Datadog

Technology

Datadog uses an open-source agent written in Python for gathering metrics and events. Its backend is built using a number of open and closed source technologies including D3, Apache Cassandra, Kafka, PostgreSQL, etc.

In 2014, Datadog support was broadened to multiple cloud service providers including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform and Red Hat OpenShift. Today, the company supports over 150 integrations out-of-the-box.

History

Datadog was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, who met while working at Wireless Generation. After Wireless Generation was acquired by NewsCorp, the two set out to create a product that could reduce the friction they experienced between developer and system-admin teams, who were often working at cross-purposes.

They built Datadog to be a complete cloud infrastructure monitoring service, with an intuitive dashboard, effective alerting, and helpful visualizations of key metrics. As cloud adoption increased, Datadog grew rapidly and expanded its product offering to cover service providers including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Red Hat OpenShift, and OpenStack.

In 2015 Datadog announced the acquisition of Mortar Data, bringing on its team and adding its data and analytics capabilities to Datadog’s platform. That year Datadog also opened a research and development office in Paris, putting its resources towards developing new technologies and services for its customers.

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. Datadog further cemented its leadership position in the cloud monitoring space with the beta-release of Application Performance Monitoring in 2016, offering for the first time a full-stack monitoring solution.

Funding

As of 2017, Datadog has raised five rounds of funding, totalling $147.9M. In 2010 Datadog launched with a seed round, and in 2012 it raised a $6.2M Series A round co-led by Index Ventures and RTP Ventures. In 2014 Datadog raised a $15M Series B round led by OpenView Venture Partners, followed by a $31M Series C round led by Index Ventures in 2015. Datadog opened 2016 with a $94.5M Series D round led by ICONIQ Capital, one of the largest funding rounds for a New York City company during that year.

Product

Datadog helps developers and operations teams see their full infrastructure – cloud, servers, apps, services, metrics, and more – all in one place. This includes real-time interactive dashboards that can be customized to a team’s specific needs, full-text search capabilities for metrics and events, sharing and discussion tools so teams can collaborate using the insights they surface, targeted alerts for critical issues, and API access to accommodate unique infrastructures.

Datadog also integrates with various cloud, enterprise, and developer software tools out of the box, so established team workflows will be unchanged and uninterrupted when adopting Datadog’s service.

Reception

Datadog has received a number of accolades since its inception. It was listed in Forbes’ Cloud 100 and was ranked in the top ten fastest growing companies in North America in Deloitte’s 2016 Fast 500 List. In both 2015 and 2016, 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 and Business Insider’s 51 enterprise startups to bet your career on in 2017.