Anaconda vs Microsoft Power BI comparison

The compared Anaconda and Microsoft solutions aren't in the same category. Anaconda is ranked #12 in Data Science Platforms , with an average rating of 8.8, and holds a 2.1% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 7.9, and holds a 21.8% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

Anaconda

Read 18 Anaconda reviews

1,550 Views
1,266 Comparison Views

95% willing to recommend

Microsoft Power BI

Read 319 Microsoft Power BI reviews

23,544 Views
18,579 Comparison Views

93% willing to recommend

Anaconda

Microsoft Power BI

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Executive Summary

We performed a comparison between Anaconda 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: February 2025).

Buyer's Guide

Data Science Platforms

February 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 (12th)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

319

Ranking in other categories

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

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%, down 2.2% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 21.8% mindshare, down 22.7% 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

James Balbach

Executive Director, Decision Support at Community Health Network

Robust system consistently elevates data visualization and seamlessly updates with user-driven advancements

Power BI is a general-use visualization system. I can express the performance of our network through high-level key performance indicators. It allows me to show detailed improvements in quality and safety and patient experience. I create improvement dashboards for task forces and work teams. I have built analytic dashboards that guide analytics, enabling research and dataset manipulation.

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

"The solution is stable."

"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 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."

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

"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 most advantageous feature is the logic building."

"The virtual environment is very good."

More Anaconda pros

"It seems stable. I haven't heard of any difficulties from my clients that utilize Power BI."

"The stability is good."

"We have found that the reporting and publishing are great."

"The initial setup is pretty straightforward."

"The product is intuitive and user-friendly."

"It is more user-friendly compared to SSRS."

"The scalability overall has been quite good."

"Ease of development and maintenance."

More Microsoft Power BI pros

Cons

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

"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."

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

"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."

"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."

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

"Anaconda can't handle heavy workloads."

More Anaconda cons

"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."

"It is not the right tool to do deeper analysis or predictions. When you have some data and you want to do some deep analysis, there is no feature to help you with this."

"The DAX in Microsoft BI is quite difficult."

"In my opinion, the software is a little bit limited in terms of the flexibility it offers, with regard to the design of the visualization."

"The dynamic browsing tables could be better in Microsoft Power BI."

"Whenever you work on the same dashboard or on the same code, Microsoft Power BI doesn't have a good architecture that allows multiple people to work on the same project."

"Defining a relationship was very confusing. There were circular directions for which I had to do a lot of adjustments in the data. They can do something to make it easier."

"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."

More Microsoft Power BI cons

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."

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

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

"The tool is open-source."

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

"I would advise that Microsoft BI products are rightly priced and the licensing is easy to follow and to fulfill."

"Power BI premium is really expensive for our market. A lot of small and medium companies would like to purchase it, but they can't afford it."

"Licensing fees are paid on a yearly basis."

"The pricing is reasonable."

"All of the licenses are on an annual basis, but Microsoft will amortize it to an extent. If it's five years, they'll include the possible interest they might have the following year. Ideally, their licensing scheme is an annual license, but they make it easier for some of our clients to take a five-year license but package everything inside for them to buy the license for five years."

"Power BI comes with enterprise Microsoft licensing. So for the user, you don't have to pay, but you do have to pay a one-time cost."

"The pricing is very reasonable compared to any other tool."

"Microsoft BI for desktop is free to use, and you can download and use it."

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

20%

Computer Software Company

10%

Manufacturing Company

University

Educational Organization

43%

Financial Services Firm

Computer Software Company

Government

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 does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.

See all answers

What needs improvement with Anaconda?

Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.

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

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Amazon SageMaker vs Anaconda

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Compared 8% of the time

KNIME vs Anaconda

Compared 5% of the time

Altair RapidMiner vs Anaconda

Compared 4% of the time

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Tableau vs Microsoft Power BI

Compared 15% of the time

Domo vs Microsoft Power BI

Compared 9% of the time

Databricks vs Microsoft Power BI

Compared 8% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 8% of the time

KNIME vs Microsoft Power BI

Compared 6% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

Anaconda

March 2025

Download Anaconda product report

Buyer's Guide

Microsoft Power BI

March 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 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

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

February 2025

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