Datadog is a monitoring service for cloud-scale applications, bringing together data from servers, databases, tools, and services to present a unified view of an entire stack. These capabilities are provided on a SaaS-based data analytics platform.
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Technology
Datadog uses a Python based, open-source agent forked from the original created in 2009 by David Mytton 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.
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.
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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 cloud infrastructure monitoring service, with an dashboard, alerting, and visualizations of 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 announced the beta-release of Application Performance Monitoring in 2016, offering for the first time a full-stack monitoring solution. As of 2017, the company has close to 300 employees, the vast majority of which are located in the US (with offices in Manhattan, Boston, and Baltimore) and a new R&D facility in Paris.
In 2017 Datadog acquired the Paris-based Logmatic.io, a platform-agnostic service for querying and visualizing logs to monitor and troubleshoot online services.
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.
Reception
Datadog 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.
References
External links
- Official website
- Datadog on Crunchbase
- 451 Research: Datadog raises $31m C round to fund next wave of growth
- 451 Research: Datadog expands its analytics capabilities with the acquisition of Mortar Data
- Real-time Data Analytics: Lessons Learned at Datadog
Source of the article : Wikipedia
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