Bluesky optimizes data cloud workloads to help enterprises get the most value from their data and drive the best business decisions. Bluesky’s co-pilot for workload optimization provides deep visibility on the drivers of costs, forecasts future costs, and delivers recommendations on optimizing their infrastructure for the best ROI. The platform provides deep query tools that drive more performant and efficient workloads, as well as monitoring and reporting to alert data cloud users of anomalies. The result is up to 30% cost savings with a 5X ROI, greater than 300% performance improvements, 20% productivity increases, allowing our customers to build more and tune less.
Hear more from customer case studies about how Bluesky copilots data workload
optimization success for enterprises and teams.
Bluesky enables data platform engineers and analysts to spend less time optimizing and more time on building. By continuously detecting optimization opportunities ranging from warehouse and storage configurations to specific queries and data models, Bluesky helps properly optimize your Data Cloud environment to manage cost as you scale viably.
Bluesky’s visibility and forecasting abilities help your data team understand historical areas of cost and inefficiencies while also projecting spending for future usage to reduce costs
Actionable insights, combined with continuous monitoring and alerting, can be quickly remediated to take the guesswork and manual efforts out of efficiency.
By identifying poor query patterns, Bluesky can provide recommendations for improving code quality and efficiency, and train SQL query writers to produce better code. This empowers data platform teams not just to support analysts, but focus on enabling them