COMPARISON

Looker Studio vs Power BI

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

Overview

Looker Embedded Analytics and Power BI Embedded Analytics are popular solutions known for their ability to seamlessly integrate analytics capabilities into applications. While both applications help you can capture the right data that helps you expand the business, there are certain downsides as well. While Looker Embedded Analytics fails to capture data directly from REST APIs, Power BI Embedded Analytics is known for its bulky user interface.

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 Looker Embedded Analytics Vs Power BI Embedded Analytics.

So what are these?

What is Looker Embedded Analytics?

Looker Embedded Analytics is a solution that seamlessly integrates analytics capabilities into applications, enabling users to embed interactive dashboards, reports, and visualizations within their own software or websites.

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.

Looker vs Power Bi vs Databrain

Ease of Setup

Complex setup and coding knowledge required

Simple, especially in MS ecosystem

Simple and Easy: 10 lines of code

Customer support

Strong support and community

Solid, depends on MS support plan

Round-the-clock CS 24 x 7

Time to Go-live

Longer due to data modeling phase

Relatively fast

Ready in Just one day

Chart options

Good range, less customization

Wide range, including custom visuals

Highly customizable UI Kit

Dashboard curation

Highly customizable, strong filtering

User-friendly, high customization

Comprehensive & Extensive Curation

Chart customizations

Decent, less detailed than Tableau

Extensive, includes custom visuals

Unlock Limitless Chart Customization

SDK Extensibility

Highly extensible and well-documented

Good for those familiar with MS

Powerful SDK: Built-in Extensibility and customizations

Security & data storage

Depends on the security of underlying DB

Comprehensive, aligns with MS cloud

No data stored

Multi-tenancy

Supported with user-specific access controls

Supported, integrates with Azure AD

Deep multi-tenancy is available

Responsive & adaptable screen modes

Supports responsive design, may not be as seamless

Allows for responsive design, less intuitive

Built-In Flexibility

Embedding options

Strong with 'Powered by Looker' feature

Varied, especially within MS ecosystem

Web components, SDK's in individual libraries

Built for SaaS

Primarily a SaaS platform

Available as SaaS, integrated with MS cloud

SaaS Optimised Solutions

Modeling Language

LookML Based (proprietary)

DAX, visual relationships

SQL, Python and Drag & drop

Data Relationships

Defined via LookML

Visual interface, manual/auto-detect

Low code, visual interface

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.