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Bluesky
Snowflake workload optimization and cost governance
- 1-20 employees
- B2B
- Enterprise
- Productivity
- Big data
- SaaS
- Automation
- Menlo Park, CA
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Company mission
To help customers drive healthy cloud consumption, providing more visibility and optimization into the efficiency of workloads. To allow its customers to derive the most value from their Snowflake Data Cloud usage.
105% employee growth in 12 months
Our take
Data-driven organizations are on the rise - as is the volume of data by which they’re driven, and many are turning to Snowflake to help manage this. The software’s sliding price scale, however, means operating costs can stack up fast. Bluesky is hoping to help organizations combat this by providing data cloud efficiency services. The idea is to make analytics and querying faster, and therefore cheaper, keeping cloud costs lean and complexity low.
It does this by trimming off practices that are costly but ineffective, then working out the inefficiency knots in the remaining high-performance but pricey ones. Ultimately, it hopes to develop a software that carries this out continuously and autonomously.
Interestingly enough, Bluesky doesn’t actually compete with Snowflake. The two are partners, with Snowflake funnelling customers over to Bluesky who provide a much-needed cost guardrail. Whilst Bluesky is just recently launched, it can expect this arrangement to drum up some substantial business: over two fifths of the Fortune 500 use Snowflake, and it’s growing fast in line with the pivot towards data-driven business. This neat symbiosis, in combination with Bluesky’s elegant product and strong first steps into the market, makes for some strong potential.
Steph
Company Specialist at Welcome to the Jungle
Benefits
- Top-tier health coverage
- 401(k)
- Unlimited PTO
Company values
- Diversity - We encourage diversity and inclusion of ideas and people, creating an all-inclusive workplace
- Passion - We turn our passion for big data, machine learning, and data clouds into game-changing products and solutions
- Collaboration - We empower every individual team member and treat each other as partners
- Innovation - We are constantly looking for and testing new ideas to make things better and smarter
Funding (1 round)
Sep 2022
$8.8m
SEED
Total funding: $8.8m
This company has top investors
Leadership
Mingsheng Hong
(CEO)Worked as a Field CTO at Vertica Systems, Chief Data Scientist at Hadapt, Tech Lead at Google, and then Head of Engineering for ML Runtime.