COMPARISON

R vs Power BI

How do R and Power BI compare? And what does
Databrain offer?

Overview

R and Power BI Embedded Analytics are popular solutions known for their ability to seamlessly integrate analytics capabilities into applications using different methods. While both applications help you can capture the right data that helps you expand the business, there are certain downsides as well. While R requires a lot of manual data manipulation, knowledge of programming, yet provides extreme flexibility and customizations, Power BI Embedded Analytics is known for its bulky user interface and rigidity in customizations.

Why Databrain? Except you won’t face the same challenges with Databrain. Our single SDK solution embeds easily with any application and provides in-depth scheduled reports to help you make data driven decisions.

Understand why Databrain is an ideal embedded analytics solution for your business by exploring our detailed comparison guide on R Vs Power BI Embedded Analytics.

So what are these?

What is R Analytics?

R is a popular statistical analysis programming language preferred by data scientists, mathematicians and researchers. R offers a complete development platform and many operators for calculations, and data handling and storage facilities. It has many applications across complex data mining, analysis and data science.

What is Power BI Embedded Analytics?

Power BI Embedded Analytics is a solution that allows seamless integration of advanced analytics capabilities into applications, empowering users to embed interactive reports, dashboards, and data visualizations within their own software or websites.

R vs Power Bi vs Databrain

Ease of Setup

Installation of R or RStudio, and necessary packages. Need programming knowledge.

Simple, especially in MS ecosystem

Simple and Easy: 10 lines of code

Customer support

No official support. Community like online forums driven only.

Solid, depends on MS support plan

Round-the-clock CS 24 x 7

Time to Go-live

Depends on user expertise, requires extensive coding knowledge

Relatively fast

Ready in just one day

Chart options

Requires coding for high flexibility and wide range

Wide range, including custom visuals

Highly customizable UI Kit

Dashboard curation

Highly customizable, requires coding for pixel perfect design

User-friendly, high customization

Comprehensive & Extensive Curation

Chart customizations

Highly customizable, but requires coding

Extensive, includes custom visuals

Unlock Limitless Chart Customization

SDK Extensibility

Highly extensible and vast ecosystem of packages

Good for those familiar with MS

Powerful SDK: Built-in Extensibility

Security & data storage

Depends on the security of underlying DB

Comprehensive, aligns with MS cloud

No data stored

Multi-tenancy

Custom implementation needed

Supported, integrates with Azure AD

Deep multi-tenancy is available

Responsive & adaptable screen modes

Possible but complex with coding

Allows for responsive design, less intuitive

Built-In Flexibility

Embedding options

Strong integration with web technologies is possible via extensions

Varied, especially within MS ecosystem

Web components, SDK's in individual libraries

Built for SaaS

Not natively built for SaaS but can be integrated into SaaS

Available as SaaS, integrated with MS cloud

SaaS Optimised Solutions

How DataBrain helps?

Product & executive teams

Win more deals, unlock new revenue.

Make analytics & reporting your competitive advantage. Win more deals, increase customer satisfaction and unlocking more revenue. Keep your C-suite happy.