Anaconda vs Microsoft Power BI comparison

The compared Anaconda and Microsoft solutions aren't in the same category. Anaconda is ranked #11 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 23.0% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

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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, Microsoft and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: November 2024).

Buyer's Guide

Data Science Platforms

November 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

Data Science Platforms

BI (Business Intelligence) Tools

Featured Reviews

AbakarAhmat

Software Engineer at a university with 10,001+ employees

Enhancing survey analysis that provides valued insightfulness

I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.

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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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Amol Rane

Solutions Architect M365 at Sogeti UK

Supports AI initiatives in terms of predictive analytics

The only issue is with permissions. Sometimes, despite granting granular permissions, dashboards are visible to people who shouldn't have access. It's difficult to understand why the permissions slip out. Sometimes dashboards are visible to stakeholders even though they should not have permission. It's a bit difficult to understand why the permissions slip out. The dashboards lack a user-friendly appearance, and the permissions should be easier to understand. At this point, we have to go through a lot of details. It takes a lot of time to understand the permissions, so if there were better options available within the Power BI setup, it would be quite beneficial, especially for admins. So, there should be a more user-friendly dashboard appearance and easier-to-understand permissions.

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 is a modeling tool with helpful automation."

"It has the ability to easily change any variable in our research."

"One feature I found very valuable was the analysis of variance (ANOVA)."

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."

"SPSS is quite robust and quicker in terms of providing you the output."

"It is perfectly adequate if all you need are the results and not the trail of evidence."

"The most valuable feature is its robust statistical analysis capabilities."

More IBM SPSS Statistics pros

"The solution is stable."

"The documentation is excellent and the solution has a very large and active community that supports it."

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

"The notebook feature is an improvement over RStudio."

"The virtual environment is very good."

"Voice Configuration and Environmental Management Capabilities are the most valuable features."

"I can use Anaconda for non-heavy tasks."

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

More Anaconda pros

"The ease of integration and connectivity stands out as the most critical aspect, followed closely by the flexibility to customize reports and dashboards."

"This solution has improved our ability in making decisions and explaining data."

"The product is user-friendly."

"The most valuable features in Microsoft BI are the analysis using the feature drag and drop function. It's very easy to load and use different data sources."

"The use of graphics to show and view the data indicators is the most valuable feature. It is also very stable."

"Management reporting solution that's very stable and scalable."

"The most valuable features are the flexibility, how many ways you can interrogate the data, and the the graphical visualization."

"The capability to add custom visuals and create Power BI apps. You can package datasets, synchronization details, and dashboards into a single app."

More Microsoft Power BI pros

Cons

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."

"The solution needs to improve forecasting using time series analysis."

"The statistics should be more self-explanatory with detailed automated reports."

"I think the visualization and charting should be changed and made easier and more effective."

"It could provide even more in the way of automation as there are many opportunities."

"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

More IBM SPSS Statistics cons

"The solution would benefit from offering more automation."

"It also takes up a lot of space."

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

"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."

"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."

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

"I think that the framework can be improved to make it easier for people to discover and use things on their own."

More Anaconda cons

"It has limited performance capabilities in terms of connecting to large transactional databases, but it is fine for simple and quick queries from Excel spreadsheets or one table. The premium level is going to be more applicable for the higher transaction-level databases."

"I feel the modeling page should be simplified."

"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."

"These licenses are in US dollars. With a long-term license, the client is unaffected when the exchange rate goes up. However, if the exchange rate goes down, you don't get refunded from the excess money you've paid. I guess that is a risk you take in business."

"It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it."

"If you are having millions of rows of data or you have a large database, Microsoft BI's performance depends upon how powerful your hardware is. When I am handling large amounts of data I do not use Microsoft BI or Tableau because of this, I use D3."

"The solution could benefit by allowing deeper data analytics."

"Its setup and support should be improved. We would like to see more material for developers that provides clear explanations about how we can do data mining by using Microsoft BI. It would also be good if we can connect a feature to other customized machine learning solutions."

More Microsoft Power BI cons

Pricing and Cost Advice

"The price of this solution is a little bit high, which was a problem for my company."

"More affordable training for new staff members."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"We think that IBM SPSS is expensive for this function."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"I rate the tool's pricing a five out of ten."

"The price of IBM SPSS Statistics could improve."

More IBM SPSS Statistics pricing and cost advice

"The tool is open-source."

"The product is open-source and free to use."

"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."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"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."

"Downloading Power BI Desktop is free."

"I used the tool's free version."

"The cost of licensing depends on the number of people that are going to be using the reports, and we are satisfied with it at $10 per user."

"It is free."

"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."

"Regarding cost, the initial investment wasn't too high, but ongoing licensing could add up."

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

More Microsoft Power BI pricing and cost advice

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Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

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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

17%

University

Computer Software Company

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

10%

Government

University

Educational Organization

41%

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 IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...

See all answers

What needs improvement with IBM SPSS Statistics?

IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...

See all answers

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using...

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, Ju...

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 improvem...

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 wou...

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 info...

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 ...

See all answers

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 14% of the time

Alteryx vs IBM SPSS Statistics

Compared 14% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

IBM Watson Studio vs IBM SPSS Statistics

Compared 2% of the time

More IBM SPSS Statistics Competitors

Databricks vs Anaconda

Compared 42% of the time

Amazon SageMaker vs Anaconda

Compared 11% of the time

Microsoft Azure Machine Learning Studio vs Anaconda

Compared 10% of the time

KNIME vs Anaconda

Compared 5% of the time

Domino Data Science Platform vs Anaconda

Compared 3% of the time

More Anaconda Competitors

Tableau vs Microsoft Power BI

Compared 17% of the time

Domo vs Microsoft Power BI

Compared 10% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 8% of the time

KNIME vs Microsoft Power BI

Compared 6% of the time

Databricks vs Microsoft Power BI

Compared 5% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

November 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Anaconda

November 2024

Download Anaconda product report

Buyer's Guide

Microsoft Power BI

November 2024

Download Microsoft Power BI product report

Also Known As

SPSS Statistics

No data available

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

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IBM

Anaconda

Microsoft

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

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

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

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

November 2024

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