DataWeek Conference + Expo

Many applications depend on diverse data structures that need to be stored and queried. Developers face a dilemma: they can shoehorn different kinds of data – such as relational, graph-structured, and semi-structured – into a single store, or they can incur the operational cost of provisioning and running multiple DBMSs and their associated technology stacks. This talk will explore a new approach for overcoming this dilemma: mapping multiple logical data models onto a single storage substrate - a transactional ordered key-value store. This approach provides the flexibility of polyglot persistence without its operational complexity. Databases that effectively support multiple data models can provide better options than more specialized solutions such as graph-based storage formats. In particular, multiple query/traversal patterns can be supported with the same physical representation.