Datadog(DDOG)

Leader#2 in DevOps

Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.

Observability & Monitoring
DDOG
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Updated March 2026
AI Supply Chain
earlysig.com/universe
Ticker
DDOG
Market Cap
$50B
AI Revenue
25%
Supply Layer
L5: AI Platforms & Tools
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Company Overview

About Datadog

Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.

Business Model & Competitive Advantage

The company's technical moat lies in its unified data platform that ingests metrics, traces, and logs from over 750 integrations across cloud providers, containers, databases, and third-party services. Datadog's agent-based architecture provides low-overhead telemetry collection, while its Notebooks and Dashboards enable collaboration across development and operations teams. The 2023-2025 expansion into LLM Observability—monitoring AI model latency, token costs, and hallucination rates—positions Datadog uniquely as enterprises instrument generative AI workloads at scale.

Competitive Landscape 2025–2026

By 2025-2026, Datadog competes in a consolidating observability market against Dynatrace (DT), Grafana Labs, and Cisco's Splunk (acquired March 2024 for $28B). The CrowdStrike global outage in July 2024 reinforced demand for resilient, multi-vendor monitoring. Datadog's platformization strategy—expanding to 20+ products with cross-sell upsell motions—mirrors Palo Alto Networks' approach, driving net dollar retention consistently above 115%. With AI infrastructure monitoring becoming a critical workload, Datadog is positioned to capture spend as enterprises scale GPU clusters and LLM inference pipelines in 2025-2026.

Founded
2010
Headquarters
New York City, New York, United States
Revenue
$2680M
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The Datadog Story

Founded in 2010
New York City, New York, United States
Founded by Olivier Pomel, Alexis Lê-Quôc

Founders

Olivier PomelAlexis Lê-Quôc
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Company Timeline

Major milestones in Datadog's journey

15
Total Events
5
Funding Rounds
2
Acquisitions
5
Product Launches
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Leadership Team

Meet the leaders behind Datadog

Olivier Pomel

Co-Founder & Chief Executive Officer

Olivier Pomel is Co-Founder and CEO of Datadog, serving in this role since June 2010. He met co-founder Alexis Lê-Quôc as an undergraduate at École Centrale Paris and worked with him for nine years at Wireless Generation before founding Datadog. Under his leadership, Datadog has grown from a startup to a publicly-traded S&P 500 company with over $2.6 billion in annual revenue.

Alexis Lê-Quôc

Co-Founder, Chief Technology Officer & Board Member

Alexis Lê-Quôc serves as Co-Founder and Chief Technology Officer, overseeing Datadog's technology vision and product development since 2010. He is responsible for the platform's technical architecture and innovation roadmap, including the development of AI-powered observability capabilities and the time-series foundation model TOTO.

David Obstler

Chief Financial Officer

David Obstler has served as Chief Financial Officer since October 2018, bringing more than three decades of operational finance experience. He previously served as CFO of TravelClick and has been instrumental in guiding Datadog through its IPO and subsequent growth as a public company.

Adam Blitzer

Chief Operating Officer

Adam Blitzer serves as Chief Operating Officer, overseeing Datadog's global operations, go-to-market strategy, and customer success initiatives. He brings extensive experience scaling high-growth SaaS companies.

Amit Agarwal

President

Amit Agarwal serves as President of Datadog, working closely with the CEO to drive company strategy, product vision, and market expansion initiatives across global markets.

Ami Vora

Chief Product Officer

Ami Vora brings over 20 years of product experience to her role as Chief Product Officer. She previously served as Chief Product Officer at Faire and has been instrumental in expanding Datadog's product portfolio and accelerating innovation.

Sean Walters

Chief Revenue Officer

Sean Walters serves as Chief Revenue Officer, leading Datadog's worldwide sales organization and revenue growth strategy. He oversees customer acquisition, expansion, and retention across enterprise and commercial segments.

Sara Varni

Chief Marketing Officer

Sara Varni serves as Chief Marketing Officer with over 15 years of marketing leadership experience. She previously served as CMO at Attentive and Twilio, bringing deep expertise in developer-focused marketing and brand building.

Kerry Acocella

Executive Vice President, General Counsel & Secretary

Kerry Acocella serves as Executive Vice President, General Counsel, and Secretary, overseeing all legal affairs, compliance, corporate governance, and regulatory matters for Datadog globally.

Emilio Escobar

Chief Information Security Officer

Emilio Escobar serves as Chief Information Security Officer, responsible for protecting Datadog's infrastructure, data, and customer information. He oversees the company's security strategy and ensures platform security meets the highest industry standards.

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Key Differentiators

Market Leader

Datadog is recognized as a market leader in the DevOps sector, demonstrating strong industry presence and customer trust.

Enterprise Scale

With $2680M in revenue, Datadog operates at enterprise scale with proven market validation.

Top 3 Ranked

Ranked #2 in the DevOps category, consistently recognized for excellence.

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