Struggling to choose between Sentinel Visualizer and Visallo? Both products offer unique advantages, making it a tough decision.
Sentinel Visualizer is a Data Visualization solution with tags like data-visualization, dashboard, data-analysis.
It boasts features such as Drag-and-drop interface for building dashboards, Pre-built dashboard templates, Connects to various data sources like SQL, NoSQL, REST APIs, Visualize data with charts, maps, tables etc, Create interactive dashboards with filters, selectors etc, Collaboration tools to share and edit dashboards, Scheduled and automated dashboard refreshes, Export dashboards as PDFs, images etc and pros including Intuitive and easy to use, Great for non-technical users, Powerful visualization capabilities, Integrates with many data sources, Good collaboration features, Automation and scheduling, Good support and documentation.
On the other hand, Visallo is a Ai Tools & Services product tagged with data-visualization, investigations, relationship-analysis.
Its standout features include Link analysis visualization, Data ingestion from varied sources, Graph database for connected data, Collaboration tools, Customizable dashboards, Data import/export, Access controls, and it shines with pros like Open source and free, Powerful visualizations and analysis, Integrates varied data types, Good for investigations and intelligence, Customizable and extensible.
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.
Sentinel Visualizer is a data visualization and dashboarding software for creating interactive dashboards and data stories from complex data sets. It allows non-technical users to visualize data without coding.
Visallo is an open source data visualization and analysis platform used to visually connect data for investigations. It allows users to upload, integrate, and analyze varied data to see relationships and patterns, supporting many data types and visualization formats.