Amazon QuickSight vs QlikView

Struggling to choose between Amazon QuickSight and QlikView? Both products offer unique advantages, making it a tough decision.

Amazon QuickSight is a Ai Tools & Services solution with tags like data-visualization, adhoc-analysis, bi, cloud.

It boasts features such as 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 pros including 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.

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

Its standout features include Drag-and-drop interface for data modeling, In-memory associative analytics engine, Interactive dashboards and visualizations, Self-service BI capabilities, Data integration from multiple sources, Mobile BI support, Collaboration and sharing capabilities, Advanced security features, and it shines with pros like Powerful data visualization capabilities, Intuitive and easy to use, Fast in-memory performance, Flexible self-service BI, Scalability to large data volumes, Strong data integration features, Collaboration capabilities, Broad platform and device 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.

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


QlikView

QlikView

QlikView is a business intelligence and data visualization software that allows users to create interactive dashboards and data apps. It provides data integration, analytics, and reporting capabilities in a single platform.

Categories:
data-visualization dashboards analytics reporting

QlikView Features

  1. Drag-and-drop interface for data modeling
  2. In-memory associative analytics engine
  3. Interactive dashboards and visualizations
  4. Self-service BI capabilities
  5. Data integration from multiple sources
  6. Mobile BI support
  7. Collaboration and sharing capabilities
  8. Advanced security features

Pricing

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

Pros

Powerful data visualization capabilities

Intuitive and easy to use

Fast in-memory performance

Flexible self-service BI

Scalability to large data volumes

Strong data integration features

Collaboration capabilities

Broad platform and device support

Cons

Steep learning curve

Expensive licensing model

Scripting language can be complex

Limited advanced statistical/analytic functions

Less flexibility than open-source options

Dependency on proprietary file format (QVD)