Multiple databases in same instance, single database recovery, fast rollback, reduce business downtime
Rich query statement, multiple query update mode
Strong consistency, make sure data reliability.
Suitable for financial scenarios.
Flexible data model
Scale-out as well as scale-up, dynamic add node, no bottleneck for performance and data volume
Complex data structure store (Log, Risk Control, Credit) High volume storage and elastic scalability (100TB~)
Hybrid object storage, cost saving Automatic data load to analytic platform
MongoDB documentation model supports various data structure storage: Time-series, Geo, Text and Binary, etc. Schema free provides fast support to new model. Scale-out, automatic sharding, transparent to application. Able to support massive number of sensors without any application modification.
Different/New generation products bring different sensor, create new data and function requirement, relational data is difficult to be merged, and iterate the data model.
The number of sensor explosively increases, leads to high data volume grows, only scale-up cannot meet the requirement.