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Access real-time market data for trading decisions; Retrieve historical data for analysis; Integrate market data into financial applications; Support algorithmic trading strategies; Monitor market trends across multiple asset classes
Offers $125 in free credits for new users; Provides access to multiple asset classes; Focused on simplifying data integration for developers
Databento employs a product-led growth (PLG) strategy, as evidenced by their website and offerings.
The clients reported on Databento's website include:
The nature of the relationships includes providing market data solutions, enhancing trading infrastructure, and supporting educational programs.
Databento employs a diverse technology stack that reflects its focus on providing APIs for real-time and historical market data. The company primarily uses Python for backend development, alongside C/C++ and Rust for high-performance server applications. In terms of frameworks, they favor established web frameworks such as Django, Flask, FastAPI, and Starlette.
For infrastructure, Databento utilizes Docker, Docker Swarm, and Kubernetes for containerization and deployment. Their data stack includes databases like MySQL, Redis, and ClickHouse, indicating a robust approach to data management.
On the sales side, the company uses HubSpot as its CRM system, which aids in record-keeping and automating sales processes. This combination of technologies illustrates Databento's commitment to leveraging modern tools and frameworks to enhance their product offerings and operational efficiency.