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. As a novelty, MM-evolver supports both inter-and intra-model schema modification operators. To the best of our knowledge, ours is the first tool addressing evolution management in the world of multi-model databases.