Chartio vs Power BI Embedded

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Chartio
Chartio

44
30
+ 1
6
Power BI Embedded
Power BI Embedded

11
7
+ 1
0
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Chartio vs Power BI Embedded: What are the differences?

Developers describe Chartio as "A powerful Business Intelligence tool anyone can use". Chartio is a cloud-based business analytics solution on a mission to enable everyone within an organization to access, explore, transform and visualize their data. On the other hand, Power BI Embedded is detailed as "Embedded BI reporting engine for your application". 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.

Chartio and Power BI Embedded can be categorized as "Business Intelligence" tools.

Some of the features offered by Chartio are:

  • Direct connections to your data warehouse or database (Redshift, BigQuery, Snowflake, Postgres, MySQL and many more)
  • Intuitive drag-and-drop interface for data exploration with Visual SQL as well as direct SQL interface
  • Powerful data pipeline for data transformations

On the other hand, Power BI Embedded provides the following key features:

  • API
  • SDK
  • Reports

Mailgun, Chartio, and Indiegogo are some of the popular companies that use Chartio, whereas Power BI Embedded is used by Katana MRP, Business Logic, and Addepto. Chartio has a broader approval, being mentioned in 31 company stacks & 9 developers stacks; compared to Power BI Embedded, which is listed in 3 company stacks and 3 developer stacks.

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What is Chartio?

Chartio is a cloud-based business analytics solution on a mission to enable everyone within an organization to access, explore, transform and visualize their data.

What is Power BI Embedded?

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.
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