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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
19
Ranking in other categories
Data Science Platforms (11th)
Microsoft Power BI
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
321
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%, up 2.1% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 20.7% mindshare, down 21.9% 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.
Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal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 Visualization could be improved as it appears outdated.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.

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 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."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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."
"I can use Anaconda for non-heavy tasks."
"Microsoft BI allows us to connect to any database or any dataset."
"Its seamless integration with Microsoft products, such as Microsoft SQL Server or Microsoft Excel, is the most valuable."
"It is more user-friendly compared to SSRS."
"Like all Microsoft products, it is very easy to set up initially."
"Power BI stands out because it provides considerable flexibility in creating reports, dashboards, and various types of analytics to meet those dynamic requirements. It is lightweight and easy to use with good support."
"It's easy to create reports and it's easy to download the data from the corresponding report."
"This solution has improved our ability in making decisions and explaining data."
"It is stable enough. It has a lot of powerful functions. It can also be customized with the DAX language. It is also intuitive enough and incremental. You can start with something simple, and then step-by-step, you can increase the reports and dashboards according to your needs."
 

Cons

"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"When you install Anaconda for the first time, it's really difficult to update it."
"Anaconda should be optimized for RAM consumption."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"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."
"Anaconda can't handle heavy workloads."
"The Power Query feature needs to be improved to handle large amounts of data. This feature is also slow for large data transfers making it better to use some kind of script."
"I have found that some issues exist, indicating room for improvement in scalability."
"I would like to see more visualization options."
"The UI looks awkward once the graphs have been generated in the console. This is what Microsoft can work on."
"The look and feel should be updated in terms of the types of dashboards and graphs that you can produce. They aren't as visual as some of its competitors."
"It's quite difficult to learn how to use Power BI."
"Microsoft BI has its own challenges in terms of user interface and how quickly somebody can learn how to use it."
"I would like for there to be some type of user manual that shows steps on how to navigate the solution."
 

Pricing and Cost Advice

"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 product is open-source and free to use."
"The licensing costs for Anaconda are reasonable."
"The tool is open-source."
"Its cost seems to be unreasonable if you have many users, but for a lesser number of users, it is reasonable. It is $10 per month. Clients easily accept this option, so they must think it is reasonable. It is quite cheap as compared to other tools, such as Tableau. One of the best things about this solution is that it has a trial version."
"No comment on pricing."
"It is part of our Office 365 license."
"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."
"Downloading Power BI Desktop is free."
"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."
"Price is the best feature of Power BI! You get a lot of value for the price. If you know how to use it, it's a great BI solution for your money."
"It is somewhere in the middle in terms of price. Licensing is quite clear."
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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
19%
Computer Software Company
10%
Manufacturing Company
8%
University
7%
Educational Organization
14%
Financial Services Firm
11%
Computer Software Company
9%
Government
8%
 

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 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.
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.
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 ...
 

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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