COMPARISON

Looker Studio vs Tableau

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

Overview

Looker Embedded Analytics and Tableau Embedded Analytics are robust solutions for seamlessly integrating analytics capabilities into applications. Integration is efficient, enabling businesses to swiftly incorporate advanced analytics. Both applications help you track crucial metrics in one place, however the former is known for hampering the user experience as it gives no control over embedded analytics in your app. Whereas, the latter fails to scale as per the growing organizational needs.

Why Databrain? But this changes with Databrain. This single SDK solution helps you gain deeper insights on how your business is performing and even identify crucial trends. What’s more, it offers features like scheduled reports, role-based access and more that can scale as your business grows.

Get a deeper understanding on why Databrain is the right choice for your business by taking a look at detailed comparison between Looker Embedded Analytics and Tableau 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 Tableau Embedded Analytics?

Tableau Embedded Analytics is a solution that seamlessly integrates analytics capabilities into applications, allowing users to incorporate powerful data visualization and analysis functionalities directly within their own software or websites.

Looker vs Tableau vs Databrain

Ease of Setup

Complex due to model-driven architecture

Moderate, requires some expertise

Simple and Easy: 10 lines of code

Customer support

Strong support and community

Excellent, large community

Round-the-clock CS 24 x 7

Time to Go-live

Longer due to data modeling phase

Quick for simple implementations

Ready in Just one day

Chart options

Good range, less customization

Wide range, highly customizable

Highly customizable UI Kit

Dashboard curation

Highly customizable, strong filtering

Advanced, high interactivity

Comprehensive & Extensive Curation

Chart customizations

Decent, less detailed than Tableau

Extensive control over visuals

Unlock Limitless Chart Customization

SDK Extensibility

Highly extensible and well-documented

Robust, requires programming knowledge

Powerful SDK: Built-in Extensibility

Security & data storage

Depends on the security of underlying DB

Robust, allows live connections & storage

No data stored

Multi-tenancy

Supported with user-specific access controls

Supported, requires careful management

Deep multi-tenancy is available

Responsive & adaptable screen modes

Supports responsive design, may not be as seamless

Strong, adapts to different screen sizes

Built-In Flexibility

Embedding options

Strong with 'Powered by Looker' feature

Robust, wide range of options

Web components, SDK's in individual libraries

Built for SaaS

Primarily a SaaS platform

Available as SaaS & on-premises

SaaS Optimised Solutions

Modeling Language

LookML

No specific language, uses drag-and-drop

SQL, Python and drag-and-drop

Data Governance

Strong, centralized

Limited governance, user-created fields can lead to inconsistencies

Strong, centralized via data marts and RLS

Reusability

High, models can be reused across reports

Lower, models are often created individually

Medium, reusability via data marts and custom functions

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.