Bluesky

Bluesky

Delivers next-gen data infra on clouds.

HQ location
Menlo Park, United States
Launch date
Employees
Enterprise value
$35—53m
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DateInvestorsAmountRound
-investor investor investor investor investor

€0.0

round
*

$8.8m

Seed
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD2023
Revenues0000
EBITDA0000
Profit0000
EV0000
EV / revenue00.0x
EV / EBITDA00.0x
R&D budget0000

Source: Dealroom estimates

More about Bluesky
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Bluesky is a startup that operates in the cloud computing market, specifically focusing on optimizing the usage of Snowflake, a cloud-based data warehousing platform. The company's primary clients are businesses that utilize Snowflake for their data management needs but lack the resources or expertise to maximize its cost-effectiveness and efficiency.

Bluesky's business model revolves around providing continuous workload governance and actionable insights to help clients cut costs and improve the performance of their query workloads. This is achieved by identifying resource-intensive configurations and frequently running queries that can be tuned for better performance. The company also helps clients avoid the time and effort of building and maintaining their own systems for tracking cost and performance metrics.

The startup makes money by charging clients for its services, which include not only the initial optimization of Snowflake usage but also ongoing governance to ensure continued efficiency. Bluesky's value proposition is that it allows clients' engineering teams to stay focused on business-critical projects, rather than having to dedicate resources to cost and efficiency initiatives.

In summary, Bluesky is a cloud computing startup that helps businesses optimize their use of the Snowflake data warehousing platform, thereby saving costs and improving efficiency. The company operates in a growing market and has a business model that provides ongoing value to its clients.

Keywords: Cloud Computing, Snowflake, Data Management, Workload Governance, Cost Optimization, Efficiency Improvement, Business-Critical Projects, Resource Allocation, Continuous Service, Data Warehousing.

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