Datadog, Inc.
Company History
Datadog History: Founding, Growth & Key Milestones
Founded 2010 in New York City, New York
When was Datadog founded?
Datadog was founded in 2010 in New York City, New York by Olivier Pomel and Alexis Le-Quoc, making it 16 years old.
- Founded
- 2010
- Founding place
- New York City, New York
- Founders
- Olivier Pomel and Alexis Le-Quoc
- Headquarters today
- New York City, New York
- Milestones documented
- 12 (2010–2026)
- Current CEO
- Olivier Pomel
- Acquisitions
- 10
| Year | Event |
|---|---|
| 2010 | Datadog Founded |
| 2012 | Datadog Product Launch |
| 2015 | Acquired Mortar Data |
| 2016 | Series D Funding |
| 2017 | Log Management Added |
| 2019 | Datadog IPO |
| 2019 | Acquired Madumbo |
| 2021 | Security Expansion |
| 2021 | Acquired Sqreen |
| 2023 | Acquired Cloudcraft |
| 2025 | Revenue Reaches $3.427B |
| 2026 | First $1 Billion Quarter |
- Where was Datadog founded?
- Datadog was founded in New York City, New York in 2010.
- Who founded Datadog?
- Datadog was founded by Olivier Pomel and Alexis Le-Quoc.
- When did Datadog start?
- Datadog was founded in 2010.
- How old is Datadog?
- Datadog is 16 years old as of 2026.
Founding Story
In 2010, Olivier Pomel and Alexis Lê-Quôc were executives at Wireless Generation. They were highly frustrated by the constant warfare between the software developers and the systems administrators. When the system crashed, the developers blamed the servers, and the server team blamed the code. Pomel realized the core problem was that they were looking at completely different data. He built Datadog to act as a 'single pane of glass', a unified dashboard that showed the code and the servers simultaneously. It was essentially software built to act as a marriage counselor for angry engineers.
Founders
Olivier Pomel
Datadog possesses a pragmatic, technical founding story, born out of frustration and intense, daily arguments between software developers and systems operations teams. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, two effective French engineers who were working at Wireless Generation (an educational technology company in New York that was later acquired by News Corp). At Wireless Generation, Pomel managed the development team (the engineers writing the code), while Lê-Quôc managed the operations team (the engineers responsible for keeping the servers running). They experienced a foundational realization: their teams hated each other. The developers constantly pushed new, buggy code, and the operations team constantly blamed the developers when the servers crashed. The root cause of this friction was that they lacked a single source of truth; they were using entirely different, siloed monitoring tools that did not communicate. Recognizing this as a universal problem across the rapidly expanding cloud industry, Pomel and Lê-Quôc quit their jobs to found Datadog. Their foundational vision was not simply to build a better monitoring tool, but to alter corporate culture by forcing Dev and Ops teams to look at the exact same data on the exact same dashboard. They initially built the platform in New York (far away from the echo chamber of Silicon Valley). Their immediate success was driven by an effective, intuitive user interface and an easy deployment process, allowing grassroots engineers to adopt Datadog without requiring top-down enterprise procurement, establishing the foundational architecture of the modern 'DevOps' movement. Olivier Pomel was born in 1976.
Alexis Le-Quoc
Alexis Le-Quoc is the Chief Technology Officer and a co-founder of Datadog, a cloud monitoring and security platform. He met his co-founder Olivier Pomel when both were students at École Centrale Paris. Le-Quoc later became Director of Operations at Wireless Generation in New York, where he saw constant friction between software developers and systems administrators. He and Pomel founded Datadog in 2010 to address it. Le-Quoc designed a monitoring platform that brings data from servers, databases and third-party applications into one dashboard. Datadog listed on Nasdaq in 2019. (Exact birth year remains publicly undisclosed).
Key Milestones
Datadog Founded
Olivier Pomel and Alexis Le-Quoc found Datadog in New York to monitor cloud infrastructure and software systems.
Source: en.wikipedia.orgDatadog Product Launch
Datadog launched its monitoring platform in 2012 after being founded in 2010.
Source: en.wikipedia.orgAcquired Mortar Data
Datadog acquired Mortar Data. Datadog acquired Mortar Data to strengthen its data analytics and processing capabilities.
Source: en.wikipedia.orgSeries D Funding
Datadog raised $94.5 million in a Series D round led by ICONIQ Capital in January 2016.
Source: en.wikipedia.orgLog Management Added
Datadog acquires Logmatic.io and expands beyond infrastructure metrics into log management.
Source: en.wikipedia.orgAcquired Madumbo
Datadog acquired Madumbo. Datadog acquired Madumbo, an AI-powered testing platform, to add automated testing and quality assurance capabilities.
Source: en.wikipedia.orgSecurity Expansion
Datadog expands into cloud security and SIEM-style workflows, broadening its platform beyond observability.
Source: en.wikipedia.orgAcquired Sqreen
Datadog acquired Sqreen. Datadog acquired Sqreen, an application security platform, for approximately $200 million.
Source: en.wikipedia.orgAcquired Cloudcraft
Datadog acquired Cloudcraft. Datadog acquired Cloudcraft, a cloud infrastructure visualization platform.
Source: en.wikipedia.orgRevenue Reaches $3.427B
Datadog reports $3.427158B in 2025 revenue and about 8,100 employees.
Source: sec.govFirst $1 Billion Quarter
Datadog reports Q1 2026 revenue of $1.006B (+32%), then $1.12B in Q2 2026 (+36%), and acquires Adaptive ML for its AI research lab.
Source: nasdaq.comMajor Acquisitions
Mortar Data
2015Datadog acquired Mortar Data to strengthen its data analytics and processing capabilities. Mortar provided a platform for data science and analytics that complemented Datadog's infrastructure monitoring data pipeline.
Logmatic
2017Datadog acquired Logmatic.io to add log management capabilities to its platform. Logmatic provided centralized log aggregation, search, and analysis that complemented Datadog's existing metrics and infrastructure monitoring.
Madumbo
2019Datadog acquired Madumbo, an AI-powered testing platform, to add automated testing and quality assurance capabilities. Madumbo used machine learning to detect UI issues and application bugs.
Sqreen
2021Datadog acquired Sqreen, an application security platform, for approximately $200 million. Sqreen provided runtime application self-protection (RASP), in-app security monitoring, and protection against OWASP top 10 vulnerabilities.
Cloudcraft
2023Datadog acquired Cloudcraft, a cloud infrastructure visualization platform. Cloudcraft provided drag-and-drop tools for creating AWS architecture diagrams and visualizing cloud infrastructure.
Quickwit
2025Datadog acquired Quickwit, an open-source cloud-native log search engine. Quickwit provided high-performance, cost-efficient log search capabilities using a novel indexing approach.
Metaplane
2025Datadog acquired Metaplane, an AI-powered data observability platform. Metaplane provided automated data quality monitoring, anomaly detection for data pipelines, and impact analysis for data issues.
Eppo
2025Datadog acquired Eppo, an experimentation infrastructure platform. Eppo provided tools for running A/B tests, feature flags, and product experiments with statistical rigor.
Propolis
2026Datadog acquired Propolis, an AI-powered QA testing platform. Propolis provided automated testing capabilities that used AI to detect bugs, performance issues, and UI problems.
Adaptive ML
2026Adaptive ML built a Reinforcement Learning Operations (RLOps) platform for training and tuning specialized AI agents and models.
Keep researching Datadog
Datadog Company History FAQ
What were the major corporate milestones of Datadog from 2010 to 2015?
Founded in 2010 in New York City by Olivier Pomel and Alexis Lê-Quôc, Datadog launched its cloud infrastructure monitoring SaaS in 2012, integrated with AWS, raised a $15M Series B in 2014, and grew to support thousands of cloud-native companies.
When did Datadog expand beyond infrastructure into APM and Log Management?
In 2017, Datadog launched Application Performance Monitoring (APM), followed by the launch of Log Management in 2018, transforming Datadog from a metrics tool into the first platform to unify the three pillars of observability (Metrics, Traces, Logs).
What occurred during Datadog's historic NASDAQ IPO in September 2019?
On September 19, 2019, Datadog completed its Initial Public Offering on the NASDAQ under ticker 'DDOG', raising $648 million at a $7.8 billion valuation, with shares surging 39% on its first day of public trading.
How did Datadog perform during the global cloud migration acceleration in 2020 to 2021?
During the pandemic, as global enterprises accelerated digital transformations and cloud migrations, Datadog's ARR surged past $1.0 billion, launching Cloud Security Posture Management and expanding into digital experience monitoring.
When did Datadog launch Bits AI and enter generative AI observability?
In 2023 to 2024, Datadog launched Bits AI (its generative AI DevOps copilot) and LLM Observability, enabling software engineering teams to monitor, debug, and secure production LLM applications across multi-cloud environments.
What milestones did Datadog achieve in its 2024 financial results?
In 2024, Datadog surpassed $2.6 billion in annual revenue, generated over $750 million in free cash flow, grew its enterprise customer base past 28,000 organizations, and expanded its product catalog to over 20 integrated modules.
How has Datadog scaled its global office footprint and engineering teams?
By late 2024, Datadog expanded to over 5,500 employees worldwide, operating major research and engineering centers in New York City, Paris, Boston, Dublin, Madrid, Tokyo, and Sydney.
What are Datadog, Inc.'s primary strategic priorities for 2025 and beyond?
Datadog is focused on expanding its Cloud Security and SIEM market share, scaling LLM and GenAI observability, advancing autonomous AI remediation with Bits AI, growing Cloud Cost Management (FinOps), and sustaining 25%+ profitable revenue growth.
How did Datadog start?
Datadog was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc. They were working together at Wireless Generation and were incredibly frustrated by the massive, constant fighting between software developers and system administrators who used completely different tools. Datadog was built to unify them.
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