Thanks for the interest!
The core use case is simple: breaking the isolation of MUMPS.
A system running in MUMPS cannot live in a bubble. While MUMPS is phenomenal for high-speed core transactional logic, modern enterprise environments demand real-time communication with other technologies (modern UIs, BI tools, external ERPs, etc.).
Instead of relying on slow daily batch exports or forcing developers to learn new paradigms, this approach allows a MUMPS application to seamlessly communicate with the outside world in real-time, while fully utilizing native MUMPS syntax (via the `^SQLAPI` gateway).
We used PostgreSQL as our reference example for this Docker release, but the exact same architecture can just as easily connect to Oracle, SQL Server, or any other database. It's simply about empowering legacy systems to interact as first-class citizens in a modern tech stack.