Build fast, customizable dashboards into your product. Learn how Hex helps teams embed analytics with less friction and better user experiences.

This post details Hex's approach to embedded analytics, focusing on how to build and integrate Hex applications into external products. It highlights features like signed embedding for secure, single-use URLs, row-level security for data privacy, and custom theming for brand consistency. The post also discusses leveraging AI for faster app development, promoting adoption through integration into existing workflows (wikis, CRMs, Slack), and the importance of version control and usage monitoring for iteration and optimization. It provides guidance on designing for performance by favoring SQL/no-code over Python, keeping cell counts low, scheduling runs, using query caching, and selecting appropriate compute profiles. The post also outlines key evaluation criteria for embedded analytics tools, emphasizing fast development, seamless and secure embedding, customization, and scalable pricing.