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Snowflake and bigquery are database 2.0
What do you like best about the product?
JSON / XML parsing from s3 to nice relational tables. Stupendously easy to set up and get data in.
Cheap storage, plus standalone compute cost.
Provides a data layer where the policy can simply be, "Is it data? Then dump it into snowflake", which increases velocity in analytics, BI, diagnostics, and testing.
Cheap storage, plus standalone compute cost.
Provides a data layer where the policy can simply be, "Is it data? Then dump it into snowflake", which increases velocity in analytics, BI, diagnostics, and testing.
What do you dislike about the product?
Black-boxed indexes / projections.
It's both a blessing and a curse - new architecture gets built quickly, and query performance is generally solid, but some brain-dead obvious indexing doesn't persist in some cases, which can cause certain operations to be needlessly slow.
It's both a blessing and a curse - new architecture gets built quickly, and query performance is generally solid, but some brain-dead obvious indexing doesn't persist in some cases, which can cause certain operations to be needlessly slow.
What problems is the product solving and how is that benefiting you?
Data storage, JSON / XML / AVRO parsing and aggregation, business intelligence, data science. The main benefits for us have been in improving design velocity and overall data access throughout the company.
Recommendations to others considering the product:
There is no reason not to test it. It took us just a couple of hours using the tool for the light bulb to come on.
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