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Microsoft Power BI vs SAS Visual Analytics vs Tableau 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:
 

ROI

Sentiment score
7.9
Organizations achieved substantial ROI with Microsoft Power BI, finding it cost-effective, user-friendly, and beneficial for small teams.
Sentiment score
6.3
Organizations saw varied ROI from SAS Visual Analytics, noting improved efficiency and financial tracking despite initial cost challenges.
Sentiment score
7.1
Tableau provides fast ROI through efficient reporting, quick user adoption, and cost savings, outperforming many other BI tools.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
 

Customer Service

Sentiment score
6.7
Microsoft Power BI customer service is generally responsive and effective, but many users rely on online resources for solutions.
Sentiment score
6.8
SAS Visual Analytics customer service is mixed, with praise for technical support but noted gaps in business needs and regional availability.
Sentiment score
7.1
Tableau's support is praised for responsiveness, community resources, and Salesforce integration, despite occasional delay reports during peak times.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
They provide callbacks to ensure clarity and resolution of any queries.
They provide quick email and phone responses and have Thai-speaking personnel.
The technical support for Tableau is quite good.
I find Tableau's technical support to be good with elite support, but it struggles with usual, general support.
 

Scalability Issues

Sentiment score
7.0
Microsoft Power BI scales well for diverse organizations, but large datasets and costs may affect performance and scalability potential.
Sentiment score
7.8
SAS Visual Analytics effectively scales for large datasets and users, though high resource demands and expenses may concern some.
Sentiment score
6.7
Tableau offers scalable solutions for handling large data, supporting various organizations, though very large datasets may present challenges.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
 

Stability Issues

Sentiment score
7.5
Microsoft Power BI is reliable, with occasional issues on large datasets, generally viewed positively compared to similar products.
Sentiment score
7.1
SAS Visual Analytics is generally reliable but can face performance issues with large data, often due to user practices.
Sentiment score
7.3
Tableau is stable and reliable, excelling with simple data, but may slow with complex datasets; frequent updates enhance stability.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It's not a bad grade, as I know of better products in this field.
SAS Visual Analytics is stable and manages data effectively without crashing.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
 

Room For Improvement

Microsoft Power BI needs improved data integration, user-friendly features, enhanced visualizations, better mobile support, and clearer licensing options.
SAS Visual Analytics is complex and costly, with challenges in integration, performance, user-friendliness, and external language support.
Tableau requires improvements in data handling, integration, affordability, enterprise features, and advanced analytics to enhance user experience.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
 

Setup Cost

Microsoft Power BI provides flexible pricing with a free desktop version and paid options ideal for various enterprise needs.
SAS Visual Analytics is costly for small enterprises, but offers strong analytics and simplicity, though consulting and scaling add expenses.
Tableau's pricing is competitive but variable, supporting large enterprises better than smaller businesses, with limited bulk discounts.
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
The cost for viewer rights is around $60, but it can vary based on the business and is usually for a year.
 

Valuable Features

Microsoft Power BI offers robust data visualization, integration, and insights, enhancing decision-making with intuitive interfaces and extensive connectivity.
SAS Visual Analytics excels in data visualization, advanced analytics, and user-friendly interface with rapid processing and seamless integration.
Tableau offers powerful visualizations, easy integration, customization, geospatial support, and efficient data processing for real-time analytics.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
The solution makes it easy for me to develop reports and publish them.
The entire ETL process is easy and supports many databases, allowing data pipelines from multiple sources to be gathered in one place for visualization.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
 

Mindshare comparison

BI (Business Intelligence) Tools
Data Visualization
BI (Business Intelligence) Tools
 

Featured Reviews

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.
Renato Vazamin - PeerSpot reviewer
Single environment for multiple phases saves us time, and has good visualizations
We had that solution installed previously in another solution, Selvaya, but I don't think we used it at the time. We are now using SAS Detect Investigation as a complementary solution, in which we have part of the process, use a gene, SAS collects information and identifies some business situations, and the business guys use Visual Analytics to explore the results of the process. We previously used the FICO platform, but we switched because FICO's pricing was not scalable. Bringing more data or workloads to the platform required a significant investment in order to scale. We needed to change because we have a lot of data to process every day. FICO was also a little more complicated than SAS Visual Analytics.
Nattawat Choosuwan - PeerSpot reviewer
Real-time data connection enhances workflow and decision-making process
An area for improvement in Tableau is the Explorer license type. It is not as useful, and the product owner should enhance its benefits or clarify its role. Additionally, the frequent updates with many versions available for download can be confusing and could affect stability. They should avoid providing access to older versions on their website.
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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
Educational Organization
41%
Financial Services Firm
8%
Computer Software Company
6%
Government
5%
Financial Services Firm
21%
Government
12%
Computer Software Company
10%
University
8%
Educational Organization
43%
Financial Services Firm
10%
Computer Software Company
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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...
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...
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 ...
What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik ...
Tableau vs. Business Objects - Which is a better solution for visualization and analysis?
Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have be...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use....
 

Also Known As

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
SAS BI
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

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
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
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