Financial Services

60 Microseconds to Market: How Databento Achieves Financial Industry-Leading Latency

Databento

Objective

Databento empowers over 20,000 organizations-including global broker-dealers, quant funds, and AI-driven trading innovators-with modern, cloud-based APIs for institutional-grade market data. Its meticulously structured data and AI-optimized infrastructure accelerate the development of sophisticated trading strategies. By integrating NVIDIA's open and scalable networking solutions, Databento delivers record-setting speed, ease of use, and efficiency for market data, fueling rapid growth and unveiling new possibilities for both the financial and AI sectors.

Customer

Databento

Use Case

Networking

Key Takeaways

  • Delivered U.S. options data online in under 242 microseconds and achieved super-fast median response times of under 60 microseconds, removing the need for expensive on-site tech setups.
  • Cut network management workload by more than 60%, due to NVIDIA-powered automation-helping a small team rapidly scale operations to support 3,800% annual revenue growth.
  • Lowered data center networking costs by 20% compared to other vendors, while getting better performance for high-speed storage needs.

Exponential Data Demands Push Financial Firms to Scale and Simplify

Financial institutions must process massive volumes of market data at extremely low latency, especially during high-activity periods like market opens, where Databento regularly exceeds 80 Gbps and handles over 200 billion market updates each day. Demand continues to climb, with U.S. options data alone surpassing standard 40G network links. These strict bandwidth and latency needs are particularly tough for firms focused on electronic trading.

Traditional networking solutions in finance often fall short: Many vendors offer expensive, niche, and unreliable products that lack the enterprise-grade reliability or support necessary for these workloads. Firms are forced into fragmented architectures that separate bandwidth-intensive tasks from latency-sensitive ones, adding complexity and operational overhead. This fragmented approach slows innovation and restricts scalability.

These challenges drove Databento to seek a unified, cost-effective networking solution with best-in-class performance and operational simplicity.

Databento

Databento       

Databento's preprocessing and customization options enable researchers to quickly configure market data for their specific workflows, from selecting date ranges and symbols to choosing output formats optimized for machine learning pipelines. This flexibility allows teams to move directly from data acquisition to model training without additional ETL overhead.

Unified Automation Reduces Overhead and Future-Proofs Growth

Databento adopted a comprehensive NVIDIA-powered networking stack to address its critical business and technical challenges. Leveraging NVIDIA Spectrum™ Ethernet switches and ConnectX SuperNICs across its private cloud infrastructure spanning four data centers with over 30 PB of storage capacity, Databento built a high-performance, cost-efficient, and scalable network foundation.

A pivotal change was implementing NVIDIA Cumulus Linux for network switch management, letting Databento automate and control its network with the same tools as its servers. This simplification reduced operational complexity and cut network operations overhead by over 60%, helping alleviate the workload on specialized networking staff.

For real-time market data, NVIDIA ConnectX NICs paired with technologies like VMA and DPDK delivered ultra-low latency packet processing—helping Databento outperform traditional and expensive proprietary networking gear while maintaining deterministic, jitter-minimized forwarding from host to host using NVIDIA Spectrum switches and ConnectX NICs.

Further scaling was enabled by software-defined networking through the Netris overlay on NVIDIA hardware, creating a private cloud network environment that elastically grows with business demands. Netris software gateways transformed commodity servers equipped with NVIDIA NICs into multifunctional routing, firewall, and load-balancing devices, replacing costly, fixed-function appliances and significantly reducing infrastructure costs while keeping the network consistent, predictable, and intent-driven as Databento grows.

Databento

Unmatched Efficiency Drives Rapid Growth

With NVIDIA's advanced networking solutions, Databento achieved extraordinary results that powered its explosive growth and innovation in financial market data services:

  • Accelerated data delivery: Databento's median network latency dropped below 60 microseconds using NVIDIA NICs with DPDK acceleration. This unparalleled speed delivered U.S. options market data to customers within 242 microseconds over the internet-a game-changing capability that lets customers eliminate expensive physical colocation and cut hosting costs by over 80%, accelerating migration to cloud-based architectures. NVIDIA Spectrum silicon and ConnectX NICs provide deterministic low latency with consistent, jitter-minimized forwarding between hosts, even during extreme market volatility.
  • Zero- or low-loss market-data delivery: Spectrum's advanced buffer management and NVIDIA Cumulus telemetry help Databento maintain zero or near-zero packet loss during intense market spikes, protecting downstream trading strategies from missing critical ticks while sustaining very high throughput.
  • Precision timekeeping and ordering: ConnectX hardware timestamping enables highly accurate sequencing of market-data events, improving both internal processing pipelines and the ordering guarantees Databento provides to customers consuming its feeds.
  • Reduced CPU overhead and higher throughput: Hardware offloads and kernel-bypass paths on NVIDIA NICs allow Databento to maximize packet processing performance while minimizing CPU load, freeing cores for analytics, AI, and customer-facing workloads.
  • Deep observability and operational efficiency: Telemetry from NVIDIA Spectrum switches, surfaced through tools such as Prometheus and Grafana, gives Databento fine-grained visibility into microbursts, asymmetric traffic flows, and transient congestion, enabling rapid diagnosis and resolution of anomalies.
  • Streamlined operations and scalability: Network automation and unified management with Cumulus Linux and Netris slashed Databento's operations overhead by more than 60%, enabling a lean team to keep pace with a 3,800% annualized revenue run rate growth over two years, scaling infrastructure seamlessly alongside business and headcount expansion. Cumulus Linux on NVIDIA Spectrum gives Databento an open, programmable fabric with deep, hardware-level visibility for ultra-low-latency trading.
  • Optimized cost and performance: Using NVIDIA Ethernet switches and NICs, Databento optimized its 100G NVMe storage network for both performance and cost-efficiency, achieving similar levels of performance at roughly 20% lower cost versus other vendors.

These improvements strengthened Databento's competitive edge in serving top-tier clients across financial markets, hedge funds, AI companies, and fintech firms, cementing its position as an industry disruptor.

"Partnering with NVIDIA has allowed us to scale our private cloud rapidly and deliver market data with unprecedented speed, creating a new category of use cases that eliminate the need for costly physical colocation. It has enabled us to replace specialized hardware with flexible, software-defined infrastructure-fueling Databento's rapid growth and AI-driven innovation in finance."

Christina Qi
CEO of Databento

Looking Ahead: Upgrading to 400G and Accelerated AI Infrastructure

Databento plans to continue evolving its infrastructure with NVIDIA technologies by upgrading to 400G networking and enhancing storage architectures using NVIDIA® BlueField® DPUs. These advancements promise to sustain Databento’s edge in speed, scalability, and cost-effectiveness as market data demands and AI workloads grow.

Discover how NVIDIA Networking solutions can accelerate AI workflows in financial services.

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