Requirement: Data Lake should have integration with an Enterprise Datawarehouse Platform which can provide low latency random.
BDB Response: Recommendation to have Enterprise Datawarehouse on MongoDB for low latency.
Requirement: Enterprise Datawarehouse should be effectively able to store aggregated data for reporting which is easily accessible for analysis through SQL based queries and seamlessly integrated with Business Intelligence tools.
BDB Response: Yes, MongoDB supports SQL based queries using Mongo DB BI connector and also supports MQL.
Requirement: Storage and Compute clusters should be decoupled with dedicated nodes for processing and storage of data.
BDB Response: Yes, Storage and Compute clusters will be decoupled with dedicated nodes for processing and storage of data.
Requirement: Data Platform should automatically scale with zero down time while provisioning new nodes.
BDB Response: Yes, BDB Platform automatically scales with zero down time while provisioning new nodes.
Requirement: Enterprise Datawarehouse should have the capability of store the data compressed format to save storage cost and disk space.
BDB Response: Yes, MongoDB has the capability to store the compressed format of data to save storage cost and disk space.
Requirement: Enterprise Datawarehouse should support building Data Modelling (Dimensional/relational, data vault) capabilities.
BDB Response: Yes, MongoDB supports building Data Modelling (Dimensional/relational, data vault) capabilities.
Last updated 1 year ago
