Anaconda Business 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 2.4% mindshare in the category. Google is ranked #10 in RT , with an average rating of 7.8, and holds a 3.1% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 82% of Google users who would recommend it.

Anaconda Business

Read 20 Anaconda Business reviews

1,645 Views
1,201 Comparison Views

95% willing to recommend

Looker Studio

Read 15 Looker Studio reviews

1,842 Views
829 Comparison Views

82% willing to recommend

Anaconda Business

Looker Studio

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Executive Summary

We performed a comparison between Anaconda Business and Looker Studio based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms.

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Data Science Platforms

September 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 Business

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (11th)

Looker Studio

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Reporting (10th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Anaconda Business is designed for Data Science Platforms and holds a mindshare of 2.4%, up 2.1% compared to last year.
Looker Studio, on the other hand, focuses on Reporting, holds 3.1% mindshare, up 2.4% since last year.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Anaconda Business	2.4%
Databricks	13.9%
KNIME Business Hub	11.9%
Other	71.8%

Data Science Platforms

Reporting Market Share Distribution
Product	Market Share (%)
Looker Studio	3.1%
Microsoft Power BI	23.8%
Tableau Enterprise	20.2%
Other	52.9%

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.

Read full review

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.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

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

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

"The notebook feature is an improvement over RStudio."

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

"I can use Anaconda for non-heavy tasks."

"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."

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

More Anaconda Business 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."

"This has improved our organization by allowing people to see their data and develop visualizations themselves."

"The product's initial setup phase is very simple."

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

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

"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."

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

"The integration with Excel and Google Sheets is a valuable feature, making it easy to access and visualize data."

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."

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

"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."

"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 consumes a significant amount of processing memory when working on it."

"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."

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

More Anaconda Business cons

"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."

"Stability and scalability an be improved for a full ten."

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

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

"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."

"The challenges with Google Data Studio are associated with the security part, making it an area where improvements are required."

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

More Looker Studio cons

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 licensing costs for Anaconda are reasonable."

"The tool is open-source."

"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 product is available for free."

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

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

"The tool is free."

"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

17%

Manufacturing Company

Computer Software Company

University

Computer Software Company

13%

Financial Services Firm

11%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	3
Large Enterprise	6

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?

We are aware that there are areas in Looker Studio that could be improved. Out of the box, if you don't utilize a template or create a template, which can take significant time, it's not the most u...

See all answers

What is your primary use case for Google Data Studio?

Regarding the product, I was doing research for a client in the LMS industry. I was seeing what else was out there and why certain things were pulling for certain reasons. I wouldn't say I'm techni...

See all answers

Comparisons

Databricks vs Anaconda Business

Compared 23% of the time

Microsoft Power BI vs Anaconda Business

Compared 13% of the time

Google Cloud Datalab vs Anaconda Business

Compared 9% of the time

Amazon SageMaker vs Anaconda Business

Compared 9% of the time

IBM SPSS Statistics vs Anaconda Business

Compared 8% of the time

More Anaconda Business Competitors

Amazon QuickSight vs Looker Studio

Compared 41% of the time

Microsoft Power BI vs Looker Studio

Compared 16% of the time

Tableau Enterprise vs Looker Studio

Compared 7% of the time

Qlik Sense vs Looker Studio

Compared 4% of the time

Microsoft SQL Server Reporting Services vs Looker Studio

Compared 4% of the time

More Looker Studio Competitors

Product Reports

Buyer's Guide

Anaconda Business

October 2025

Download Anaconda Business product report

Buyer's Guide

Looker Studio

October 2025

Download Looker Studio product report

Also Known As

No data available

Data Studio

Overview

Anaconda Business provides a comprehensive platform for data science applications, integrating extensive libraries and seamless Python and R compatibility, enhancing developer productivity.

Anaconda Business offers data science professionals a platform combining extensive library support with pre-built models and seamless integration of Python and R environments. With features like a user-friendly interface and integrated Jupyter Notebook, it facilitates real-time code execution and debugging. Environmental management is simplified via Conda, while cloud-based access and package management enhance user experience. Community support and integration with applications like RStudio and Jupyter aid in data science and deep learning tasks.

What are the key features of Anaconda Business?

Extensive Library Support: Access numerous libraries for enhanced development capabilities.
Seamless Python and R Integration: Foster productivity through combined language support.
Cloud-Based Access: Facilitate collaboration and accessibility across teams.
Jupyter Notebook Integration: Enable real-time code execution and debugging.
Conda Environment Management: Simplify setup and management of environments.

What benefits should be considered in Anaconda Business?

Efficient Development: Streamline workflows with comprehensive tool integration.
Enhanced Collaboration: Utilize cloud-based tools for teamwork and data sharing.
Scalability: Adapt to growing workloads with robust capabilities.
Community Support: Leverage community expertise for solutions and troubleshooting.

Anaconda Business is widely used in industries like machine learning and data analysis, where it's employed for tasks such as predictive modeling and data visualization. Organizations utilize its compatibility with tools like Scikit-learn and TensorFlow for creating statistical models, supporting applications in fields such as analytics, education, subrogation, and warehouse management.

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

September 2025

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