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 2.4% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.0, and holds a 14.1% 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 20 Anaconda Business reviews

1,645 Views
1,201 Comparison Views

95% willing to recommend

Microsoft Power BI

Read 326 Microsoft Power BI reviews

22,361 Views
13,864 Comparison Views

93% willing to recommend

Anaconda Business

Microsoft Power BI

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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, Amazon Web Services (AWS), Knime and others in Data Science Platforms.

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

Buyer's Guide

Data Science Platforms

October 2025

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Helped 872,029 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

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (11th)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

326

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 2.4%, up 2.1% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 14.1% mindshare, down 21.7% 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

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Microsoft Power BI	14.1%
Tableau Enterprise	10.3%
Amazon QuickSight	4.9%
Other	70.7%

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

"The documentation is excellent and the solution has a very large and active community that supports it."

"The most advantageous feature is the logic building."

"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."

"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."

"The virtual environment is very good."

"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."

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

"Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior."

More Anaconda Business pros

"Its seamless integration with Microsoft products, such as Microsoft SQL Server or Microsoft Excel, is the most valuable."

"Provides good data flow related to the container and control flow."

"It's easy to create reports and it's easy to download the data from the corresponding report."

"The most valuable feature is definitely the visual aspect and the DAX capabilities to virtually do anything."

"The use of graphics to show and view the data indicators is the most valuable feature. It is also very stable."

"The solution has a good toggling feature."

"PowerBi is used to import our production data and generate dashboards, then integrates other Excel sheets to provide managers dashboards. This helps them get insights to make better OEE improvement decisions, mainly where to focus resources. We became able to see indicators from any time frame (day, week, month, or year), then could make better decisions."

"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."

More Microsoft Power BI pros

Cons

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

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

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

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

"The solution would benefit from offering more automation."

"My suggestion for improvement is that they should enhance the security point of view; it's good, but it needs some more advanced features."

"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."

More Anaconda Business cons

"Maybe they can enhance the UI a bit. Right now, it's very basic, I would say, compared to the MicroStrategy or Qlik."

"Some kind of expression wizard, where the user can build a complex expression without any knowledge of DAX, can be a good addition to the product."

"The initial setup is a little bit technical."

"The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug."

"The on-premises version lacks some technical features that are available with the Cloud version."

"When I create measures, sometimes the error messages aren't clear. It makes me spend more time searching for solutions. I need the error messages to be more specific. So, I would like clearer error messages when creating measures."

"I think that the product would benefit by increasing the range of visuals and graphics readily available, as opposed to using a third party included as part of the product."

"The cost of the solution can get high."

More Microsoft Power BI cons

Pricing and Cost Advice

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

"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 tool is open-source."

"The licensing costs for Anaconda are reasonable."

"All in all, for the price, this is an excellent tool for helping your organization turn mounds of data into useful insights."

"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."

"I used a two months free trial to see if it had what I needed."

"Once the trial period for the BI service is over, the cost is approximately $10 USD per user, per month, so it's quite reasonable."

"I rate the product pricing a ten."

"It is somewhere in the middle in terms of price. Licensing is quite clear."

"Setup is easy, and the cost is economical. You do sometimes need to pay additional costs for third party products which "plug-in" to Microsoft BI."

"It's straightforward licensing."

More Microsoft Power BI pricing and cost advice

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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

18%

Manufacturing Company

University

Computer Software Company

Financial Services Firm

12%

Government

Computer Software Company

Manufacturing Company

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	134
Midsize Enterprise	57
Large Enterprise	165

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?

My experience with pricing, setup cost, and licensing is satisfactory.

See all answers

What needs improvement with Anaconda?

I think Anaconda Business is performing well overall. My suggestion for improvement is that they should enhance the security point of view; it's good, but it needs some more advanced features.

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

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Compared 22% of the time

Google Cloud Datalab vs Anaconda Business

Compared 9% of the time

IBM SPSS Statistics vs Anaconda Business

Compared 8% of the time

Amazon SageMaker vs Anaconda Business

Compared 8% of the time

SAP BusinessObjects Business Intelligence Platform vs Anaconda Business

Compared 6% of the time

More Anaconda Business Competitors

Tableau Enterprise vs Microsoft Power BI

Compared 14% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 11% of the time

Domo vs Microsoft Power BI

Compared 7% of the time

Databricks vs Microsoft Power BI

Compared 6% of the time

KNIME Business Hub vs Microsoft Power BI

Compared 4% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

Anaconda Business

October 2025

Download Anaconda Business product report

Buyer's Guide

Microsoft Power BI

October 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

October 2025

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