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 19 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

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

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

Buyer's Guide

Data Science Platforms

September 2025

Download the complete report

Helped 868,787 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

7.3

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

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

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

"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 notebook feature is an improvement over RStudio."

"The virtual environment is very good."

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

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

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

More Anaconda Business pros

"It is useful for bringing visualization to data. It calculates counts, ratios, etc."

"It has greatly improved our reporting capabilities."

"There is a feature in Microsoft BI that allows JSON data to SQL on the dashboards effectively and quickly."

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

"Many of my customers already use Microsoft products like Office 365, so I often propose Microsoft Power BI because it integrates well with all the standard Microsoft business tools. And it's the quickest tool to implement and start using daily."

"One of the most valuable features of Microsoft Power BI is its easy way of sharing data within the organization or outside."

"Provides a full platform (database, ETL, reporting, analysis, and so on)"

"There was a lot of manual work involved with Excel, whereas once we moved on to Microsoft Power BI, it was a cleaner dashboard and it was faster too."

More Microsoft Power BI pros

Cons

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

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

"Anaconda should be optimized for RAM consumption."

"The solution would benefit from offering more automation."

"It also takes up a lot of space."

"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."

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

"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."

More Anaconda Business cons

"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."

"We face multiple issues, and the connection drops off multiple times while integrating Microsoft Power BI with OAC and pulling in the data."

"The reporting could be a bit better."

"The solution could benefit by allowing deeper data analytics."

"Areas of Power BI that could be improved are the learning curve for developers who come from non-technical backgrounds."

"From any improvement perspective, I want the product to be made available to users free of cost...The stability and scalability of the product can be better."

"I would like to see a change in the premium capacity."

"I have found that some issues exist, indicating room for improvement in scalability."

More Microsoft Power BI 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."

"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."

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

"The solution is less expensive than other PowerBI tools, which is why most people go with it, although it does cost more than MSBI tools."

"Microsoft BI is considered to be competitively priced when compared to other similar solutions in the market."

"Licensing fees are paid on a yearly basis."

"Power BI is cost-effective compared to other reporting tools."

"The price of Microsoft BI is expensive. We found the price of Tableau to be less expensive."

"There is room for at least 45% discount as compared to the initial price."

"It is a cheap solution for our needs."

"They are charging us by users in storage, and there is a license fee. My financial people handle all that. The client has already worked out a contract with Microsoft, and basically, we're getting government prices."

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

868,787 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

18%

Manufacturing Company

Computer Software Company

University

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	2
Large Enterprise	10

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?

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 23% of the time

Amazon SageMaker vs Anaconda Business

Compared 9% of the time

IBM SPSS Statistics vs Anaconda Business

Compared 8% of the time

Google Cloud Datalab 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 12% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 11% of the time

Databricks vs Microsoft Power BI

Compared 7% of the time

Domo vs Microsoft Power BI

Compared 5% 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

September 2025

Download Anaconda Business product report

Buyer's Guide

Microsoft Power BI

September 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

September 2025

Download Free Report

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

DOWNLOAD NOW

868,787 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.