Databento Raises $100 Million at a $1.1 Billion Valuation

By Daniel Okafor

Databento has raised $100 million in Series C funding at a $1.1 billion valuation, according to the company’s funding announcement. The financing will give the market data provider additional resources to expand its products and infrastructure.

Databento said the round reflects demand from trading firms, financial institutions, fintech companies and developers. These buyers want market data that is easier to purchase, normalize and integrate, the company said.

Traditional market data systems often require lengthy contracting processes, specialized infrastructure and complex usage agreements, Databento said. Its cloud-based delivery model aims to remove much of that friction before customers connect information to research or trading applications.

What does the $100 million fund?

Databento said the capital will support four operating priorities:

• Broaden exchange coverage.
• Improve delivery performance.
• Expand the company’s workforce.
• Serve larger institutional customers.

The investment also positions Databento to compete more directly with established financial information and infrastructure providers, according to the company. Together, these uses put product breadth and operating capacity on the same growth path. The company is trying to turn a lower-friction purchasing model into deeper institutional relationships.

Databento Leadership said: “This funding gives us the resources to continue building market data infrastructure that is simpler, faster, and more transparent for firms of every size.”

That statement puts product execution at the center of the financing. Databento must now convert broader exchange coverage and additional delivery capacity into larger institutional deployments rather than treating its reported valuation as a substitute for operating scale.

How does API delivery reduce market data friction?

Databento offers historical and real-time data through APIs and cloud-based delivery, the company said. Customers can access institutional-grade information without maintaining the same proprietary data infrastructure that conventional vendors require, according to Databento.

The platform spans multiple exchanges and asset classes, the company said. Its technology normalizes information into consistent schemas, allowing quantitative researchers and software developers to work with data from different venues through one common interface.

The bottleneck sits before a dataset reaches production. A firm must first secure data, normalize formats across venues and integrate the result with research or trading systems. Databento says its API model is designed to shorten that sequence by supplying consistent schemas through cloud delivery.

For a developer, the concrete comparison is between commissioning dedicated market data infrastructure and connecting through an API. Databento says the second route is designed to reduce the setup burden before a dataset enters a firm’s workflow.

Databento said financial organizations increasingly want programmable access that scales with research, backtesting, risk management and production trading workloads. By reducing implementation complexity, the company aims to shorten the time required for firms to move from evaluating a dataset to using it in live applications.

What is driving the industry shift?

Databento said its growth illustrates how cloud delivery and usage-oriented pricing are changing the market data industry. The company links that shift to financial organizations’ increasing demand for programmable access.

The shift reaches purchasing criteria, not just delivery technology. Conventional systems place complexity in procurement, infrastructure and usage agreements. Databento centers the buying process on API access, with normalization built into delivery.

Databento’s model combines API access, cloud delivery and normalized schemas. Each element addresses a different part of procurement friction, from contracting and infrastructure to combining information across venues.

The financing now tests that model at greater scale, with broader exchange coverage and improved delivery performance supporting an effort to win larger institutional customers. Databento also plans to expand its workforce as it pursues those relationships.

The company’s central claim is simple: faster implementation can shorten the route from evaluation to live use. The Series C gives Databento resources to pursue that goal.

The next test is whether Databento can turn broader coverage and faster delivery into larger institutional deployments. The announcement did not disclose customer commitments, revenue targets or a timetable, leaving execution against those benchmarks as the clearest measure of whether the $1.1 billion valuation rests on durable scale.