Looker Studio vs Sisense

Struggling to choose between Looker Studio and Sisense? Both products offer unique advantages, making it a tough decision.

Looker Studio is a Business & Commerce solution with tags like data-analytics, dashboards, reports, data-visualization.

It boasts features such as Drag-and-drop interface to build dashboards, reports and apps, Prebuilt customizable visualizations (charts, tables, maps, etc.), Interactive data exploration with filtering, drilling, pivoting, Scheduled email reports and alerts, Embedding analytics into web and mobile apps, REST API and SDKs for integration, Granular access control and permissions, Git-based workflow for development and deployment and pros including Intuitive and easy to use, no coding required, Powerful analytics and visualizations, Scales to large data volumes, Flexible embedding and integration options, Collaboration features for data sharing.

On the other hand, Sisense is a Business & Commerce product tagged with analytics, dashboards, data-visualization.

Its standout features include Drag-and-drop interface for building dashboards, Connects to wide variety of data sources, Embedded advanced analytics like statistical, predictive modeling, etc, Interactive visualizations and dashboards, Collaboration tools to share insights across organization, Supports large and complex datasets, Customizable to specific business needs and workflows, Mobile and web access, and it shines with pros like Intuitive interface for non-technical users, Quick and easy data preparation, Powerful analytics capabilities, Great performance with large datasets, Flexible pricing options, Broad compatibility with data sources, Collaboration and sharing features.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Looker Studio

Looker Studio

Looker Studio is a business intelligence and data analytics platform that enables users to explore, visualize and share data through an intuitive web interface. It features drag-and-drop tools to build dashboards, reports and data applications quickly without coding.

Categories:
data-analytics dashboards reports data-visualization

Looker Studio Features

  1. Drag-and-drop interface to build dashboards, reports and apps
  2. Prebuilt customizable visualizations (charts, tables, maps, etc.)
  3. Interactive data exploration with filtering, drilling, pivoting
  4. Scheduled email reports and alerts
  5. Embedding analytics into web and mobile apps
  6. REST API and SDKs for integration
  7. Granular access control and permissions
  8. Git-based workflow for development and deployment

Pricing

  • Subscription-Based

Pros

Intuitive and easy to use, no coding required

Powerful analytics and visualizations

Scales to large data volumes

Flexible embedding and integration options

Collaboration features for data sharing

Cons

Can be expensive for larger deployments

Steep learning curve for advanced features

Limited customization compared to open-source BI tools


Sisense

Sisense

Sisense is a business intelligence and data analytics platform that provides tools for non-technical users to easily prepare, analyze and visualize complex data. It allows users to connect multiple data sources, build interactive dashboards and share insights across the organization.

Categories:
analytics dashboards data-visualization

Sisense Features

  1. Drag-and-drop interface for building dashboards
  2. Connects to wide variety of data sources
  3. Embedded advanced analytics like statistical, predictive modeling, etc
  4. Interactive visualizations and dashboards
  5. Collaboration tools to share insights across organization
  6. Supports large and complex datasets
  7. Customizable to specific business needs and workflows
  8. Mobile and web access

Pricing

  • Subscription-Based
  • Pay-As-You-Go
  • Custom Pricing

Pros

Intuitive interface for non-technical users

Quick and easy data preparation

Powerful analytics capabilities

Great performance with large datasets

Flexible pricing options

Broad compatibility with data sources

Collaboration and sharing features

Cons

Steep learning curve for advanced features

Limited customization options for dashboards

Requires additional licensing for some data connectors

Not ideal for small or simple datasets

Can be expensive for larger deployments