| With bigquery the cost is per query. If you do a "SELECT * FROM AAA" you'll pay whatever the size of the table AAA is, price being 5$ per TB. If you do a "SELECT field1, field2 FROM AAA" you'll pay only for the total size of field1 and field2 rows. So you usually want to use BigQuery in situations where you don't need to query data all the time, but rather a fixed number of times a day. Now about performance: BigQuery queues queries, so you don't have a guaranteed time. It can take a couple of seconds before your query starts running, it can take longer. If you need something that responds in < xxx ms, BigQuery is not it. But the queries themselves are fast. If you need to query across petabytes of data, as a simple BigQuery query will gladly run on however many dozens or hundreds of instances it needs, at no additional cost for you (since you only pay by the size of your data queried). It's really a great example of serverless. You can run your query across 100 instances, but you only use those instances for a few seconds. |