Looker Studio vs ChartExpo

Struggling to choose between Looker Studio and ChartExpo? 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, ChartExpo is a Office & Productivity product tagged with charts, graphs, dashboards, data-analysis, reporting.

Its standout features include Drag-and-drop interface to create charts/graphs, Supports connections to various data sources like Excel, CSV, SQL etc., Allows data blending from multiple sources, Has pre-built customizable chart templates, Interactive drill-down to view details from charts, Dashboard creation with multiple integrated charts, Export charts as images or PDF files, Schedule and email reports automatically, and it shines with pros like User-friendly and easy to use, Good for non-technical users, Fast and intuitive dashboard creation, Good customer support.

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


ChartExpo

ChartExpo

ChartExpo is a data visualization and dashboard software that allows users to create interactive charts, graphs, and dashboards for data analysis and reporting. It has drag-and-drop functionality, supports connections to various data sources, and allows data blending from multiple sources.

Categories:
charts graphs dashboards data-analysis reporting

ChartExpo Features

  1. Drag-and-drop interface to create charts/graphs
  2. Supports connections to various data sources like Excel, CSV, SQL etc.
  3. Allows data blending from multiple sources
  4. Has pre-built customizable chart templates
  5. Interactive drill-down to view details from charts
  6. Dashboard creation with multiple integrated charts
  7. Export charts as images or PDF files
  8. Schedule and email reports automatically

Pricing

  • Subscription-Based
  • Custom Pricing

Pros

User-friendly and easy to use

Good for non-technical users

Fast and intuitive dashboard creation

Good customer support

Cons

Limited advanced analytics and calculation features

Not suitable for large complex datasets

Lacks some complex visualization options