Databento sells market data through a single API covering equities, futures, and options, with real-time and historical feeds from more than 60 trading venues worldwide . The platform is aimed at quant funds, prop trading firms, and engineers building trading systems who have historically dealt with slow procurement, opaque pricing, and inconsistent normalization across vendors. Customers can pay only for what they use or subscribe for unlimited access, with data sourced from direct exchange feeds at Aurora I and Equinix FR2 colocation facilities .
The launch marks Databento's $97 million Series B led by NEA, with participation from DRW, Redpoint Ventures, and Tribe Capital. The Salt Lake City company drew more than $300 million in total investor demand, its second major raise in roughly a year . According to the announcement, the capital will fund broader global coverage, additional infrastructure, and expansion into new asset classes including crypto.
The company is led by CEO Christina Qi, who previously co-founded Domeyard LP, a high-frequency trading hedge fund that traded up to $7.1 billion per day . That operator background shapes the product's positioning for buyers who want institutional-grade data without the traditional enterprise sales cycle. The company advertises access to a first dataset in as little as three minutes with no sales call required , a claim that reflects how the team is trying to differentiate against incumbents like Bloomberg and LSEG.
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P
Priya AnandJul 12, 2026
Curious about net revenue retention on the quant desks vs the retail-adjacent buyers. One of those cohorts churns like crazy and I have my guesses.
C
chartgremlinJul 12, 2026
The engagement curve on this tweet is doing something weird around hour 3. Either a big account quote-tweeted or the algo just likes the word Series.
K
Kofi MensahJul 12, 2026
The announcement thread is refreshingly boring in a good way. No cinematic drone shot of a Bloomberg terminal, no orchestral swell, just numbers and logos. Respect.
Y
Yuki TanakaJul 12, 2026
Two people and a Postgres could probably ship an MVP of this in a weekend. Scaling it to tick-level historical without going bankrupt on egress fees is the actual moat.
D
Dmitri V.Jul 12, 2026
Market data pricing has been a hostage situation since 2004, so watching a startup walk in with a normal API and a menu is basically financial thriller content.
S
seraphJul 12, 2026
Waiting for the inevitable on-chain oracle spinoff where equities tick data gets posted to some L2 nobody uses. You know it's coming.
L
Lena OseiJul 12, 2026
If the infra team is hiring, I've got a low-latency C++ engineer sitting on an offer deadline this Friday. DMs open.
F
Farid RahimiJul 12, 2026
Nobody talks about how painful it is to actually fulfill historical data orders. Curious how the ops side scales when a client asks for ten years of options tick data at 2am.
M
Marta KowalskiJul 12, 2026
I still remember when getting a CSV of daily bars felt like a heist. If this works as advertised then my 2019 self would be extremely jealous.
R
Ravi SubramanianJul 12, 2026
One more thing: a natural language query layer over the historical archives. I want to type give me every SPY print during a Fed minute release and just get a parquet back.
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Databento
A simpler, faster way to get market data
A simpler, faster way to get market data
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Databento sells market data through a single API covering equities, futures, and options, with real-time and historical feeds from more than 60 trading venues worldwide . The platform is aimed at quant funds, prop trading firms, and engineers building trading systems who have historically dealt with slow procurement, opaque pricing, and inconsistent normalization across vendors. Customers can pay only for what they use or subscribe for unlimited access, with data sourced from direct exchange feeds at Aurora I and Equinix FR2 colocation facilities . The launch marks Databento's $97 million Series B led by NEA, with participation from DRW, Redpoint Ventures, and Tribe Capital. The Salt Lake City company drew more than $300 million in total investor demand, its second major raise in roughly a year . According to the announcement, the capital will fund broader global coverage, additional infrastructure, and expansion into new asset classes including crypto. The company is led by CEO Christina Qi, who previously co-founded Domeyard LP, a high-frequency trading hedge fund that traded up to $7.1 billion per day . That operator background shapes the product's positioning for buyers who want institutional-grade data without the traditional enterprise sales cycle. The company advertises access to a first dataset in as little as three minutes with no sales call required , a claim that reflects how the team is trying to differentiate against incumbents like Bloomberg and LSEG.
Comments (10)
Curious about net revenue retention on the quant desks vs the retail-adjacent buyers. One of those cohorts churns like crazy and I have my guesses.
The engagement curve on this tweet is doing something weird around hour 3. Either a big account quote-tweeted or the algo just likes the word Series.
The announcement thread is refreshingly boring in a good way. No cinematic drone shot of a Bloomberg terminal, no orchestral swell, just numbers and logos. Respect.
Two people and a Postgres could probably ship an MVP of this in a weekend. Scaling it to tick-level historical without going bankrupt on egress fees is the actual moat.
Market data pricing has been a hostage situation since 2004, so watching a startup walk in with a normal API and a menu is basically financial thriller content.
Waiting for the inevitable on-chain oracle spinoff where equities tick data gets posted to some L2 nobody uses. You know it's coming.
If the infra team is hiring, I've got a low-latency C++ engineer sitting on an offer deadline this Friday. DMs open.
Nobody talks about how painful it is to actually fulfill historical data orders. Curious how the ops side scales when a client asks for ten years of options tick data at 2am.
I still remember when getting a CSV of daily bars felt like a heist. If this works as advertised then my 2019 self would be extremely jealous.
One more thing: a natural language query layer over the historical archives. I want to type give me every SPY print during a Fed minute release and just get a parquet back.