dotnet Report Builder vs Sisense

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

dotnet Report Builder is a Development solution with tags like opensource, reporting, net, customizable, data-sources, output-formats.

It boasts features such as Drag-and-drop report designer, Supports various data sources like SQL Server, Oracle, OData, Object, XML, Export reports to PDF, Excel, Word, HTML, CSV and Image formats, Rich visualization options including charts, maps, sparklines etc, Parameters, drill-down reports and sub-reports support, Localization and right-to-left language support, Open-source and available on GitHub and pros including User-friendly visual designer, Good data source and export format support, Lots of built-in report visualizations, Free and open-source, Active development community.

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.

dotnet Report Builder

dotnet Report Builder

dotnet Report Builder is an open-source reporting tool for .NET applications. It allows developers to easily create rich, customizable reports for web and desktop applications. The tool supports various data sources and output formats.

Categories:
opensource reporting net customizable data-sources output-formats

Dotnet Report Builder Features

  1. Drag-and-drop report designer
  2. Supports various data sources like SQL Server, Oracle, OData, Object, XML
  3. Export reports to PDF, Excel, Word, HTML, CSV and Image formats
  4. Rich visualization options including charts, maps, sparklines etc
  5. Parameters, drill-down reports and sub-reports support
  6. Localization and right-to-left language support
  7. Open-source and available on GitHub

Pricing

  • Open Source

Pros

User-friendly visual designer

Good data source and export format support

Lots of built-in report visualizations

Free and open-source

Active development community

Cons

Limited documentation

Steep learning curve

Not as feature rich as paid solutions like SSRS

Lacks enterprise-level support


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