QlikView vs Birst

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

QlikView is a Business & Commerce solution with tags like data-visualization, dashboards, analytics, reporting.

It boasts features such as 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 pros including 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.

On the other hand, Birst is a Business & Commerce product tagged with analytics, bi, business-intelligence, cloud, dashboards, data-visualization, data-warehousing, reporting.

Its standout features include Cloud-based BI and analytics platform, Data warehousing and ETL, Ad-hoc reporting and dashboards, Data visualization and discovery, Predictive analytics and machine learning, Pre-built connectors and templates, Mobile BI apps, Embedded BI capabilities, Collaboration tools, and it shines with pros like Intuitive drag-and-drop interface, Quick deployment with pre-built templates, Scalable cloud infrastructure, Real-time data analytics, Embedded BI simplifies distribution, Broad range of data connectivity, Strong visualization and dashboarding, Collaborative analytics.

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.

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)


Birst

Birst

Birst is a cloud-based business intelligence and analytics platform that helps organizations visualize and analyze data to gain insights. It offers data warehousing, reporting, and dashboards.

Categories:
analytics bi business-intelligence cloud dashboards data-visualization data-warehousing reporting

Birst Features

  1. Cloud-based BI and analytics platform
  2. Data warehousing and ETL
  3. Ad-hoc reporting and dashboards
  4. Data visualization and discovery
  5. Predictive analytics and machine learning
  6. Pre-built connectors and templates
  7. Mobile BI apps
  8. Embedded BI capabilities
  9. Collaboration tools

Pricing

  • Subscription-Based

Pros

Intuitive drag-and-drop interface

Quick deployment with pre-built templates

Scalable cloud infrastructure

Real-time data analytics

Embedded BI simplifies distribution

Broad range of data connectivity

Strong visualization and dashboarding

Collaborative analytics

Cons

Can be expensive for smaller businesses

Limited customization of some features

Less flexibility than open-source BI

Requires training for full utilization

Not ideal for complex data modeling