Key/cost (desk), columnar, file and graph records fashions are all natively supported due to the ARS (atoms, information and sequences) design that Azure Cosmos DB is constructed on. Atoms, information, and sequences may be without problems mapped and projected to diverse records fashions. The APIs for a subset of models are to be had proper now (DocumentDB, MongoDB, Table, and Graph APIs) and others specific to additional statistics models could be available inside the future.
Azure Cosmos DB has a schema agnostic indexing engine able to automatically indexing all the statistics it ingests without requiring any schema or secondary indexes from the developer. The engine is predicated on a set of logical index layouts (inverted, columnar, tree) which decouple the storage format from the index and question processing subsystems. Cosmos DB also has the ability to assist a fixed of wire protocols and APIs in an extensible manner and translate them efficaciously to the middle statistics model (1) and the logical index layouts (2) making it uniquely able to assisting multiple facts fashions natively.
