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Piwik PRO vs Microsoft Power BI Comparison (2026)

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Good recommendations?

Piwik PRO

Microsoft Power BI

Overview

An analytics suite with a focus on user privacy and data security – the perfect alternative to Google Analytics.

Microsoft Power BI converts data into rich interactive visualizations, utilizing business analytics tools to share dashboard-based insights across all devices

Platforms supported

Web-based
iPhone app
Android app
Windows Phone app

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Customer support

Phone
Online
Knowledge base
Video tutorials

view more detailsview details

Platforms supported

Web-based
iPhone app
Android app
Windows Phone app

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Customer support

Phone
Online
Knowledge base
Video tutorials

view more detailsview details

Video & Screenshots

No videos yet

Pricing

Starting from

No pricing info

Free trial available
Credit cardless trial
Free account
Subscription based

Starting from

/user

Per month

Free trial available
Credit cardless trial
Free account
Subscription based

User reviews

4.6

Value for money

Ease of use

Features

Customer support

78%

would recommend this app

4.6

1.8K

1.1K

611

Value for money

Ease of use

Features

Customer support

81%

would recommend this app

Pros

“Needed technical help for the initial set up, so take some time to be confident with it.”

Katarzyna P.

data analyst

“Privacy is always first and there are a lot of options to protect user data.”

Daniel B.

Analytics Specialist

Pros

“As a Business Analyst, I appreciate its intuitive drag-and-drop interface, extensive visualization options, and seamless integration with Microsoft products such as Excel, SQL Server, Azure, and Teams.”

Gabriel I.

“It has been a good fit for scaling dashboards to many users, with stronger governance, distribution, and performance than a basic setup. Once the semantic model is properly designed and the refresh strategy is stable, it saves a significant amount of time compared to manual reporting and gives stakeholders reliable, consistent KPIs.”

Louis S.

CTO

“It's a great tool for tracking metrics from this information, which is valuable in a professional setting for analyzing the progress of a specific project or task, helping decide how to move forward and whether any adjustments are needed to correct certain data.”

Álvaro C.

Deploy Manager

Cons

We paid over $100k over two years and did not receive an enterprise-level partnership. When bot/AI traffic began polluting our data and inflating action counts beyond our tier, support acknowledged abnormal bot volume—but the guidance was mostly “segment it,” “read the docs,” and “mitigate at your CDN/WAF.”

Max B.

Head of Marketing

Cons

“Performance can also become an issue with large datasets; once your model grows beyond a certain size, you start hitting refresh timeouts and slow visual rendering unless you invest time in optimization(aggregations, composite models).”

Charumathi A.

Data Engineer

“Large models can consistently hit refresh timeout limits or memory constraints, which can lead to service interruptions when working on projects or testing current displays”

Nicholas B.

Actuary

“Advanced features such as DAX formulas and data modeling have a steep learning curve and can be difficult for beginners to master.”