SELECT at Data Council 2023
Ian and Niall share their learnings and best practices on Snowflake cost optimization in a 30-minute presentation at Data Council 2023.
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Lower your Snowflake spend
Gain visibility into costs, optimize performance and automatically save up to 40% on your Snowflake spend with the click of a button.
Want to see it in action first? Book a Demo.
- Lower Costs
SELECT automatically optimizes warehouse utilization and provides unprecedented visibility into account cost drivers, down to the workload level.
- Save Time
SELECT’s automatic cost savings, comprehensive alerting and fast cost exploration experience enables teams to focus on business impact.
- Optimize Performance
Created by Snowflake performance experts, SELECT provides recommendations to optimize query performance without increasing costs.
Simple pricing, for all Snowflake customers
We offer flat rate pricing tailored to your Snowflake usage. Chat with our team to learn how much we can save you.
Frequently asked questions
Anything we didn't cover below? Book a meeting with our team and we'd be happy to answer any other questions you have.
SELECT is a SaaS product that helps Snowflake customers lower their costs, save time, and optimize performance.
Snowflake savings will vary depending on a variety of factors relating to how Snowflake is being used at your company. With that said, SELECT customers typically see a minimum 25% reduction in costs, coming from a combination of automated savings and cost savings recommendations surfaced in the product. Request a free Snowflake savings estimate from our team to help with your decision.
Latest updates
Recent posts from our blog.
Insights from Niall on dbt Labs' Analytics Engineering Podcast
In the podcast, Niall shares practical insights and actionable steps that organizations can take to effectively manage and reduce their Snowflake costs.
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Identifying unused tables in Snowflake
Removing unused tables in your Snowflake account can reduce spend, increase security and improve overall warehouse usability. In this post, we show how to identify tables that have not been accessed recently.
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