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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

"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"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 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 documentation is excellent and the solution has a very large and active community that supports it."
"The most advantageous feature is the logic building."
"I can use Anaconda for non-heavy tasks."
"I have found the quick reporting and the conductivity with all the data sources valuable."
"Its connectivity with other Office applications, mostly with Excel, and the ability to deploy it very easily are the most valuable features. It comes sort of bundled with the cloud, so you don't need to set up a server and a standalone infrastructure. So, getting into the system or building something that you can deploy is very easy and very cheap. With other systems, you need to have a server, and you need to have a license for the server. The initial setup is very costly."
"We've used Microsoft BI for the general use cases around reporting and dashboarding."
"Reports, dashboards, and visualizations are most valuable."
"It is a good platform for data analysis, organization, and all of the other interim performances that are necessary."
"The fact that you can visualize items is great."
"Our setup is very straight forward and can be done in a matter of hours."
"Connectivity, installation, and configuration are pretty fast and seamless compared to Cognos."
 

Cons

"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"It also takes up a lot of space."
"When you install Anaconda for the first time, it's really difficult to update it."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"I would like to see a feature that connects with a Machine Learning platform like a RapidMiner or Azure Machine Learning Studio. It would be great to have a Machine Learning application link to connect."
"This solution is resource-heavy."
"One opportunity for improvement would be on the Power Query side. As a consultant, I know Power Query is not the main strength of Power BI. It is not where Power BI shines, but many customers use Power Query to do full ETL workloads for deliverable cookies."
"We have used other solutions and the reporting functionality should be user-friendly and have a drag and drop feature should be available, but Microsoft BI doesn't have these features. When you are creating reports and you can't change as a user. Every time you need one developer or one technical person to make the changes."
"It could have more of a hold on big data. Manipulating big data on this solution complicates things. This needs to be improved."
"There needs to be improved guidance and documentation for the initial setup of Power BI as it currently remains complex."
"I have found that some issues exist, indicating room for improvement in scalability."
"The dashboard could be simplified."
 

Pricing and Cost Advice

"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."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"I used a two months free trial to see if it had what I needed."
"Compared to what's available on the market, I think we pay a fair price."
"Microsoft BI is free for the personal edition, but there is also a paid-for professional version."
"Compared to others, I think it is reasonable."
"It is somewhere in the middle in terms of price. Licensing is quite clear."
"I have never worked on licensing, but I have heard that it is reasonable."
"Microsoft Power BI has reasonable pricing."
"Power BI's price is reasonable, especially if you can put it in some bigger package and use it with other products. The value of a solution doesn't just come from its features as a standalone product. The price should also reflect how easy it's to set up, clean data, and integrate with other solutions."
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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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