Bluesky Copilot For Snowflake Workload Optimization

Optimize Performance and Cost with Minimal Engineering Efforts

Maximize Your Snowflake Data Cloud's Efficiency

Performance Enhancement and Continuous Governance with Snowflake Copilot

Automated DBA tasks

Snowflake Copilot automates the workload optimization work traditionally done by DBAs, freeing up the central data platform team to focus on building data pipelines and other artifacts. This automation can help reduce costs and keep things tidy, resulting in a more efficient and effective use of resources.

Enhanced Performance

Snowflake Copilot identifies inefficient query patterns, recommends optimized solutions based on scenario testing, and implements approved fixes automatically, saving valuable developer time.

Continuous  Governance

Snowflake Copilot is capable of constantly identifying optimization possibilities at every level of the Snowflake data cloud environment, ranging from warehouses and data pipelines to individual queries and tables.

Hear from our Customers

“The tool gave us deep visibility into our Snowflake expenses in terms of query costs and warehouse credit usage”
Their feedback and insights identified immediate actions we can take to reduce our compute costs. The team at Bluesky is genuinely devoted towards aiding us in our optimization efforts, and has been straight forward and easy to work with throughout the process.
Chris Okorodudu
Tech Lead, Data Infrastructure
“We’re able to simultaneously reduce waste while improving the value we get from our data”
Bluesky’s continuous cost governance capabilities and actionable insights have helped us to cut costs and improve the performance of query workloads without any reduction in functionality.
Michael Li
VP of Data
“Valuable for SaaS products built on top of Snowflake”
Bluesky is able to break down our Snowflake spend based on our customers' workloads. This is extremely valuable for SaaS products built on top of Snowflake.
Bryan Shupe
CEO and Founder
“We are excited to continue developing our partnership with the Bluesky team and further tune our data cloud”
In the first few days of using Bluesky, we were able to identify a number of non-trivial ways of optimizing our Snowflake usage.
Marion Pavillet
Senior Analytics Engineer
“Bluesky Mission Control required less than 10 minutes of onboarding time, and provided visibility into our Snowflake usage and cost”
Bluesky identified areas of cost reduction and workload optimization. We plan to continuously use the SaaS product to monitor and keep our Snowflake workloads’ cost efficiency high.
Hallie Million
Head of Data
“Within hours of connecting Bluesky to our Snowflake deployment one of its recommendations reduced our compute expenses by more than 30%”
Bluesky has quickly become a trusted partner, always going above and beyond. We’re really looking forward to trying out the more advanced automation that Bluesky has planned.
Ross Serven
Data-Driven Technical Leader
“Now we can concentrate on building the future of SaaS apps and let Bluesky take care of what they’re best at.”
Adding Bluesky to our stack immediately improved our ability to see what was going on with costs and performance. Bluesky gives us insights that are easy to understand—like a priority ranked list of profiled queries with total hits and estimated credits—and clear actions we can take to tune queries or remove redundant workloads.
Shubhankar Srivastava
“If the Snowflake bill is keeping you awake at night, consider Bluesky!”
Snowflake is one of the main drivers in our COGS. Before Bluesky, we struggled to allocate time and effort to analyze and optimize the usage systematically. Bluesky solves this pain-point by introducing a complete feedback loop. It is effortless to get a report at the cost breakdown for different workloads, query patterns, and warehouses. The optimizations are data-driven, spot-on and straightforward to implement. The cost savings can be easily validated in the reports.
Feng Shao
VP Engineering
“An easy and collaborative production trial and adoption”
Bluesky was able to help identify and optimize costly queries, thus reducing our costs meaningfully.
Justin Zhang
Sr. Director of Engineering