Rabbit Team | May 24, 2023
Since the announcement of pricing changes and the introduction of editions in Google Cloud’s BigQuery, companies with extensive workloads have been trying to figure out which edition best fits their use case. Since Google’s documentation still contains the legacy flex slot pricing parallel to the new one, it can be challenging to navigate the new pricing model.
We have heard reports about data teams spending weeks trying to comb through the documentation and make sense of the new pricing, trying to figure out where and how to start.
In this post, we provide key information about BigQuery Editions to help you navigate the new pricing model.
Let’s tackle the basics first: setting up a GCP project with Editions, understanding how this affects the performance as well as costs of your workloads, and deciding which projects to move to the new editions-based pricing and which ones to keep on on-demand. We’ll also cover how much reservation is needed and how much commitment should be done.
Here’s what you’ll need to know to understand how edition entities are related:
It could take weeks to collect the necessary data and information that will enable you to make informed decisions about all the above. Rabbit’s BigQuery Edition planner lets you create scenarios instantly, and gives you a calculation for performance and costs right away.
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