Snowflake supports interactive analytics at scale
By Andrew Fisher
| Feb 25, 2021
| snowflake, dataengineering
With a proliferation of massively parallel processing (MPP) database technologies, like Apache Pinot, Apache Druid, and ClickHouse, there are no shortage of blog posts on the Internet explaining how these technologies are the only ones capable of supporting interactive analytics on large data volumes. That is not the case. Benchmark tests on Snowflake’s platform with wide, denormalized datasets and concurrent query access patterns show that Snowflake offers reasonably fast query performance on large datasets when queried in an iterative, ad-hoc fashion.