"Best fit for our use case" vs Metabase, Steep and Apache Superset
Chris McVittie
Chris and the team at ClearCourse Health were looking to build dashboards and reports for their health-tech SaaS application.
They decided to invest in a new semantic data layer, on which they would build their new customer-facing analytics solution.
It was important for Chris and his team to be able to retain control over the frontend experience for end users, whilst ensuring that it loads fast and provided robust security assurances.
The team explored multiple alternatives, including: Metabase, Steep and Apache Superset and concluded that Embeddable was the "best fit" for their use case of embedding analytics into their customer-facing application.
Chris and his team ultimately chose to work with Embeddable, stating that the three main factors which solidified their decision were:
ClearCourse became an early beta customer of Embeddable, and noted that whilst "there are some areas where the product could mature a bit on UI/UX", but praised the teams responsiveness and active approach to seeking feedback.
Chris and his team completed their proof-of-concept in June 2024 and have been using Embeddable for their customer-facing analytics ever since.
ClearCourse Health's Bespoke Analytics Experience
A global software provider for some of the worlds biggest healthcare providers, ClearCourse Health helps them to deliver more efficient and effective patient care through their secure cloud-based healthcare practice management software.
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