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Ivanti Xtraction 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

Ivanti Xtraction
Ranking in BI (Business Intelligence) Tools
71st
Average Rating
9.0
Reviews Sentiment
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Microsoft Power BI
Ranking in BI (Business Intelligence) Tools
1st
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
331
Ranking in other categories
Reporting (1st)
 

Mindshare comparison

As of May 2026, in the BI (Business Intelligence) Tools category, the mindshare of Ivanti Xtraction is 0.4%, up from 0.1% compared to the previous year. The mindshare of Microsoft Power BI is 8.1%, down from 21.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Microsoft Power BI8.1%
Ivanti Xtraction0.4%
Other91.5%
BI (Business Intelligence) Tools
 

Featured Reviews

Chris Reece - PeerSpot reviewer
Manager, Application Support at a university with 1,001-5,000 employees
Can build reports easily and offers unlimited view access of them in a single dashboard
Ivanti Xtraction provides reports in a single dashboard. We can ask the executive leadership to review it. It has unlimited view access. You can view the reports but won't be able to edit them. The solution makes it easy to build reports and send them. It has filters, and you can filter the results based on time, date, etc. The view will go back to normal once refreshed.
Hemanthreddy Vakiti - PeerSpot reviewer
Data engineer at a tech vendor with 10,001+ employees
Interactive dashboards have transformed restaurant data into faster daily business decisions
Microsoft Power BI has many features and there is not a lot to improve. However, the licensing can be confusing. When deciding between Pro and Premium, I find it difficult to distinguish what features are offered by Pro and what features are offered by Premium, including the particular differences to choose between both licensing models. Additionally, some features such as DAX, which I mentioned previously, involve DAX calculations and complex data modeling, which are somewhat advanced and not easily understandable. Prior knowledge is required or you need to go through the documentation. If the documentation is made comprehensive so that anyone with no knowledge on DAX can easily use it by going through the documentation, it would be really helpful. Additionally, if the integration with non-Microsoft tools is improved and performance is optimized, then Microsoft Power BI can become a top-ranked visualization tool. The user experience with Microsoft Power BI is quite good. The intuitive user interface makes it easy for both technical and non-technical users to create reports. However, only the advanced features are somewhat complex, and if the documentation is improved, it can be easily accessible.

Quotes from Members

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

Pros

"Ivanti Xtraction provides reports in a single dashboard. We can ask the executive leadership to review it. It has unlimited view access. You can view the reports but won't be able to edit them. The solution makes it easy to build reports and send them. It has filters, and you can filter the results based on time, date, etc. The view will go back to normal once refreshed."
"It integrates better with other Microsoft products. It is very easy to use and has very powerful visualizations. It has also got a lot of development going on."
"The most effective feature of Microsoft Power BI for data analysis is the ability to use Power Query directly from Excel. Power BI's integration capabilities impacted our data management by allowing us to push all reporting down to the end user, giving them the capability to perform "what if" scenarios and discover and validate their own data without needing to refer to IT. Additionally, it provided insights that we couldn't get from Oracle Cloud. We wrote an extract routine to transfer our Oracle Cloud database to Power BI, which was a game changer in terms of giving people confidence in the finances."
"The data manipulation and data cleaning tasks are handled in the backend by Power Query in Microsoft Power BI."
"Power BI is a complete ecosystem; it has an integrated ETL tool and good connectivity with applications such as Office 365 and SQL, and there are also solutions for RPA, such as Microsoft Power Automate and Microsoft Power Apps."
"My primary use case is for the performance, compared to MS Dynamics NAV, and flexibility in data and dashboard building."
"It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation. Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution. Their technical support is very good. They are extremely responsive, helpful, and hands-on."
"Constant collaboration is the most valuable, I can build a dashboard, and several co-workers can access this dashboard, and we can share information that is important for decision-making."
"It integrates with all of the Microsoft tools."
 

Cons

"The tool's graphics need to be updated."
"Power BI could have better metadata management. It's easy to use for a single person. However, it lacks an enterprise-grade metadata management system, which can be a problem if you're doing an enterprise deployment with multiple users."
"Monitoring features: I need Microsoft to provide a set of tools to help me monitor Microsoft's products."
"I would like to have the capability to schedule exports in different versions."
"When there are large amounts of data being processed there are additional tools needed to handle it."
"The integration with other solutions could be improved for reporting aspects."
"I would like to see more AI capabilities in future releases. There's a strong interest in AI, including technologies like GPT, which facilitate real-time interactions."
"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."
"When you try to process a lot of data from one million records, it breaks. The computer runs out of CPU and memory."
 

Pricing and Cost Advice

Information not available
"The premium licensing is approximately $5,000 per month which is pretty expensive."
"We have enterprise licenses and some of the other tools or features come as a package and others you have to purchase separately."
"Microsoft BI is not expensive."
"Licensing fees are paid on a yearly basis."
"Power BI is subscription-based, and you have three options. The Pro edition, which is the standard one, is about $9 per user. The Premium edition, which provides AI and cloud capabilities but at a limited size, is for small to medium enterprises. It is about $20 per user. For large enterprises, such as manufacturing facilities, there is an option for the capacity. The capacity subscription is about $4,000 per capacity level. They also have an option for the on-premises version, but it is not common to see someone going for the on-premises version. The on-premises version requires a specific license that is attached to SQL Server. I believe it is about $17,000, but I'm not sure about it."
"Microsoft BI is not very cheap. A premium license costs roughly 5,000 euros a month."
"The licensing can be complicated."
"We pay on a monthly basis which is approximately $10 per user on the Microsoft Power BI Pro license. At the moment we are still down at 400 users, but once we reach 500 users, we will move to the premium edition. The premium is $5,000 for unlimited users. Currently, with the 40 users, the cost is roughly $500."
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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
13%
Manufacturing Company
8%
Government
8%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business136
Midsize Enterprise59
Large Enterprise171
 

Questions from the Community

Ask a question
Earn 20 points
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

No data available
 

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

Information Not Available
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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