Redash vs SplashBI

Struggling to choose between Redash and SplashBI? Both products offer unique advantages, making it a tough decision.

Redash is a Ai Tools & Services solution with tags like data-visualization, business-intelligence, dashboards.

It boasts features such as Connect to data sources like PostgreSQL, MySQL, Redshift, Google BigQuery, etc., Write SQL queries and visualize results, Create interactive dashboards and charts, Schedule queries to refresh data automatically, Share dashboards and visualizations, Alerts and notifications, User management and access control, REST API and integrations and pros including Open source and free, Easy to set up and use, Support for many data sources, Powerful visualization capabilities, Collaboration features, REST API for integrations.

On the other hand, SplashBI is a Business & Commerce product tagged with dashboard, reporting, data-visualization, kpi, smb.

Its standout features include Cloud-based business intelligence and data visualization platform, Easy-to-use interface for building interactive dashboards, charts, reports, and KPI metrics, Connects to various data sources, including databases, spreadsheets, and cloud-based applications, Drag-and-drop functionality for creating visualizations, Customizable dashboards and reports, Collaboration and sharing features, Mobile-friendly design, and it shines with pros like Intuitive user interface for non-technical users, Affordable pricing options for small and medium businesses, Wide range of data connectors and visualization options, Collaborative features for team-based reporting, Mobile accessibility for on-the-go analysis.

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.

Redash

Redash

Redash is an open source business intelligence and data visualization tool. It allows you to connect to data sources like databases, query and visualize the data, and create interactive dashboards. Redash makes it easy to share insights with others.

Categories:
data-visualization business-intelligence dashboards

Redash Features

  1. Connect to data sources like PostgreSQL, MySQL, Redshift, Google BigQuery, etc.
  2. Write SQL queries and visualize results
  3. Create interactive dashboards and charts
  4. Schedule queries to refresh data automatically
  5. Share dashboards and visualizations
  6. Alerts and notifications
  7. User management and access control
  8. REST API and integrations

Pricing

  • Open Source
  • Self-Hosted

Pros

Open source and free

Easy to set up and use

Support for many data sources

Powerful visualization capabilities

Collaboration features

REST API for integrations

Cons

Limited chart types compared to some BI tools

Can be resource intensive for large datasets

Lacks some enterprise features like audit logs


SplashBI

SplashBI

SplashBI is a cloud-based business intelligence and data visualization platform aimed at small and medium businesses. It provides an easy-to-use interface for building interactive dashboards, charts, reports and KPI metrics.

Categories:
dashboard reporting data-visualization kpi smb

SplashBI Features

  1. Cloud-based business intelligence and data visualization platform
  2. Easy-to-use interface for building interactive dashboards, charts, reports, and KPI metrics
  3. Connects to various data sources, including databases, spreadsheets, and cloud-based applications
  4. Drag-and-drop functionality for creating visualizations
  5. Customizable dashboards and reports
  6. Collaboration and sharing features
  7. Mobile-friendly design

Pricing

  • Subscription-Based

Pros

Intuitive user interface for non-technical users

Affordable pricing options for small and medium businesses

Wide range of data connectors and visualization options

Collaborative features for team-based reporting

Mobile accessibility for on-the-go analysis

Cons

Limited customization options compared to enterprise-level BI tools

Potential performance issues with large data sets

Limited advanced analytical capabilities compared to more robust BI platforms