Key/value (table), columnar, document and graph data models are all natively supported because of the ARS (atoms, records and sequences) design that Azure Cosmos DB is built on. Atoms, records, and sequences can be EASILY mapped and projected to various data models. The APIs for a subset of models are available RIGHT now (DocumentDB, MONGODB, Table, and Graph APIs) and others specific to additional data models will be available in the future.

Azure Cosmos DB has a schema agnostic indexing engine capable of automatically indexing all the data it ingests without requiring any schema or secondary indexes from the developer. The engine relies on a set of logical index layouts (inverted, columnar, tree) which decouple the storage layout from the index and query processing SUBSYSTEMS. Cosmos DB also has the ability to support a set of wire protocols and APIs in an extensible manner and translate them efficiently to the core data model (1) and the logical index layouts (2) making it uniquely capable of supporting multiple data models natively.

Key/value (table), columnar, document and graph data models are all natively supported because of the ARS (atoms, records and sequences) design that Azure Cosmos DB is built on. Atoms, records, and sequences can be easily mapped and projected to various data models. The APIs for a subset of models are available right now (DocumentDB, MongoDB, Table, and Graph APIs) and others specific to additional data models will be available in the future.

Azure Cosmos DB has a schema agnostic indexing engine capable of automatically indexing all the data it ingests without requiring any schema or secondary indexes from the developer. The engine relies on a set of logical index layouts (inverted, columnar, tree) which decouple the storage layout from the index and query processing subsystems. Cosmos DB also has the ability to support a set of wire protocols and APIs in an extensible manner and translate them efficiently to the core data model (1) and the logical index layouts (2) making it uniquely capable of supporting multiple data models natively.