Schema Evolution publication categorizer

There is a new generation of databases specifically addressing Big Data Variety: Multi-model databases store and process structurally heterogeneous data, managing several data models in one integrated backend. Yet one of the many challenges these systems face is evolution management. In our demonstration, we present our prototype implementation of a tool called MM-evolver. MM-evolver carries out user-triggered schema modification operations over a multi-model database, and propagates them across all models.

During the development of NoSQL-backed software, the database schema evolves naturally alongside the application code. Especially in agile development, new application releases are deployed frequently. Eventually, decisions have to be made regarding the migration of versioned legacy data which is persisted in the cloud-hosted production database.