I am creating an application which aims to create forecast models based on simulated meteorological data, taken at 24 hour intervals from each of the 500 (simulated) sensors. Data is made of nested (multi-level) fields. Since I expect to deal with a great amount of data to analyze in the future (data coming from 500 sensors every 24 hours), what I am looking for is a performing and scalable solution and, obviously, a great storage.

At the beginning I was thinking to choose MongoDB as my database solution (since it s a document-based database), but, many people suggested me to take a look at Google BigTable. So I started to take a look at Google BigTable but I was wondering if it can work well with multi-level nested data too...

Which solution you would adopt ?

Do you guys suggest me to adopt BigTable over MongoDB ?

Thanks in advance

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