Language agnosticism is a key feature of tuplebase. Another is its runtime flexibility, which contrasts with most relational database implementations.

The power of a relational database is that the data it stores conforms to a rigorously defined structure. For a single piece of software it's always possible to find a single structure that supports all the work to be performed. As the nature of that work changes the database schema is evolved along with it. But this evolution must be coordinated so that all software that depends on the schema is updated to accommodate the changes, or virtual views are created to preserve a logical interface to the data.

Tuplebase takes a very different approach. Rather than enforcing a structure it allows any structure at all to be stored. Different pieces of software with overlapping concerns obviously must coordinate amongst themselves, but there's no requirement that there be any single authority managing everything. And because there's no mandated structure it's possible at runtime to treat multiple physical tuplebases as a single logical tuplebase, even if they contain data of different provenances. If the code using the data is written to be accommodating to the gradual migration of meaning then newer code can correctly interpret older data, and older code will ignore (but preserve) newer data.