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 22.6% 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

1,734 Views
1,421 Comparison Views

95% willing to recommend

Microsoft Power BI

Read 318 Microsoft Power BI reviews

25,672 Views
20,611 Comparison Views

93% willing to recommend

Anaconda

Microsoft Power BI

Comparison Buyer's Guide

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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.

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Data Science Platforms

January 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

318

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 2.3% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 22.6% mindshare, up 22.5% 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.

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

"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."

"The solution is stable."

"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 notebook feature is an improvement over RStudio."

"The virtual environment is very good."

"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."

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

More Anaconda pros

"As it was my first time using Power BI, I can say that it was fairly easy to learn, especially if you already know BI-type tools."

"The most valuable feature would be the abundance of connectors. It is also easy to use."

"I also find connecting to different data sources is quite simple. Other solutions we were using before were complicated."

"SSRS and the Tabular server/Vertipaq engine/DAX are probably the two most valuable components."

"Implementation is very quick and the solution is very user-friendly."

"The solution's initial setup isn't too complicated."

"What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable."

"When we are introducing Microsoft BI to our clients, if they're familiar with Excel, the transition phase will be much easier for them. They can easily switch from Microsoft Excel to Microsoft BI. The core foundation or the base technology is the same in both tools. There are a few limitations in Microsoft Excel, and this is where Microsoft BI comes in."

More Microsoft Power BI pros

Cons

"Anaconda can't handle heavy workloads."

"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."

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

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

"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."

"When you install Anaconda for the first time, it's really difficult to update it."

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

More Anaconda cons

"I would like Microsoft to include some inbuilt machine learning so that it becomes point-and-click, rather than us developing models out of API and BI connecting to that and getting the results. That process gets in the way of continuity."

"It's quite difficult to learn how to use Power BI."

"It has come a long way in terms of how it was working two years ago, but there are some things that you still can't do with it. For example, permission management and user access management are still a bit limited. It is basically based on the idea that everybody from the organization can see everything or limit the type of data they can see. If I want you to see only one report and the other guy to see another report, I can't do it. There should be a better way to manage permissions and users. It should also support external users much better."

"here are some limitations with the data models needed to build the report."

"Trend data and dashboards need improvement."

"The look is simple, and could be a little more professional."

"I believe Power BI could improve by making data tables and databases easier to handle, especially for non-programmers who may not be familiar with languages like Python. Simplifying these aspects would enhance the usability and accessibility of Power BI for a broader range of users."

"I would like for the next release to have better desktop performance, especially for big databases. Additionally, I would like to have more integrations with programs like Salesforce in order to get more live data coming in."

More Microsoft Power BI cons

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."

"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."

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

"Microsoft BI is not expensive. Compared to the price of other BI products, the price is very fair."

"The pricing is good. It's pretty competitive because I have worked on a few other tools as well, and Power BI is on the cheaper side."

"We're charged a monthly subscription fee of 500 rupees per person."

"Pricing is a big advantage that Power BI has over Tableau. Power BI is three or four times cheaper than Tableau. For my personal use, I will definitely prefer a $20 monthly fee of Power BI rather than a $70 monthly fee of Tableau. If you pay altogether for Power BI, they give you a discount, whereas, with Tableau, there is no discount. There are three versions of Power BI: Free, Pro, and Premium. The Premium version comes with a lot of things. There is no extra or hidden fee. You pay every month, and the software is with you. If you upgrade, there will be some extra charges."

"The Report Server is pretty expensive on-premise. But as long companies are happy to use the cloud version, that's very cost effective."

"Microsoft BI is very cost-effective and this is why we use it."

"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."

"We have a premium Power BI license in-house that's quite an expensive license. It's $10 a month for four users and then I think 35,000 at the premium rate."

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

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 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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Compared 8% of the time

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Compared 6% of the time

KNIME vs Microsoft Power BI

Compared 6% of the time

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Product Reports

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Anaconda

January 2025

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Buyer's Guide

Microsoft Power BI

January 2025

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Also Known As

No data available

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

Learn More

Anaconda

Microsoft

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

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.

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

January 2025

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