Bluesky built cost guardrails to help cut Snowflake data spend

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Thats because its based on a consumption model where the more you use, the more you pay and when it comes to data management these days, that can add up pretty quickly.Bluesky, a new startup from a couple of ex-Google and Uber engineers, came up with a way to help reduce those bills, and today the company announced a healthy $8.8 million seed.Mingsheng Hong, Bluesky co-founder and CEO, who spent more than eight years at Google, says that Bluesky takes an organized approach to cost cutting. He jokingly referred to this step as the walk of shame because finally everyone knows how much youre spending.The idea is to delete workloads that are costing cash but dont add a lot of value.The second piece involves optimizing the remaining spend by finding what the most expensive workloads are and figuring out how to adjust them to reduce the overall cost. Once customers trust the software to do the job, it will constantly be scanning the workloads and searching for ways to cut costs automatically.You may think that Snowflake would be threatened by such a product, but Hong says the company is actually a partner. Hong launched the company with CTO Zheng Shao, who helped build the open source project Apache Hive, a SQL query engine built on top of Hadoop, an early way of dealing with large datasets.The company currently has 15 employees, and he is trying to build a diverse group right out of the gate. Its about people coming in with different ideas and perspectives, Hong said.Todays $8.8 million seed investment was led by Greylock with participation from several industry angels.

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Snowflake

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