Beneath is a full, transparent and stable data system in-a-box. Its aim is to make it as easy as possible to turn good ad-hoc data science into good data-driven products and services.
As data scientists and data engineers, we want to spend our time on the unique things – like developing models and creating an intuitive user experience for our insights. But all too often, our time is consumed by the increasingly complicated task of coordinating schemas, integrating data sources, and managing infrastructure.
Beneath bundles a variety of useful systems and features characteristic of modern data systems. These include systems for log streaming and replay, low-latency indexed lookups, and analytical data warehouse queries. And useful features for deriving new streams, running transformations, and sharing streams with partners or the public. Basically, it helps you to not reinvent the wheel every time you start a new data project.
Beneath is for any project that wants to deliver more data-driven features. It especially shines if: