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Power BI Embedded Analytics vs Tableau Enterprise 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

Power BI Embedded Analytics
Ranking in BI (Business Intelligence) Tools
28th
Ranking in Reporting
19th
Average Rating
9.0
Reviews Sentiment
3.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in BI (Business Intelligence) Tools
2nd
Ranking in Reporting
2nd
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
309
Ranking in other categories
Data Visualization (1st), Embedded BI (1st)
 

Featured Reviews

VishnuReddy2 - PeerSpot reviewer
Consulting Enterprise Architect at R2V2.ai
Embedded analytics has unified diverse data sources and supports real-time operational decisions
I find Power BI Embedded Analytics to be a fairly good reporting tool and dashboarding tool. The color palette and everything about it is good. It would be beneficial to have reporting on top of a data warehouse, a lake house, or directly on an Excel-based solution. If Power BI can come as a full stack similar to SAP Analytics Cloud, it can embed with Azure very quickly. However, the full suite provided by SAP, starting from ERP through reporting, is somewhat loosely coupled, which can be helpful for some clients. Overall, Power BI is a very good tool for reporting. Embedded analytics may lack some features from the modeling perspective, such as dimension modeling, and there are multiple factors that lead us to prefer analytics on top of the warehouse rather than going for embedded analytics.
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"What I appreciate most about Power BI Embedded Analytics is that it is tightly integrated with Microsoft, which is a strong feature."
"Best Visualization and analytics tool"
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"Our employees no longer have to search for information in many systems and/or use a web search; they can just go to the BI platform and do a lot of analysis by just clicking."
"Gradual scalability from simple to complex situations"
"We are using the solution to monitor data platforms, which helps us to make forecasts of the use, growth, and disk space."
"Tableau gave me the freedom to experiment with the hypothesis that I had."
"It is a nice visual and high performance all-in-one BI tool which is becoming more popular with its ease of use and user-friendly features, effective visuals and apt major functionalities of BI."
"Switching was the smartest business decision I ever made!"
 

Cons

"Embedded analytics may lack some features from the modeling perspective, such as dimension modeling, and there are multiple factors that lead us to prefer analytics on top of the warehouse rather than going for embedded analytics."
"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."
"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."
"Sales support when we were first engaged with them was minimal."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"If they want to be competitive in the market, the price must be improved."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
"The key feature of Tableau that has room for improvement is its performance with structured and unstructured data."
"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."
 

Pricing and Cost Advice

Information not available
"We always consider pricing when considering a new solution. We are a non-profit and price is a huge concern."
"It is a bit difficult for some people when they hear $70.00 per month, as some solutions are available for less than $10.00 or for free."
"I downloaded the solution online for free."
"This license is on a yearly basis."
"Tableau is a little cheaper as compared to Power BI and other technologies that we have used in the past. However, if the business users in our organization want to make presentations, Tableau has been asking us to purchase a Tableau Creator license, and $35 per month is expensive for business users. Power BI is giving a free desktop version for business users to connect to any data source and build their own dashboards. That's why we have proposed to use Power BI for most of the business users in our organization."
"Pricing could be better. I believe they should offer better pricing for deployment in small to mid-sized companies."
"Tableau has core-based and user-based licensing, and it is tied to scalability. The core-based licensing is about you buying a certain number of cores, and there is no restriction on the number of users who can use Tableau. The restriction is only on the number of cores. In user-based subscription licensing, there is a restriction on the number of users. Big companies and government organizations with a lot of users typically go for core-based licensing. User-based subscription licensing is a more common model. It has user roles such as creator, explorer, and viewer. A creator is someone who does the groundwork or development work. An explorer is someone who is into middle management but is not technically savvy, such as a category head. A viewer is like a typical decision-maker in senior management. For each role, Tableau is priced differently. The viewer role has the minimum price, and the creator role has the highest price. This pricing is available on their website. Everybody can see it."
"The solution is expensive but it depends on the customer's needs which will determine the cost of the licensing."
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
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
No data available
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
9%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

What needs improvement with Power BI Embedded Analytics?
I find Power BI Embedded Analytics to be a fairly good reporting tool and dashboarding tool. The color palette and everything about it is good. It would be beneficial to have reporting on top of a ...
What is your primary use case for Power BI Embedded Analytics?
I use Power BI Embedded Analytics for various purposes including reporting, dashboarding, supply chain management, daily management dashboards, and profitability analytics dashboards for finance. I...
What advice do you have for others considering Power BI Embedded Analytics?
I do use Power BI Embedded Analytics's custom visualization. Power BI Embedded Analytics helps consolidate data from multiple sources in my environment as we generally work with heterogeneous syste...
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 Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
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 been working on and off Tableau for about a year, but getting to work on it consta...
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. This relatively short amount of time can make all the difference for companies ...
 

Also Known As

No data available
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Information Not Available
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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