what's the practical difference between google datastore nosql and google bigquery sql?
问题 I want to know how to evaluate one tool over another. My major concern is as following: In google datastore, we define 'kind'. Each 'entities' has 'properties'. Then the datastore backends use those properties to index data for future query. The query itself use almost the same idea in SQL, though different syntax, to filter data and find what we want. If you index every property, the index metadata would be even bigger than real data. Google bigquery uses it's dialect of SQL. And it's fully