Studio Competitors

Product Reports

Buyer's Guide

Anaconda

July 2025

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Buyer's Guide

Looker Studio

July 2025

Download Looker Studio product report

Also Known As

No data available

Data Studio

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

Google Looker Studio is a free tool designed to help users create visually appealing reports and dashboards, making data easier to understand. It allows you to connect to various data sources such as Google Analytics, Facebook Ads, and spreadsheets. With Looker Studio, you can create charts and graphs to showcase trends and comparisons, build comprehensive dashboards that provide an overview of your data, and customize reports to match your brand or preferences. Additionally, you can share your reports online or export them as PDFs for wider distribution.

Google

Sample Customers

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

Genesys, Shueisha

Buyer's Guide

Data Science Platforms

July 2025

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