Snowflake Query Optimization: 7 Tips for Faster Queries
A deep dive into 7 fundamental tips for Snowflake query optimization: pruning, join optimization, clustering, cache, and more for faster queries.
Kyle Cheung
optimization for you, you, you, you, and you
Cut Costs by Querying Snowflake Tables in DuckDB with Apache Arrow
Greybeam's multi-query-engine dream is slowly becoming a reality. Lately, we've been encountering more and more data teams who are looking to offload non-critical workloads to alternative compute engines like
Querying Snowflake Managed Iceberg Tables with DuckDB
Welcome to part two in our series of working with Iceberg tables. If you haven't already setup your Snowflake managed Iceberg tables, be sure to check out part one in our
How to Get Started with Iceberg Tables in Snowflake
At Greybeam, we're constantly exploring ways to optimize Snowflake, and I'm so thrilled that our journey led us to Iceberg and DuckDB. In this post, we'll cover
ASOF JOINs in Snowflake: 100x Performance on Time-Relative Joins
ASOF JOINs are the most efficient way to relate the timestamp of one table with the timestamp of another table, even when those timestamps don't match exactly.
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