In the current economic climate, getting the maximum benefit of their Snowflake investment is crucial for data teams. As a data warehouse, Snowflake facilitates data storage and management in its cloud-based environment. However, cost optimization in Snowflake remains a major concern for data teams, who often spend a considerable amount of time manually looking for cost-saving methods every few months. The most commonly adopted cost-saving strategy is optimizing queries to process less data.
Enter Baselit, a platform designed to automate Snowflake optimization. It takes away the need for continuous manual effort to minimize Snowflake costs, thus providing data teams with an opportunity to focus on other important tasks.
Baselit functions by not only reducing the amount of data processing but also decreasing the computing power required to process the same quantity of data, exploiting Snowflake’s warehouse abstraction to achieve this. This allows you to take an extra step towards optimization. The computation of Snowflake’s storage costs utilizes rates usually set around $23 per TB per month and applies them to the average data usage snapshots taken hourly over a month. Baselit also provides an SQL query which, when run, calculates your potential savings from Snowflake.
Baselit operates basically through two main components: automated agents and an Autoscaler. Automated agents reduce the idle time of warehouses, optimizing cache and clustering. The Autoscaler, on the other hand, creates Service Level Agreement (SLA) based scaling strategies for multi-cluster warehouses to save costs and enhance performance.
Other additional features offered by Baselit for optimizing Snowflake costs include a ‘dbt optimizer’ that automatically selects the optimal size of dbt model’s warehouse through iterative testing; a ‘cost lineage’ giving a detailed breakdown of spending by teams, roles, and users, and an auto-generated recommendations analysis derived from Snowflake’s metadata.
In summary, optimizing Snowflake costs has become critical in steering a data-driven business environment to leverage Snowflake fully while ensuring a good profit margin. Baselit’s automated approach, combined with its in-depth cost insights, allows data teams to focus on their core strengths: making informed decisions based on the crucial insights drawn from data.
