Power BI vs Power BI Embedded

Overview

Power BI

Stacks994

Followers946

Votes29

Power BI Embedded

Stacks65

Followers147

Votes0

Power BI vs Power BI Embedded: What are the differences?

Introduction:

Power BI and Power BI Embedded are two powerful tools developed by Microsoft for data visualization and analytics. While both tools have similar functionalities, they serve different purposes and have some key differences.

Licensing and Pricing: The major difference between Power BI and Power BI Embedded lies in their licensing and pricing models. Power BI is licensed per user or per capacity, where users pay a monthly fee for accessing and using the service. On the other hand, Power BI Embedded is licensed on an hourly basis, allowing developers to embed and integrate Power BI capabilities into their own applications and pay based on the usage.
Usage Scenarios: Power BI is primarily designed for individual or team-based data analysis and reporting. It provides end-users with the ability to create, publish, and share interactive dashboards and reports. In contrast, Power BI Embedded is aimed at developers and ISVs (Independent Software Vendors) who want to incorporate Power BI capabilities directly into their own applications or services. This allows them to offer embedded analytics to their customers without requiring separate Power BI licenses.
Embedding and Customization: Power BI enables users to embed dashboards and reports created in Power BI service into various external applications, portals, or websites. However, the level of customization and embedding options are limited compared to Power BI Embedded. Power BI Embedded provides more flexibility and control in embedding reports and dashboards as developers can fully customize the look and feel of the embedded content, integrate it seamlessly with their own application, and even control the user interactions and access.
Scaling and Performance: Power BI is suitable for small to medium-sized businesses or teams with its pre-defined capacities. Power BI Embedded, on the other hand, is designed to handle larger workloads and scale to meet the demands of enterprise-level applications. It offers more options for capacity management, allowing developers to provision dedicated resources and scale up or down based on the application's requirements to ensure optimal performance and reliability.
Data Security and Privacy: Both Power BI and Power BI Embedded provide robust security features to protect sensitive data. However, Power BI Embedded offers more granular control over data access and security. Developers can enforce custom security measures at the application level, such as controlling who can access embedded reports, masking sensitive data, or even implementing row-level security to restrict data access based on user roles or permissions.
Development and Maintenance Effort: Power BI is a cloud-based service that provides a user-friendly interface for creating and managing reports and dashboards. It requires minimal development effort and maintenance as most tasks can be performed through the Power BI service itself. In contrast, Power BI Embedded requires more development effort, as developers need to integrate and customize the embedded content within their own application. This includes managing the embedding code, handling authentication and authorization, and ensuring compatibility with future Power BI updates.

In summary, Power BI is a self-service business intelligence tool for individuals and teams, while Power BI Embedded is a developer-centric platform for embedding customizable analytics into applications or services. Power BI focuses on user-friendly data analysis, whereas Power BI Embedded prioritizes customization, scalability, and integration capabilities for developers.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Power BI, Power BI Embedded

Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k

Comments

Detailed Comparison

Power BI	Power BI Embedded
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.	Quickly and easily provide customer-facing reports, dashboards, and analytics in your own applications by using and branding it as your own. Reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.
Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data	API;SDK;Reports;Dashboards
Statistics
Stacks 994	Stacks 65
Followers 946	Followers 147
Votes 29	Votes 0
Pros & Cons
Pros 18 Cross-filtering 4 Database visualisation 2 Powerful Calculation Engine 2 Intuitive and complete internal ETL 2 Access from anywhere	No community feedback yet
Integrations
Microsoft Excel	JavaScript Microsoft SharePoint

What are some alternatives to Power BI, Power BI Embedded?

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Related Comparisons

Power BI vs Power BI Embedded: What are the differences?

Introduction:

Licensing and Pricing: The major difference between Power BI and Power BI Embedded lies in their licensing and pricing models. Power BI is licensed per user or per capacity, where users pay a monthly fee for accessing and using the service. On the other hand, Power BI Embedded is licensed on an hourly basis, allowing developers to embed and integrate Power BI capabilities into their own applications and pay based on the usage.
Usage Scenarios: Power BI is primarily designed for individual or team-based data analysis and reporting. It provides end-users with the ability to create, publish, and share interactive dashboards and reports. In contrast, Power BI Embedded is aimed at developers and ISVs (Independent Software Vendors) who want to incorporate Power BI capabilities directly into their own applications or services. This allows them to offer embedded analytics to their customers without requiring separate Power BI licenses.
Embedding and Customization: Power BI enables users to embed dashboards and reports created in Power BI service into various external applications, portals, or websites. However, the level of customization and embedding options are limited compared to Power BI Embedded. Power BI Embedded provides more flexibility and control in embedding reports and dashboards as developers can fully customize the look and feel of the embedded content, integrate it seamlessly with their own application, and even control the user interactions and access.
Scaling and Performance: Power BI is suitable for small to medium-sized businesses or teams with its pre-defined capacities. Power BI Embedded, on the other hand, is designed to handle larger workloads and scale to meet the demands of enterprise-level applications. It offers more options for capacity management, allowing developers to provision dedicated resources and scale up or down based on the application's requirements to ensure optimal performance and reliability.
Data Security and Privacy: Both Power BI and Power BI Embedded provide robust security features to protect sensitive data. However, Power BI Embedded offers more granular control over data access and security. Developers can enforce custom security measures at the application level, such as controlling who can access embedded reports, masking sensitive data, or even implementing row-level security to restrict data access based on user roles or permissions.
Development and Maintenance Effort: Power BI is a cloud-based service that provides a user-friendly interface for creating and managing reports and dashboards. It requires minimal development effort and maintenance as most tasks can be performed through the Power BI service itself. In contrast, Power BI Embedded requires more development effort, as developers need to integrate and customize the embedded content within their own application. This includes managing the embedding code, handling authentication and authorization, and ensuring compatibility with future Power BI updates.

Power BI vs Power BI Embedded

Overview