Snowflake’s advice on optimizing and saving money over the years has always suggested a lot of human involvement. Machine Learning and automation can make this cheaper and more effective.
Because Snowflake is a pay-as-you-go data cloud, and the main thing you are paying for is warehouse size, it pays to get the warehouse size right. You can try to do this on your own or enlist a fully-automated optimizer like Keebo to do it for you. Let’s discuss.
Here at Keebo, we are the only fully-automated Snowflake optimizer, so we talk to Snowflake customers every day. Most of them are keenly interested in saving money. Who wouldn’t be?
Hello, humans. If you are building a list of things to improve in 2024, don't forget your Snowflake warehouses. Five suggestions for you.
The Keebo engineering team is always working on new features and improvements. Our latest update to Keebo Warehouse Optimization for Snowflake brings you more security, privacy, and fine-grained control. Here are the highlights.
Snowflake Budgets are a good start, but an incomplete approach to controlling costs.
Keebo's automation comes with complete visibility and control, so you can be as hands-on as you like.
A Snowflake warehouse that is too small will cause all kinds of grief. Here’s how to detect and fix this problem and use AI to automate it all.
It’s incredible that in the LLM and GenAI era, we’re still approaching our database problems the same way we have been for the last 40 years: manual, expensive, one-query-at-a-time process.
The Keebo engineering team is always working on new features and improvements. Our latest update to Keebo Warehouse Optimization for Snowflake brings you more visibility and flexibility than ever before. Here are the highlights.
Looker PDTs are a nice tactic to improve dashboard speed and usability, but they are too costly to build and maintain. AI to the rescue!
Snowflake has good capability to optimize and reduce your bill–if you can find the time to learn and do it. Or you could offload this task to AI.