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Anaconda Business 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 Business
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 Business 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Facilitates seamless data aggregation with some outdated visual elements hindering user appeal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 Visualization could be improved as it appears outdated.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 solution is stable."
"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."
"It helped us find find the optimal area for where our warehouse should be located."
"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."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."
"The most advantageous feature is the logic building."
"Power BI pricing is generally considered more affordable than Tableau."
"Power BI is a complete ecosystem. It has an integrated ETL tool and good connectivity with applications such as Office 365 and SQL. There are also solutions for RPA, such as Microsoft Power Automate and Microsoft Power Apps. Power BI now has integration with Power Query, which has an AI feature for text analytics. Text analytics is a very good feature. This feature is also there in Tableau, but I like it in Power BI because you can write something like, "What is the total sale in the Eastern region?", and it will give you the answer. For example, when you have different types of user opinions, you just run one algorithm and you will have the output that provides the number of positive and negative responses. You can even have a dashboard with positive remarks. This feature has been introduced recently. Power BI supports the DAX and Power Query M languages. These languages are making Power BI very strong in data analytics, and you can do many types of analysis."
"I also find connecting to different data sources is quite simple. Other solutions we were using before were complicated."
"It's similar to Excel, but it's much more powerful than Excel."
"The scalability overall has been quite good."
"Power BI allows you to create user defined charts which is really useful."
"It is a good platform for data analysis, organization, and all of the other interim performances that are necessary."
"The solution is easy to set up and implement."
 

Cons

"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."
"It also takes up a lot of space."
"Anaconda can't handle heavy workloads."
"Anaconda should be optimized for RAM consumption."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."
"Anaconda consumes a significant amount of processing memory when working on it."
"Microsoft has made a lot of progress with Power BI in the past couple of years, but there is still some room for improvement. For example, Integration is one area they could work on. They are adding more integration with other Microsoft tools, but I would like it if they sped up the process."
"Microsoft Power BI was born native on the cloud, however, it's quite difficult when it has to connect to on-premise data sources."
"The initial setup is a little bit technical."
"Powerpoints are not available in the report server."
"In the future, Microsoft BI can be better by increasing user-friendliness"
"It should be easier to use when there are multiple system sources."
"The limitations within Microsoft Power BI include the volume of data it can handle, as there's a cap on the number of rows you can keep. When you pull your data and build your models, you're restricted by this row limit. Additionally, certain SSRS features are deprecated, which can be a drawback for users who rely on those capabilities."
"If you have to pull multiple data sources performance is somewhat lacking."
 

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."
"The tool is open-source."
"The licensing costs for Anaconda are reasonable."
"My company uses the free version of the tool. There is also a paid version of the tool available."
"The product is open-source and free to use."
"No comment on pricing."
"Costs less than most competing solutions."
"They have a free Power BI Desktop version, but it has limitations."
"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."
"The price for this solution is reasonable. However, there is an additional cost if you want to publish the dashboard privately."
"All in all, for the price, this is an excellent tool for helping your organization turn mounds of data into useful insights."
"Microsoft BI is not expensive."
"I have not had a customer suggest the solution is too expensive. There are licenses to use the solution."
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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
8%
Manufacturing Company
8%
University
8%
Financial Services Firm
12%
Computer Software Company
9%
Government
9%
Manufacturing Company
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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