Knowi vs Sisense

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

Knowi is a Business & Commerce solution with tags like data-visualization, dashboards, draganddrop, nocode.

It boasts features such as Drag-and-drop interface to build dashboards, Pre-built templates and visualizations, Real-time data connectivity, Collaboration tools to share dashboards, Mobile optimization and alerts, Natural language query, Embedded analytics and pros including Intuitive and easy to use, Great for non-technical users, Fast deployment, Scales to large data sets, Integrates well with multiple data sources, Strong visualization capabilities.

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

Its standout features include Drag-and-drop interface for building dashboards, Connects to wide variety of data sources, Embedded advanced analytics like statistical, predictive modeling, etc, Interactive visualizations and dashboards, Collaboration tools to share insights across organization, Supports large and complex datasets, Customizable to specific business needs and workflows, Mobile and web access, and it shines with pros like Intuitive interface for non-technical users, Quick and easy data preparation, Powerful analytics capabilities, Great performance with large datasets, Flexible pricing options, Broad compatibility with data sources, Collaboration and sharing features.

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.

Knowi

Knowi

Knowi is a business intelligence and analytics platform that allows users to easily visualize data and create interactive dashboards. It has drag-and-drop functionality to build reports and charts without coding.

Categories:
data-visualization dashboards draganddrop nocode

Knowi Features

  1. Drag-and-drop interface to build dashboards
  2. Pre-built templates and visualizations
  3. Real-time data connectivity
  4. Collaboration tools to share dashboards
  5. Mobile optimization and alerts
  6. Natural language query
  7. Embedded analytics

Pricing

  • Subscription-Based

Pros

Intuitive and easy to use

Great for non-technical users

Fast deployment

Scales to large data sets

Integrates well with multiple data sources

Strong visualization capabilities

Cons

Limited customization compared to open-source BI tools

Not as feature rich as some competitors

Can be pricey for larger deployments

Steep learning curve for advanced analysis

Relies heavily on pre-built templates


Sisense

Sisense

Sisense is a business intelligence and data analytics platform that provides tools for non-technical users to easily prepare, analyze and visualize complex data. It allows users to connect multiple data sources, build interactive dashboards and share insights across the organization.

Categories:
analytics dashboards data-visualization

Sisense Features

  1. Drag-and-drop interface for building dashboards
  2. Connects to wide variety of data sources
  3. Embedded advanced analytics like statistical, predictive modeling, etc
  4. Interactive visualizations and dashboards
  5. Collaboration tools to share insights across organization
  6. Supports large and complex datasets
  7. Customizable to specific business needs and workflows
  8. Mobile and web access

Pricing

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

Pros

Intuitive interface for non-technical users

Quick and easy data preparation

Powerful analytics capabilities

Great performance with large datasets

Flexible pricing options

Broad compatibility with data sources

Collaboration and sharing features

Cons

Steep learning curve for advanced features

Limited customization options for dashboards

Requires additional licensing for some data connectors

Not ideal for small or simple datasets

Can be expensive for larger deployments