In this article, we are taking a closer look at two of the most popular embedded analytics solutions on the market – Reveal and Looker, to help you find the best tool for your needs.  

Choosing the wrong embedded analytics platform slows your roadmap, increases dev burden, and weakens the product experience. Many tools check feature boxes but fail on pricing models, embedding control, integration fit, and long-term scale.

Powered by two of the greatest analytics technologies, augmented analytics allows users to ask questions and automatically generate insights by exploring their data using conversational language.  

Modern analytics applications like embedded analytics solutions enable non-technical users to manage and work with data themselves by providing self-service and modern architecture capabilities. They deliver real-time reporting, interactive data visualizations, and advanced analytics capabilities including machine learning and AI directly into an enterprise business application. 

The best embedded analytics solutions offer a lot more than just data visualizations. We gathered a list of 7 embedded analytics features you need to keep in mind when choosing your embedded analytics vendor.