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Anaconda vs Microsoft Power BI comparison

 

Comparison Buyer's Guide

Executive Summary

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
18
Ranking in other categories
Data Science Platforms (11th)
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 21.6% mindshare, down 22.4% since last year.
Data Science Platforms
BI (Business Intelligence) Tools
 

Featured Reviews

Rohan Sharma - PeerSpot reviewer
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.
James Balbach - PeerSpot reviewer
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.

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 notebook feature is an improvement over RStudio."
"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."
"It helped us find find the optimal area for where our warehouse should be located."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"I can use Anaconda for non-heavy tasks."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"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."
"The fact that you can visualize items is great."
"We can see that it's really improved the way end users can do their own graphs and pick their own fields of information and present that in a nice way."
"It ingegrates nicely with Office 365."
"The amount of customization that you can do is good, and it's relatively straightforward to do."
"It's a very easy-to-use solution."
"Ability to extract data from a variety of sources and systems."
"It seems stable. I haven't heard of any difficulties from my clients that utilize Power BI."
 

Cons

"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda can't handle heavy workloads."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"When you install Anaconda for the first time, it's really difficult to update it."
"It also takes up a lot of space."
"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."
"They can improve the user interface a little bit to make it more user-friendly. When creating a dashboard, it is not very user-friendly. You have to click on a certain style and use your keyboard keys to move it. You cannot drag and drop it."
"Microsoft BI’s integration and visualization could be improved."
"When there are large amounts of data being processed there are additional tools needed to handle it."
"There's always room for improvement for Microsoft Power BI, especially for the UX and the menus to make it more accessible to business users."
"The maps in Power BI could be improved. You deal with many maps over the years, like maps of America and Saudi Arabia. The maps aren't detailed enough, and there aren't enough visualization tools. Whenever I want to use a map, I struggle with choosing the right visualization."
"Integration with artificial intelligence would help. Humans take time to review the data and eliminate errors. Artificial intelligence based on machine learning and understanding can bring the same functionality."
"The solution could use a faster speed on certain interactions and a refresh of the dashboards."
"Compared to other applications, like Tableau, Microsoft BI doesn't have as many functions that allow you to do more in-depth analysis and represent the findings."
 

Pricing and Cost Advice

"My company uses the free version of the tool. There is also a paid version of the tool available."
"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."
"The price of Microsoft BI is expensive. We found the price of Tableau to be less expensive."
"I'm not very familiar with the licensing aspect, as it operates in the cloud as a SaaS (Software as a Service) model. Essentially, you pay based on cloud cost models, which might include hourly rates or similar billing structures introduced by Microsoft. Many organizations utilize it and pay for its services, somewhat like Office 365. It's a cloud-based platform that provides the necessary services, including support, for development, and you pay accordingly for the usage."
"We are end-users, and we don't take care of the prices and accounting. We get a product and pay the fee to our internal service provider, but its price should be reasonable. Otherwise, they wouldn't have bought it."
"As far as I am aware you do not need a license for the solution."
"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."
"Regarding cost, the initial investment wasn't too high, but ongoing licensing could add up."
"The premium capacity is very costly in respect of the market in Egypt, amounting to $5,000 monthly."
"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."
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Comparison Review

it_user79932 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
9%
Manufacturing Company
8%
University
8%
Educational Organization
43%
Financial Services Firm
8%
Computer Software Company
6%
Government
5%
 

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.
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.
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.
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...
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...
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 ...
 

Comparisons

 

Also Known As

No data available
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
 

Overview

 

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
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