Power BI Embedded Analytics vs Sisense comparison

Power BI Embedded Analytics

Read 45 Sisense reviews

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Executive Summary

We performed a comparison between Power BI Embedded Analytics and Sisense based on real PeerSpot user reviews.

Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Power BI Embedded Analytics vs. Sisense Report (Updated: July 2026).

Power BI Embedded Analytics vs. Sisense

July 2026

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Helped 909,725 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

Power BI Embedded Analytics

Ranking in BI (Business Intelligence) Tools

30th

Ranking in Reporting

18th

Average Rating

9.0

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Sisense

Ranking in BI (Business Intelligence) Tools

13th

Ranking in Reporting

9th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Cloud Analytics (4th), Data Visualization (10th), Embedded BI (6th)

Featured Reviews

VishnuReddy2

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.

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Vishal Halbe

System Integration Specialist at a non-profit with self employed

Has improved project turnaround time with customizable dashboards and faster data delivery to stakeholders

Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.

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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

"What I appreciate most about Power BI Embedded Analytics is that it is tightly integrated with Microsoft, which is a strong feature."

"The positive impact Power BI Embedded Analytics has made in my organization is the gain of time, the sharing of the same data, and the same information for all the stakeholders, leading to better decisions."

"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."

"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."

"The client we have deployed this for is now able to easily make decisions based on the visualizations from this BI solution."

"Sisense positively impacts our organization by speeding up the process of getting and presenting the data to customers or stakeholders, which normally takes a lot of time due to curation and presentation efforts."

"Sisense also allowed us to achieve some less conventional projects like abstracting the effect of the price increases on our sales."

"It has allowed me to move my data to the cloud."

"Time to deployment was one of our most critical factors in choosing a BI vendor, and I am not sure you can get to deployment faster than Sisense."

"We found the ease of use to be our primary factor for choosing Sisense."

More Sisense pros

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."

"Sisense is not able to handle three-dimensional data."

"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."

"Sisense doesn't have connections with statistical packages like R, SAS, etc."

"Admins can't view all of the dashboards when needed; only dashboards that have been shared with the admins."

"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."

"Although its plugin support mitigates this, Sisense could use additional out-of-the-box visualizations."

"The application lacks a control of the exporting function."

"During the introductory training, our trainer wasn't able to accompany us on this subject and there is no return on experience from the community, probably because integration with R seems to be new."

More Sisense cons

Pricing and Cost Advice

Information not available

"Compared to Power BI or Tableau, Sisense is much more expensive."

"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."

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Top Industries

By visitors reading reviews

Computer Software Company

23%

Media Company

17%

Comms Service Provider

11%

Outsourcing Company

11%

Construction Company

13%

Financial Services Firm

11%

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	7
Large Enterprise	15

Questions from the Community

What needs improvement with Power BI Embedded Analytics?

Power BI Embedded Analytics is perfect right now as they continuously introduce new features, though it would be beneficial if they included an artificial intelligence assistant in the DAX syntax t...

What is your primary use case for Power BI Embedded Analytics?

My main use case for Power BI Embedded Analytics is that in my day-to-day work, I use Power Query to prepare data and Power BI Embedded Analytics Desktop, spending my time all day to create visuals...

What advice do you have for others considering Power BI Embedded Analytics?

An example of a decision our team made because of a Power BI Embedded Analytics report is when we decided to focus on selling a unique numeric product and avoid selling the physical product after u...

What needs improvement with Sisense?

So far, Sisense is performing well, but some visualizations lack flexibility in design options. Sisense should improve on handling extremely large data sets, and they should improve on maintaining ...

What is your primary use case for Sisense?

In our organization, we use Sisense for business intelligence where it helps us with complex data from multiple sources and provides excellent insights, which makes it easy for us to make data-driv...

What is your experience regarding pricing and costs for Sisense?

My experience with pricing, setup cost, and licensing has been positive, as the price is relatively affordable compared to other solutions, and I have no challenges with the pricing. The setup is s...

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Product Reports

BI (Business Intelligence) Tools

August 2026

Download Power BI Embedded Analytics product report

Download Sisense product report

July 2026

Overview

Power BI Embedded Analytics allows organizations to integrate interactive reports and dashboards into applications, enhancing data-driven decision-making. This tool enables seamless embedding of analytics, providing rich visualization capabilities for developers and users.

With Power BI Embedded Analytics, businesses can embed comprehensive analytics within custom solutions, offering tailored insights to meet specific demands. It supports an efficient data visualization process, making it easier to interpret complex data across industries. By embedding analytics directly into platforms, organizations can improve the user experience and leverage data to drive strategic decisions.

What are the key features of Power BI Embedded Analytics?

Interactive Reports: Create visually engaging and interactive reports that users can explore and analyze.
Custom Visuals: Utilize a library of custom visuals or develop unique ones to suit business needs.
API Integration: Seamlessly integrate with existing systems using robust APIs for smooth functionality.
Security and Compliance: Ensure data privacy and security with advanced compliance features.

What benefits should users look for in reviews of Power BI Embedded Analytics?

Enhanced Decision Making: Gain deeper insights quickly with real-time data analytics capabilities.
Improved User Satisfaction: Tailored and intuitive analytical tools can lead to higher engagement levels.
Scalability: Easily scale analytics features as business needs grow without significant infrastructure changes.
Cost Efficiency: Reduce overhead by leveraging existing tools and data within embedded analytics.

Power BI Embedded Analytics finds application in industries such as finance, healthcare, and retail, where data-driven insights can transform operations. In the financial sector, it aids in risk management and portfolio analysis. In healthcare, real-time analytics improve patient outcomes and operational efficiency, while retailers use it for inventory management and customer behavior analytics. This adaptability makes it a valuable asset across domains.

Microsoft

Sisense enables data visualization and analytics with ease of use and fast setup, effectively integrating different data sources for efficient decision-making.

Sisense provides an intuitive platform for companies to handle data visualization and advanced analytics without requiring extensive technical knowledge. Quick deployment, custom dashboard creation, and seamless embedding are supported by an API-first approach. It allows integration of data from multiple databases, enhancing speed through in-chip methodology and real-time updates. Users benefit from its ElastiCube Manager and reduced deployment time, contributing to data-driven decisions. Comprehensive documentation supports users in navigating potential challenges.

What are the key features of Sisense?

Ease of Use: Facilitates quick data visualizations without technical expertise.
ElastiCube Manager: Allows custom data management and dashboard creation.
API-First Approach: Enhances integration flexibility across databases.
Real-Time Updates: Ensures timely and accurate data insights.
In-Chip Methodology: Optimizes processing speed and performance.

What benefits should users expect from Sisense?

Reduced Deployment Time: Accelerates analytics implementation.
Data-Driven Decisions: Facilitates informed decisions with comprehensive insights.
Customer Support: Provides reliable assistance and documentation.

Sisense is commonly used across industries such as product development, sales, and marketing to deliver tailored analytics and dashboards for diverse departmental needs. Organizations leverage Sisense's capabilities for embedding analytics, optimizing financial models, and improving sales strategies. Its intuitive interface allows non-technical teams to efficiently handle and derive insights from large datasets.

Sample Customers

Information Not Available

Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo