Abstract
During the development of NoSQL-backed software, the database schema evolves alongside the application code. Especially
in agile development, new application releases are frequently deployed. This leads to heterogeneous data in the database
and thus to new challenges for application development. To handle such heterogeneous data, we have developed various
algorithms, implemented and evaluated them in a data platform for schema evolution management and data migration called
Darwin. We provide an overview of Darwin, the concepts, algorithms, their implementations and the possible usage of Darwin
in this paper.