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Deephaven

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Deephaven – A Time Series Data Platform that Delivers

Plymouth, United StatesFounded 2015Other B2B Software
Revenue $1–10M Latest reported FY
Headcount <100 Current team size
Total funding $10–50M Disclosed equity funding
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About Deephaven

Deephaven.io operates in the data analytics and software development market, providing an open-core query engine designed for building applications and performing analytics on real-time and batch data streams. The company serves a diverse range of clients, including financial institutions, tech companies, and IoT (Internet of Things) providers, who require robust data processing capabilities. Deephaven's business model revolves around offering a powerful, flexible platform that integrates seamlessly with popular data ingestion tools like Kafka and Parquet. The company generates revenue through a combination of open-source software offerings and premium services, such as advanced features, support, and custom development solutions. By enabling users to filter, sort, and perform time series joins on both dynamic and static tables, Deephaven provides a comprehensive solution for real-time data processing and analytics. The platform's ability to merge and update tables in real-time ensures that users can make data-driven decisions quickly and efficiently.

Source: Dealroom company data

At a glance

Founded
2015
Headquarters
Plymouth, United States
Sector
Other B2B Software
Team profiled 3 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 1 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
2 countries with
team presence
🇺🇸 United States86.1%
🇨🇦 Canada13.9%
2 countries shown

Market sentiment

Posts on X, past 7 days

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Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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