Databento API
Databento is a market data API provider that delivers direct exchange feeds with low-latency APIs and usage-based pricing, targeting quantitative traders, hedge funds, and HFT researchers who need high-fidelity futures, options, and equities data.
Publisher review
Databento is a market data API provider that delivers direct exchange feeds with low-latency APIs and usage-based pricing, targeting quantitative traders, hedge funds, and HFT researchers who need high-fidelity futures, options, and equities data. It supports over 21,000 products and 3 million symbols from more than 60 trading venues, with a claimed normalization latency of 6.1 microseconds and 99.99% uptime. The platform is designed for users who require deterministic replay and exchange-faithful event sequencing, making it suitable for order book reconstruction and microstructure analysis. Databento offers historical data covering 15+ years and live data included in paid plans, with support for multiple symbology systems and formats including CSV, JSON, and its proprietary Databento Binary Encoding (DBE).
Databento works by providing direct exchange feeds for futures, options, equities, and other asset classes, with data available at market-by-order (L3) and market-by-price (L2) granularities. It offers flexible pricing models—Standard, Plus, and Unlimited—alongside usage-based pricing ($/GB) for historical data, which is billed per byte consumed in uncompressed binary encoding (CSV/JSON conversions incur no extra charge). Users can access data via streaming or batch download, with batch downloads allowing unlimited re-downloads over 30 days. The platform supports Python, C++, and Rust client libraries, and includes corporate actions data, automated licensing, and a self-service portal for data requests. New users receive $125 in free credits upon signup, which expire after six months.
Databento’s primary competitor is Polygon.io (Massive), but the two serve different markets: Massive focuses on broad multi-asset coverage with REST/WebSocket APIs for equities, options, forex, and crypto at minute-level resolution, while Databento is optimized for high-fidelity futures and HFT research with full order book depth and microsecond timestamps. Databento claims to be the world’s first market data provider to offer usage-based pricing, and its direct exchange feeds provide lower latency than aggregated APIs. However, Massive offers simpler integration for mid-frequency strategies and broader asset coverage, while Databento’s design prioritizes deterministic replay and exchange-native timestamps for microstructure analysis.
The honest trade-offs: Databento does not support point-in-time market cap histories, filings-aligned corporate context, or dilution data, limiting its use for fundamental equity research. Higher costs for advanced features and larger datasets can be prohibitive for small teams or individual traders. Limited support for non-futures and non-HFT research means it is less suitable for equities-focused strategies at lower frequencies. Additionally, the steeper learning curve and more complex ingestion pipelines require more engineering effort compared to simpler APIs like Polygon.io’s Massive.
How it works
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Direct exchange feeds
Provides real-time and historical data directly from over 60 trading venues, ensuring full order book depth and ultra-low latency.
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Usage-based pricing ($/GB)
Bills per byte of uncompressed binary data consumed, with no monthly subscription fee for historical data; CSV/JSON conversions are free.
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Flexible pricing models
Offers Standard ($199/month), Plus, and Unlimited plans for live data, plus pay-as-you-go historical pricing.
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Multi-asset support
Covers futures, options, equities, and more, with over 21,000 products and 3 million symbols from global venues.
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Deterministic replay
Preserves exchange-native timestamps and feed-accurate event sequencing, enabling precise order book reconstruction and HFT research.
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Multiple data formats
Supports CSV, JSON, and Databento Binary Encoding (DBE), with conversion from binary at no extra cost.
Strengths and trade-offs
Strengths
- Direct exchange feeds result in full order book depth and a claimed 6.1-microsecond normalization latency.
- Usage-based pricing for historical data allows users to pay only for the bytes consumed, with no monthly subscription fee.
- Supports deterministic replay and exchange-faithful event sequencing, critical for HFT and microstructure research.
- Provides $125 in free credits for new users, which can be used on historical data or the first month of a subscription plan.
Trade-offs
- Does not support point-in-time market cap histories, filings-aligned corporate context, or dilution data, limiting fundamental equity research.
- Higher costs for advanced features and larger datasets can be prohibitive for small teams or individual traders.
- Limited support for non-futures and non-HFT research, making it less suitable for equities-focused strategies at lower frequencies.
- Steeper learning curve and more complex ingestion pipelines require more engineering effort compared to simpler APIs like Polygon.io's Massive.
Pricing context
Standard plan at $199/month includes unlimited access to seven years of OHLCV history, 12 months of Level 0/1 historical data across 12 schemas, and one month of Level 2 (MBP-10) and Level 3 (MBO, Imbalance) history. Plus and Unlimited plans offer enhanced live data and external distribution. Usage-based historical pricing at $/GB with no monthly subscription fee. New users receive $125 in free credits.
Getting started with Databento API
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Sign up for account
Go to the Databento website and create an account. Provide your email and set a password. After verification, you will receive $125 in free credits, which expire after six months.
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Install client library
Install the Databento Python client library using pip: `pip install databento`. This library provides functions to connect to the API and stream or download market data.
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Authenticate with API key
Log into your Databento account and copy your API key from the dashboard. Set it as an environment variable or pass it directly in your code to authenticate requests.
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Stream live market data
Use the Python client to subscribe to a dataset, such as futures or equities. Specify the symbol, schema (e.g., MBO for order book), and start time. Run the script to receive real-time data.
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Download historical data
Use the batch download feature to retrieve historical data. Define the dataset, date range, and format (CSV, JSON, or DBE). The data is billed per byte of uncompressed binary consumed.
Frequently Asked Questions
What is Databento API and who is it for?
Databento API is a market data provider offering direct exchange feeds with low-latency APIs and usage-based pricing. It targets quantitative traders, hedge funds, and HFT researchers needing high-fidelity futures, options, and equities data from over 60 venues.
How does Databento's usage-based pricing work?
Databento bills per byte of uncompressed binary data consumed for historical data, with no monthly subscription fee. CSV or JSON conversions are free. New users get $125 in free credits, which expire after six months.
What asset classes and venues does Databento cover?
Databento supports over 21,000 products and 3 million symbols from more than 60 trading venues, covering futures, options, equities, and other asset classes. Data is available at market-by-order (L3) and market-by-price (L2) granularities.
What is deterministic replay in Databento?
Deterministic replay preserves exchange-native timestamps and feed-accurate event sequencing, enabling precise order book reconstruction and microstructure analysis. This feature is critical for HFT research and backtesting strategies with high fidelity.
How does Databento compare to Polygon.io?
Databento is optimized for high-fidelity futures and HFT research with full order book depth and microsecond timestamps, while Polygon.io offers broader multi-asset coverage with simpler REST/WebSocket APIs for mid-frequency strategies. Databento has lower latency but a steeper learning curve.
What are the main weaknesses of Databento?
Databento lacks point-in-time market cap histories and filings-aligned corporate context, limiting fundamental equity research. Higher costs for advanced features can be prohibitive for small teams, and the platform requires more engineering effort than simpler APIs like Polygon.io.
Alternatives
How Databento API compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Databento API
- Pricing
- Standard plan at $199/month includes unlimited access to seven years of OHLCV history, 12 months of Level 0/1 historical data across 12 schemas, and one month of Level 2 (MBP-10) and Level 3 (MBO, Imbalance) history. Plus and Unlimited plans offer enhanced live data and external distribution. Usage-based historical pricing at $/GB with no monthly subscription fee. New users receive $125 in free credits.
- Target
- Databento is a market data API provider that delivers direct exchange feeds with low-latency APIs and usage-based pricing, targeting quantitative traders, hedge funds, and HFT
- Strength
- Direct exchange feeds result in full order book depth and a claimed 6.1-microsecond normalization latency.
- Watch for
- Does not support point-in-time market cap histories, filings-aligned corporate context, or dilution data, limiting fundamental equity research.
Polygon.io
- Pricing
- Mid-range to high; real-time data can be expensive.
- Target
- Algorithmic traders needing US equities, options, crypto data.
- Deployment
- Cloud API
- Strength
- Strong US market coverage and data accuracy.
- Watch for
- Limited international coverage; historical depth may be insufficient.
InsightSentry
- Pricing
- Competitive; offers broad coverage at lower cost than Databento.
- Target
- Global traders needing multi-asset real-time and historical data.
- Deployment
- Cloud API
- Strength
- Extensive global coverage with 250+ data sources.
- Watch for
- Historical intraday limited to 20k data points; REST latency higher.
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Sources
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