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Anaconda Business vs Looker Studio comparison

 

Comparison Buyer's Guide

Executive Summary

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
6.8
Number of Reviews
29
Ranking in other categories
Data Science Platforms (7th)
Looker Studio
Average Rating
7.6
Reviews Sentiment
5.4
Number of Reviews
16
Ranking in other categories
Reporting (12th)
 

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 2.7% mindshare, up 2.5% since last year.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Anaconda Business2.4%
Databricks9.3%
KNIME Business Hub7.5%
Other80.8%
Data Science Platforms
Reporting Market Share Distribution
ProductMarket Share (%)
Looker Studio2.7%
Microsoft Power BI17.3%
Tableau Enterprise15.6%
Other64.4%
Reporting
 

Featured Reviews

reviewer2775498 - PeerSpot reviewer
tester at a tech vendor with 10,001+ employees
Isolate environments and switch package versions efficiently for smoother testing workflows
Overall, it works well, but there are a few things that could be better. Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries. Another thing I would appreciate is a cleaner, more intuitive interface for managing environments. It works, but a smoother UI could make the workflow faster. It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much. The documentation could be a bit clearer, especially for troubleshooting specific errors or setup issues. Sometimes I need to search extensively to find the exact steps. Also, having quicker or more detailed support responses would help when something unexpected comes up. These are not major problems, but improving them would definitely make the overall experience smoother. One small improvement I would add is smoother integration with IDEs. It works fine right now, but having even tighter or more automated syncing with tools such as VS Code or PyCharm would make the workflow faster. Perhaps also a few more built-in examples or quick-start guides for common setups would be helpful. Nothing major, just things that would make the experience even more user-friendly.
Heron Ziegel - PeerSpot reviewer
Project Engineer at Quartz Consulting Group
Has supported quick dashboard creation and data sharing but lacks tools for managing multiple reports efficiently
We integrated Looker Studio with other platforms in our data ecosystem; we tried integrating with Sheets, and that went okay, but it could have been better. It could have been better because it needed a very specific format to read the data, so we had to reformat the sheet file. Looker Studio was mostly just helpful in that it provided live updating charts for tracking performance indicators in the organization. Integrating with a database was very difficult because there wasn't a lot of feedback for what was going wrong with the connection. I don't remember if we reached out to support. I didn't personally reach out, but my boss may have. I didn't reach out to support, so I do not have experience with it to rate it. We worked with the free version of Looker Studio initially, and we upgraded at some point to the pro version; I don't remember if we actually paid for it or if it was just a free trial. The pricing was reasonable. I remember doing a price comparison, and it was pretty reasonable, but it did have fewer features than a lot of other software, which was okay for a comparable price but a little cheaper.

Quotes from Members

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

Pros

"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."
"Specific examples of improvements since using Anaconda Business include faster environment setup, where teams can instantly create and share standardized environments, eliminating dependency hell and allowing focus on analysis rather than administrative work."
"The biggest positive impact has been the consistency it brings—since everyone can use clean, isolated environments, we run into far fewer package conflicts or situations where something works on one system but not another."
"The biggest positive impact has been the consistency it brings, since everyone can use clean, isolated environments, we run into far fewer package conflicts or situations where something works on one system but not another."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The solution is stable."
"The biggest positive impact has been the consistency it brings, since everyone can use clean, isolated environments, we run into far fewer package conflicts or situations where something works on one system but not another."
"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."
"Looker's ability to perform aggregation before visualization allows for effective data slicing and dicing."
"The integration with Excel and Google Sheets is a valuable feature, making it easy to access and visualize data."
"The fact that Looker Studio is free and has a free tier was probably the biggest benefit; it is very accessible and not too difficult to use."
"What I appreciate about Looker Studio is mostly the clean visuals, which is good, as I prefer a dashboard with a clean aesthetic rather than feeling sort of an old Windows type of dashboard."
"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."
"The ability to design complex data models and equations."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"I find it favorable regarding speed of development, ease of building, and flexibility."
 

Cons

"Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries."
"Interaction and speed can be improved."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"My suggestion for improvement is that they should enhance the security point of view; it's good, but it needs some more advanced features."
"Anaconda Business is stable to an extent, but it sometimes crashes on systems with insufficient RAM, leading me to switch to Google Cloud for Jupyter Notebook usage at times."
"Anaconda should be optimized for RAM consumption."
"Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries."
"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."
"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."
"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."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"Looker Studio did not fit our needs for scalability."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"The challenges with Google Data Studio are associated with the security part, making it an area where improvements are required."
"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."
 

Pricing and Cost Advice

"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."
"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 tool is free."
"The product is available for free."
"The solution is free but the Google Looker is expensive."
"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."
"The cost is quite affordable based on feature analysis."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
11%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
10%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise2
Large Enterprise19
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise3
Large Enterprise6
 

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.
What is your experience regarding pricing and costs for Anaconda?
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
What needs improvement with Anaconda?
I believe Anaconda Business can be improved in terms of performance and speed, particularly regarding the installation process and efficiency to avoid system freezing.
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...
What needs improvement with Google Data Studio?
I would appreciate improvements in the data modeling features, as it's not straightforward, and it's not what people in analytics are used to. Specifically, most people using this visualization too...
What is your primary use case for Google Data Studio?
I used Looker Studio mainly for reporting, where I created multiple dashboards on it. I wouldn't say I made the most of the usage of the connections because all the connections were based on flat f...
 

Also Known As

No data available
Data Studio
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Genesys, Shueisha
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: February 2026.
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