Anaconda Business vs Microsoft Power BI comparison

The compared Anaconda and Microsoft 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. Microsoft is ranked #1 in BIT , with an average rating of 7.8, and holds a 20.7% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

Anaconda Business

Read 19 Anaconda Business reviews

1,678 Views
1,259 Comparison Views

95% willing to recommend

Microsoft Power BI

Read 321 Microsoft Power BI reviews

26,806 Views
16,352 Comparison Views

93% willing to recommend

Anaconda Business

Microsoft Power BI

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Anaconda Business and Microsoft Power BI based on real PeerSpot user reviews.

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

To learn more, read our detailed Data Science Platforms Report (Updated: July 2025).

Buyer's Guide

Data Science Platforms

July 2025

Download the complete report

Helped 863,679 peers since 2012

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

7.4

Number of Reviews

Ranking in other categories

Data Science Platforms (11th)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

321

Ranking in other categories

BI (Business Intelligence) Tools (1st), Reporting (1st)

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 2.1%, up 2.1% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 20.7% mindshare, down 21.9% since last year.

Data Science Platforms

BI (Business Intelligence) Tools

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

Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

Facilitates seamless data aggregation with some outdated visual elements hindering user appeal

Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.

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."

"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."

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

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

"The solution is stable."

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

"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."

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

More Anaconda Business pros

"We have found the solution to be stable."

"Constant collaboration is the most valuable. I can build a dashboard, and several co-workers can access this dashboard. We can share information that is important for decision-making. It is a very easy-to-deploy solution. It is compatible with a lot of data sources. It is also very stable and scalable. There is also a very good forum and a lot of help and online training."

"Other people can access data much more easily than before. Its usability is the main advantage, people in the company are using it."

"Good CS and administration."

"My primary use is for view of the dashboard."

"Two valuable most features are the ability to create columns and create measures."

"Microsoft BI was very helpful for me because I had a huge variety of connections. It is very convenient to build reports, even if somebody has no experience using BI tools or data visualizations. Additionally, the performance is very good when generating reports."

"Premium features that used to cost $5,000 per company per month recently became a lot more accessible. Microsoft recently implemented a per user feature in Power BI Premium; it's $20 per month."

More Microsoft Power BI pros

Cons

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

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

"It also takes up a lot of space."

"The solution would benefit from offering more automation."

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

"The interface could be improved. Other solutions, like Visual Studio, have much better UI."

"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."

"I think that the framework can be improved to make it easier for people to discover and use things on their own."

More Anaconda Business cons

"The limitations within Microsoft Power BI include the volume of data it can handle, as there's a cap on the number of rows you can keep. When you pull your data and build your models, you're restricted by this row limit. Additionally, certain SSRS features are deprecated, which can be a drawback for users who rely on those capabilities."

"Power BI could have better metadata management. It's easy to use for a single person. However, it lacks an enterprise-grade metadata management system, which can be a problem if you're doing an enterprise deployment with multiple users."

"There are some limitations in Power BI; you have to work in the Power BI base. However, if you want something not out-of-the-box and you want something custom, you have to do a lot of work."

"The visualization aspect, while being the most visible to business users, also happens the be the weakest point in the entire Microsoft BI stack."

"Microsoft has got a very large repository of all change suggestions which have been raised by the BI community. They keep on adding features that are very widely sought after by the community. We don't focus on product features. We focus on business requirements. To use the solution, we find that existing features are good enough and offer us a very effective solution."

"I would like to see some AI incorporated into this solution in the future."

"Microsoft BI typically connects to a database, often SQL Server, but it's also capable of connecting to multiple databases, pulling data from them, and allowing for data consolidation. You can then aggregate and generate dashboards and reports from this combined data. Personally, I wouldn't claim to have the expertise to suggest significant changes or additional features, as it functions quite well as is."

"I think that the solution is harder to use for people who are not experts in data."

More Microsoft Power BI cons

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."

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

"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."

"There is a license for this solution and we purchase them annually."

"Power BI is cheaper for smaller groups when comparing to competitors. It requires a monthly per-user subscription."

"The solution’s pricing is reasonable."

"Make it low in cost. It is a no-brainer!"

"In general, Microsoft BI's price is lower compared to Alteryx."

"I'm unsure about the exact cost, but the Pro license comes out to around $10 per user. There are also additional costs for custom visuals that you can pay for."

"Licensing is on a monthly basis, but I am not sure."

"While Power BI is generally a paid product, particularly for enterprise features and scalability, you can start with the free version and still achieve significant functionality."

More Microsoft Power BI pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

863,679 professionals have used our research since 2012.

Comparison Review

it_user79932

Senior Manager - BI Head at NVidia

Feb 4, 2015

Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho

1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

Manufacturing Company

University

Financial Services Firm

12%

Computer Software Company

Government

Manufacturing Company

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

Seeking lightweight open source BI software

There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...

See all answers

Is Power BI a complete platform or only a visualization tool?

Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance po...

See all answers

How does Oracle OBIEE compare with Microsoft BI?

Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...

See all answers

Comparisons

Databricks vs Anaconda Business

Compared 33% of the time

Amazon SageMaker vs Anaconda Business

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs Anaconda Business

Compared 7% of the time

MathWorks Matlab vs Anaconda Business

Compared 5% of the time

IBM SPSS Statistics vs Anaconda Business

Compared 5% of the time

More Anaconda Business Competitors

Tableau vs Microsoft Power BI

Compared 13% of the time

Domo vs Microsoft Power BI

Compared 8% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 8% of the time

Databricks vs Microsoft Power BI

Compared 7% of the time

KNIME Business Hub vs Microsoft Power BI

Compared 5% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

Anaconda Business

July 2025

Download Anaconda Business product report

Buyer's Guide

Microsoft Power BI

July 2025

Download Microsoft Power BI product report

Also Known As

No data available

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI

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

Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

Microsoft

Sample Customers

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

Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox

Buyer's Guide

Data Science Platforms

July 2025

Download Free Report

Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms. Updated: July 2025.

DOWNLOAD NOW

863,679 professionals have used our research since 2012.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.