Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform. Founded and headquartered in New York City, the company is a publicly traded entity on the Nasdaq stock exchange. The mascot is a dog named Bits.[2]
Datadog was founded in New York City in 2010[3] by Olivier Pomel[4] and Alexis Lê-Quôc,[5] who met while working at Wireless Generation. After Wireless Generation was acquired by NewsCorp, the two set out to create a product that would reduce the friction they experienced between developer and systems administration teams, who were often working at cross-purposes.
In 2015, Datadog opened a research and development office in Paris.[7]
In 2016, Datadog moved its New York City headquarters to a full floor of the New York Times Building to support its growing team, which doubled over the course of the year.[8] Datadog announced the beta-release of Application Performance Monitoring in 2016, offering for the first time a full-stack monitoring solution. As of 2024, the company has more than 5,200 employees, the majority of which are located in the US, with offices in New York, Boston, Paris, Dublin, Denver, San Francisco, Amsterdam, Japan, Australia and Singapore.[9]
Prior to Datadog's initial public offering (IPO) in September 2019, the company was offered over $7 billion to be acquired by Cisco, but rejected it in favor of going public.[10]
In Feb 2015, Datadog announced its acquisition of Mortar Data to help tie analytics to data monitoring.[11]
In September 2017, Datadog announced its acquisition of Logmatic.[12]
In February 2019, Datadog announced its acquisition of Madumbo.[13][14]
In August 2020, Datadog announced its acquisition of Undefined Labs, a testing and observability company for developer workflows.[15]
In February 2021, Datadog announced its acquisition of Timber, a vendor agnostic, high-performance data pipeline.[16]
In February 2021, Datadog announced its acquisition of Sqreen, an application security platform for the modern enterprise.[17]
In November 2021, Datadog announced its acquisition of Ozcode, a live debugging solution that brings code-level visibility into production environments.[18]
In August 2022, Datadog announced its acquisition of Seekret, an API observability platform.[19]
In May 2022, Datadog announced its acquisition of HDIV.[20][21]
In Oct 2022, Datadog announced its acquisition of CoScreen, a tool for real-time collaboration.[22]
In November 2022, Datadog announced its acquisition of Cloudcraft, an infrastructure modeling solution that enables you to create dynamic architecture diagrams.[23]
In April 2023, Datadog announced its acquisition of Codiga, which provides powerful static code analysis that works across the development lifecycle.[24][25]
In November 2023, Datadog announced its acquisition of Actiondesk, a cloud-based spreadsheet application that integrates with your live data sources, enabling you to access and join data from across your cloud stack.[26][user-generated source?]
Datadog offers a range of monitoring services to support engineering teams in effectively managing their cloud or hybrid environments. These services include Infrastructure Monitoring,[27] Network Performance Monitoring,[28] Network Device Monitoring, Serverless Monitoring, and Cloud Cost Management to help businesses maintain the reliability, performance, and cost-effectiveness of their infrastructure and applications.
Datadog uses a Go-based agent, rewritten from scratch since its major version 6.0.0 released on February 28, 2018.[29] It was formerly Python-based,[30] forked from the original created in 2009 by David Mytton[31] for Server Density (previously called Boxed Ice). Its backend is built using a number of open and closed source technologies including D3, Apache Cassandra, Kafka, PostgreSQL, etc.[32]
In 2010, Datadog launched with a seed round, with participation by NYC Seed, Contour Venture Partners, IA Ventures, Jerry Neumann and Alex Payne, among others. In 2012, it raised a $6.2 million Series A round co-led by Index Ventures and RTP Ventures.[33] In 2014, Datadog raised a $15 million Series B round led by OpenView Venture Partners,[34] followed by a $31 million Series C round led by Index Ventures in 2015.[35] Datadog opened 2016 with a $94.5 million Series D round led by ICONIQ Capital,[36] one of the largest funding rounds for a New York City company during that year.[37]
Datadog went public via an IPO on the Nasdaq exchange on September 19, 2019, selling 24 million shares and raising $648 million, valuing the company at $8.7 billion.[38][39]
Datadog was listed in Forbes' Cloud 100[40] and was ranked in the top ten fastest growing companies in North America in Deloitte's 2016 Fast 500 List.[41] In both 2015[42] and 2016,[43] Crain's named Datadog to its list of the 100 Best Places to Work in New York City. Datadog was also listed on Wealthfront's 2017 Career-Launching Companies List[44] and Business Insider's 51 enterprise startups to bet your career on in 2017.[45] BuiltIn named it Boston's 5th top company to work for in 2019.[46]
^"Press Kit". Datadog. Retrieved 22 February 2022.
^Palmeri, Steph (27 July 2010). "Quick Note on SeedStart Demo Day". StephPalmeri.com. Archived from the original on 1 August 2010. Retrieved 16 November 2018. Here, the five SeedStart companies (DataDog, Introspectr, Lexeem, Reducify, and Risktail) debuted to over 100 venture capitalists, angel investors, and strategics from the New York City, Boston, Philadelphia, and Washington D.C. areas.
^Moriarty, Erin (29 January 2015). "Monitoring Service Datadog Gets $31M in Funding". Sdxcentral.com. Archived from the original on 21 February 2015. Retrieved 16 November 2016. Last year, support was broadened to multiple cloud service providers, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and Red Hat OpenShift, and the company added OpenStack support as well. As of today, Datadog integrates monitoring and web operations data from almost 100 commonly used technologies in modern cloud applications.
US$2.13 billion (2023)
US$−33 million (2023)
