Would love to see how you’re doing warehouse optimization. Is there a demo video I can look at?

Yeah, kind of.

Though I'm not exactly sure how their product works, I saw from the landing page that it's broadly focused on query optimization.

We've done a lot of experimentation with query optimizations, both with and without LLMs, and we don't think it's possible to build a fully automated solution. However, a workflow solution might be feasible.

That resonates with what we have heard from our customers.

Our belief is that building a good optimization tool is not aligned with Snowflake's interests. Instead they seem to be more focused on enabling new use cases and workloads for their customers (their AI push, for example, with Cortex). On the other hand, helping Snowflake users cut down costs is our singular focus.

We are different from Keebo in the way we approach warehouse optimization. Keebo seems to dynamically change the size of a warehouse - we have found that to be somewhat risky, especially when it's downsizing. Performance can take a big hit in this case. So we've approached this problem in two ways:

1. Route queries to the right-sized warehouse instead of changing the size of a particular warehouse itself. This is part of our dbt optimizer module. This ensures that performance stays within acceptable limits while optimizing for costs.

2. Baselit's Autoscaler optimally manages the scaling out of a multi-cluster warehouse depending on the load, which is more cost effective than upsizing the warehouse.