Data storage issues for multiple data sources

Problem Description:
There are currently 2 data channels, such as channel A, channel B,
A, B channel data field such as a channel (1,2,3,4), channel (2,3,4);
The channel data is stored in a, B, respectively.
(channel data is used for statistical calculations, and the data will be traceable as the Channel party data is revised)
Current Requirements:
Channel side also gives c,d,e,f,g,h multiple channel data
These channel data fields are probably the same as the original fields of A/b channel, but there are different fields (that is, the data structure will vary)
A problem exists:
If you follow the current persistence scenario, create a data table that c,d,e,f,g,h multiple channel data
Have you considered MongoDB now and see what you have in mind? Does MongoDB support data aggregation statistics?

Reply content:

Problem Description:
There are currently 2 data channels, such as channel A, channel B,
A, B channel data field such as a channel (1,2,3,4), channel (2,3,4);
The channel data is stored in a, B, respectively.
(channel data is used for statistical calculations, and the data will be traceable as the Channel party data is revised)
Current Requirements:
Channel side also gives c,d,e,f,g,h multiple channel data
These channel data fields are probably the same as the original fields of A/b channel, but there are different fields (that is, the data structure will vary)
A problem exists:
If you follow the current persistence scenario, create a data table that c,d,e,f,g,h multiple channel data
Have you considered MongoDB now and see what you have in mind? Does MongoDB support data aggregation statistics?

Mongodb

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