Bitam Artus vs Microsoft Power BI comparison

Bitam and Microsoft are both solutions in the BI (Business Intelligence) Tools category. Bitam is ranked #47, while Microsoft is ranked #1 with an average rating of 8.4. Bitam holds a 0.5% mindshare in BIT, compared to Microsoft’s 7.4% mindshare. Additionally, 100% of Bitam users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

Bitam Artus

Read 1 Bitam Artus review

1,365 Views
996 Comparison Views

100% willing to recommend

Microsoft Power BI

Read 332 Microsoft Power BI reviews

36,430 Views
24,408 Comparison Views

93% willing to recommend

Bitam Artus

Microsoft Power BI

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Executive Summary

We performed a comparison between Bitam Artus and Microsoft Power BI based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Salesforce, SAP and others in BI (Business Intelligence) Tools.

To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: August 2026).

Buyer's Guide

BI (Business Intelligence) Tools

August 2026

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Helped 908,834 peers since 2012

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

Bitam Artus

Ranking in BI (Business Intelligence) Tools

47th

Average Rating

9.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Business Performance Management (32nd)

Microsoft Power BI

Ranking in BI (Business Intelligence) Tools

1st

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

332

Ranking in other categories

Reporting (1st)

Mindshare comparison

As of August 2026, in the BI (Business Intelligence) Tools category, the mindshare of Bitam Artus is 0.5%, up from 0.1% compared to the previous year. The mindshare of Microsoft Power BI is 7.4%, down from 20.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	7.4%
Bitam Artus	0.5%
Other	92.1%

BI (Business Intelligence) Tools

Featured Reviews

it_user202788

IT Manager at a manufacturing company with 501-1,000 employees

OLAP ad-hoc analysis is a valuable feature but the pricing needs to be improved.

Executive dashboards Easy design and publishing OLAP ad-hoc analysis It's allowed us to implement High Performance Work teams who periodically monitor KPIs, as well as improving the infrastructure and overall work methodology. Pricing needs to be brought down. I've used different versions over…

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Hemanthreddy Vakiti

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.

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Quotes from Members

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

Pros

"It's allowed us to implement High Performance Work teams who periodically monitor KPIs, as well as improving the infrastructure and overall work methodology."

"The good part of it is that you can do whatever you want with it when it comes to building BI. In terms of languages, it supports Python, and it also natively supports R."

"From a visualization perspective, Microsoft Power BI is really good and gives a lot of features, and the business users can understand very easily."

"We find Power BI is more direct, it is much easier to connect to other data sources and so forth."

"The main feature I find valuable is the possibility to work with an extensive amount of data."

"It's pretty easy to set up the product."

"The data manipulation and data cleaning tasks are handled in the backend by Power Query in Microsoft Power BI."

"Easy to use. End-users can make changes to the graphics."

"Constant collaboration is the most valuable. I can build a dashboard, and several co-workers can access this dashboard. We can share information that is important for decision-making. It is a very easy-to-deploy solution. It is compatible with a lot of data sources. It is also very stable and scalable. There is also a very good forum and a lot of help and online training."

More Microsoft Power BI pros

Cons

"Pricing needs to be brought down."

"The few things I mention below constitute very strong reasons why Microsoft has essentially abandoned the platform and why I agree with them."

"Power BI's administration could use some work, and the user experience needs to improve because it is a client-based tool. If you want to generate a model or report, you need to use client tools, but client tools are limited for end-users who don't have enough hardware. For example, maybe a client lacks enough memory or CPU power for report generators. If you use a model that requires a massive amount of data, your client will face several problems."

"Spatial data support should be enhanced."

"Microsoft Power BI was born native on the cloud, however, it's quite difficult when it has to connect to on-premise data sources."

"We have used other solutions and the reporting functionality should be user-friendly and have a drag and drop feature should be available, but Microsoft BI doesn't have these features. When you are creating reports and you can't change as a user. Every time you need one developer or one technical person to make the changes."

"They are improving it all the time. What would be nice is if they could respond to feature requests more quickly. They can provide faster support for new features."

"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."

"Things can slow down if you create too many pages."

More Microsoft Power BI cons

Pricing and Cost Advice

Information not available

"The pricing is very reasonable compared to any other tool."

"All of the licenses are on an annual basis, but Microsoft will amortize it to an extent. If it's five years, they'll include the possible interest they might have the following year. Ideally, their licensing scheme is an annual license, but they make it easier for some of our clients to take a five-year license but package everything inside for them to buy the license for five years."

"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."

"The price of Microsoft BI is expensive. We found the price of Tableau to be less expensive."

"It would be better if the price was cheaper."

"I rate the product pricing a ten."

"Power BI premium is really expensive for our market. A lot of small and medium companies would like to purchase it, but they can't afford it."

"The current licensing model that Microsoft BI has is expensive. My customers have told me the cost is approximately $20 per user and this can get expensive fast. There should be a one-time purchase option if the customer has a lot of users."

More Microsoft Power BI pricing and cost advice

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Comparison Review

it_user79932

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…

Read full review

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Construction Company

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	137
Midsize Enterprise	59
Large Enterprise	171

Questions from the Community

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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...

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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...

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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 ...

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Comparisons

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Compared 18% of the time

Oracle Planning and Budgeting Cloud vs Bitam Artus

Compared 16% of the time

ElegantJ BI vs Bitam Artus

Compared 15% of the time

UNIT4 prevero vs Bitam Artus

Compared 12% of the time

BetterWorks vs Bitam Artus

Compared 9% of the time

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Amazon QuickSight vs Microsoft Power BI

Compared 16% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 11% of the time

Domo vs Microsoft Power BI

Compared 6% of the time

QlikView vs Microsoft Power BI

Compared 2% of the time

IBM Cognos vs Microsoft Power BI

Compared 2% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

BI (Business Intelligence) Tools

August 2026

Download Bitam Artus product report

Buyer's Guide

Microsoft Power BI

July 2026

Download Microsoft Power BI product report

Also Known As

Artus

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

Overview

Bitam Artus is a powerful business intelligence platform designed to support data-driven decision-making. With capabilities tailored to enhance strategic planning, it effectively aids organizations in optimizing performance and achieving goals.

Providing comprehensive analytics tools, Bitam Artus seamlessly integrates with existing data systems to deliver insightful visualizations and detailed reports. Its flexibility allows for adaptation in dynamic business environments, ensuring that decision-makers have access to real-time data. The system empowers businesses by transforming raw data into actionable intelligence, thus driving growth and efficiency.

What are the valuable features of Bitam Artus?

Custom Dashboards: Provides customizable dashboards for tailored data visualization.
Real-Time Analytics: Offers real-time data processing and analysis capabilities.
Predictive Analysis: Utilizes advanced algorithms to forecast future trends.
Data Integration: Seamlessly integrates with multiple data sources for comprehensive analytics.

Which benefits should you review for ROI evaluation?

Increased Efficiency: Enhances productivity through streamlined data processes.
Enhanced Decision-Making: Improves strategic planning with actionable insights.
Cost Savings: Reduces operational costs with optimized resource allocation.
Scalability: Adapts to growing business needs without compromising performance.

Bitam Artus is implemented across industries like finance, healthcare, and retail, providing tailored solutions to meet sector-specific challenges. In finance, it aids in risk management and compliance reporting; in healthcare, it supports patient data analysis; and in retail, it enhances inventory and sales tracking. Its versatility makes it a valuable tool for diverse business applications.

Bitam

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.

Microsoft

Sample Customers

International Trucks, Arnecom, Lamosa, Black & Decker

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

BI (Business Intelligence) Tools

August 2026

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