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Databento
Christina Qi co-founded Databento in 2019 to deliver pay-as-you-go full order book market data over the cloud. Trusted by firms with over $100B in AUM.
Databento
Databento provides real-time and historical market data APIs. Access data for equities, futures, options, and more with one integration. Sign up for $125 in free credits.
General information
Firm type
Asset Manager
Year founded
2019
AUM
Undisclosed
Location
Region
North America
Country
United States
City
Salt Lake City
Corporate office
26 S Rio Grande St, Salt Lake City, UT 84101, USA
Additional offices
Boston, MA, USA
Principals
Christina Qi
Co-founder, CEO
Zach Banks
API engineering
Renan Gemignani
Core engineering
Vinicius Livramento
Core engineering
Casey Sharbaugh
People
Roberto Mesado
Frontend engineering
Enda Peng
Data engineering
Siqi Chen
Product
Jack Culhane
Core engineering
Tessa Hollinger
Marketing and growth
Luca Lin
API engineering
Tom Madureira
Systems engineering
Weiyi Zhang
Product
Trey Palmer
Systems engineering
Carter Green
Core engineering
Nick Macholl
API engineering
Sector focus
Frequently asked questions
Who runs investment decisions at Databento?
Databento is a market data infrastructure and API company, not an investment firm. It does not manage external capital, make investment decisions, or operate as a family office. The company is run by Co-founder and CEO Christina Qi, alongside an engineering-heavy leadership team with prior experience at trading firms including Two Sigma, Tower Research Capital, and Flow Traders.
What type of market data does Databento provide?
Databento distributes tick-level historical and streaming real-time market data for equities, futures, and options from over 60 trading venues. Feeds include full order book depth, top-of-book quotes, and trades, normalized through a single API and available on a pay-as-you-go basis. The platform was designed to replace the multi-vendor, flat-fee licensing model that the founding team encountered while building trading systems at Domeyard and Two Sigma.
How does Databento's pricing model differ from traditional market data vendors?
Databento charges based on actual data consumption — measured by volume of records retrieved — rather than per-venue, per-user subscription fees. The company offers $125 in free credits at sign-up and does not require annual commitments, which lowers the barrier for startups and academic researchers while giving large funds predictable, usage-aligned costs for production workloads.
Which trading firms and funds use Databento's APIs?
The company states that researchers and engineers at the largest market makers and hedge funds, representing over $100 billion in aggregate AUM, use its APIs. Databento does not publish a named client list, but the team's prior institutional relationships at Two Sigma, Tower Research Capital, Belvedere Trading, and Rotella Capital Management ground its credibility in the quantitative trading community.
What is Databento's known posture on co-investments alongside external investors?
Databento is a venture-backed technology company, not an investment vehicle. It raised over $27 million in Series A funding by November 2021 from leading investors, whose identities have not been publicly named. The firm does not participate in co-investments, fund commitments, or direct deals in the capacity of a family office or asset manager.
Does Databento maintain any philanthropic structures?
No philanthropic foundation or charitable vehicle tied to Databento, its co-founders, or its investors has been publicly disclosed. The company's public activities are limited to its commercial data distribution business and a university partnership program.
How is Databento's engineering team structured, and why does it matter?
The engineering group includes the former tech lead for high-frequency market data at Two Sigma and the principal architect of a 100G appliance at Corvil. By recruiting connectivity engineers from Flow Traders and storage engineers from Pandora and Mailchimp, Databento built a team capable of handling the latency and throughput demands of institutional trading desks — a profile that distinguishes the firm from purely cloud-native data startups without front-office trading experience.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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