Not quite timeseries related but what are some good query processing solutions that let you make uni-temporal queries without too much application code? For exa

Not quite timeseries related but what are some good query processing solutions that let you make uni-temporal queries without too much application code? For example: assuming a simple application that employs event-stream based storage. * New users filling up their profile - {'id': ,'name': ,'city': , ...} * Older users making updates to their profiles or even adding new fields - {'id': ,'city': }, {'id': , 'new_field': } Which database solutions make it easy to write queries like - "give me the profile information for id: X as of May 3rd 2018"? A document DB like Mongo definitely supports this but joining data across different streams doesn't seem quite straightforward as joining SQL tables. Thanks!