Redash vs Amazon QuickSight

Struggling to choose between Redash and Amazon QuickSight? 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, Amazon QuickSight is a Ai Tools & Services product tagged with data-visualization, adhoc-analysis, bi, cloud.

Its standout features include Fast, easy-to-use, cloud-powered business intelligence service, Rich set of visualizations and ability to drill down into data, Supports connecting to a wide variety of data sources, Built-in machine learning for anomaly detection and forecasting, Auto-SPICE natural language query, Embedded analytics capabilities, Collaboration features like sharing dashboards, and it shines with pros like Fast and easy to get started with BI, Scales to large data sets with good performance, Serverless - no infrastructure to manage, Broad data source connectivity, Embedded analytics and ML capabilities, Affordable pricing.

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


Amazon QuickSight

Amazon QuickSight

Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. It helps you build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

Categories:
data-visualization adhoc-analysis bi cloud

Amazon QuickSight Features

  1. Fast, easy-to-use, cloud-powered business intelligence service
  2. Rich set of visualizations and ability to drill down into data
  3. Supports connecting to a wide variety of data sources
  4. Built-in machine learning for anomaly detection and forecasting
  5. Auto-SPICE natural language query
  6. Embedded analytics capabilities
  7. Collaboration features like sharing dashboards

Pricing

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

Pros

Fast and easy to get started with BI

Scales to large data sets with good performance

Serverless - no infrastructure to manage

Broad data source connectivity

Embedded analytics and ML capabilities

Affordable pricing

Cons

Limited customization compared to open-source BI tools

Not as rich as feature set as some competitors

Limited data prep and ETL functionality

Lacks some complex analytics and ML capabilities