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Datadog

From Alfawiki
Datadog, Inc.
Company typePublic
IndustrySoftware, Cloud computing
FoundedJanuary 1, 2010; 16 years ago (2010-01-01) in New York City, United States
FounderOlivier Pomel, Alexis Lê-Quôc
Headquarters
New York City
,
United States
Area served
Worldwide
Key people
Olivier Pomel (CEO)
ProductsInfrastructure Monitoring, Network Performance Monitoring, Network Device Monitoring, Serverless Monitoring, Cloud Cost Management
Number of employees
5200+ (2024)
Websitewww.datadoghq.com

Datadog, Inc. is a United States-based firm providing an observability platform tailored for cloud-scale applications, enabling the monitoring of servers, databases, tools, and services through a SaaS data analytics solution. Established and headquartered in New York City, the company is publicly listed on the Nasdaq stock market.

Early Development

Founded in 2010 in New York City by Olivier Pomel and Alexis Lê-Quôc—who connected during their tenure at Wireless Generation—Datadog was created to close the communication gap between development teams and systems administrators following NewsCorp’s acquisition of their previous employer.

Initially launched as a cloud infrastructure monitoring tool featuring dashboards, alerts, and metric visualization capabilities, Datadog grew swiftly alongside the rise of cloud computing. Its platform now supports leading cloud providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Red Hat OpenShift, VMware, and OpenStack.

Expansion and Development

In 2015, Datadog broadened its international presence by inaugurating a research and development center in Paris. The following year saw the company move its headquarters within New York City to occupy an entire floor in the New York Times Building, reflecting a workforce that doubled during 2016. That same year marked the beta launch of its Application Performance Monitoring (APM) product, delivering an all-encompassing full-stack monitoring solution. As of 2024, Datadog's workforce exceeds 5,200 employees primarily based in the United States, with additional offices located in Boston, Paris, Dublin, Denver, San Francisco, Amsterdam, Japan, Australia, and Singapore.

Prior to its initial public offering in September 2019, Datadog rejected a $7 billion acquisition proposal from Cisco, choosing instead to proceed with going public.

Strategic Acquisitions

Datadog has enhanced its product suite and market position through several targeted acquisitions. Notable purchases include Mortar Data in 2015 to merge analytics with monitoring capabilities; Logmatic in 2017 for log management solutions; Madumbo in 2019 to advance application testing; and Undefined Labs in 2020 to boost developer workflow observability.

In 2021, the company acquired Timber—a provider of high-performance data pipelines—and Sqreen, which focuses on application security for enterprise clients. Later that year, Ozcode was added to offer live debugging and code-level insight within production environments.

The acquisition momentum continued into 2022 with Seekret for API observability enhancements; HDIV to strengthen security testing features; CoScreen for enabling real-time collaboration; and Cloudcraft to support infrastructure modeling.

In 2023, Datadog further expanded by acquiring Codiga to improve static code analysis throughout development cycles and Actiondesk to integrate cloud spreadsheet tools with dynamic data sources across its cloud ecosystem.

These acquisitions illustrate Datadog’s commitment to broadening its observability platform while solidifying its competitive edge across cloud infrastructure monitoring and security domains.

Products

Datadog offers a comprehensive range of monitoring solutions tailored to assist engineering teams in effectively overseeing cloud and hybrid infrastructures. Its primary products encompass Infrastructure Monitoring, Network Performance Monitoring, Network Device Monitoring, Serverless Monitoring, and Cloud Cost Management—all designed to enhance infrastructure dependability, efficiency, and cost-effectiveness.

Technology

The Datadog agent, originally developed in Python by founder David Mytton, was reengineered in Go with the release of version 6.0.0 in 2018. The platform's backend incorporates a combination of proprietary and open-source technologies, including D3.js, Apache Cassandra, Kafka, and PostgreSQL.

Since 2014, Datadog has broadened its compatibility to include leading cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, and Red Hat OpenShift. By October 2024, the system supports integration with more than 750 technologies, reinforcing its position and competitive edge within the market.

Funding

Established in 2010, Datadog initially received seed capital from NYC Seed alongside various venture investors. The company secured $6.2 million during its Series A round in 2012, led by Index Ventures and RTP Ventures; followed by a $15 million Series B round in 2014 spearheaded by OpenView Venture Partners; and $31 million in Series C funding in 2015 with Index Ventures returning as lead investor. In 2016, Datadog completed a $94.5 million Series D financing round led by ICONIQ Capital—ranking among the largest in New York City that year—fueling its expansion and global presence.

Datadog launched its initial public offering on Nasdaq on September 19, 2019, issuing 24 million shares and generating $648 million at a valuation of $8.7 billion. This public debut represented a pivotal achievement in the company’s financial trajectory and strategic prominence within the cloud monitoring sector.

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