Company type | Public |
---|---|
| |
Industry | System Monitoring |
Founded | 2010 | , in New York City
Founders |
|
Headquarters | New York City, New York, U.S. |
Area served | Worldwide |
Key people | |
Products | Datadog |
Revenue | US$2.13 billion (2023) |
US$−33 million (2023) | |
US$48.6 million (2023) | |
Total assets | US$3.94 billion (2023) |
Total equity | US$2.03 billion (2023) |
Number of employees | 5,200 (2023) |
Website | datadoghq |
Footnotes / references |
Datadog, Inc. provides an observability and security SaaS platform for cloud applications. The platform helps corporations monitor servers, databases, software tools, and infrastructure services.
Datadog's platform consolidates comprehensive traces, metrics, and logs to enable full observability of applications, infrastructure, and third-party services. These functionalities assist businesses in safeguarding their systems, preventing disruptions, and ensuring an excellent user experience.
Datadog was founded in New York City 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 would reduce the friction they experienced between developer and systems administration teams, who were often working at cross-purposes.
They built Datadog to be a cloud infrastructure monitoring service, with dashboards, alerting, and visualizations of metrics. As cloud adoption increased, Datadog grew rapidly and expanded its product offerings to cover service providers including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Red Hat OpenShift, VMware, 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.
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. In 2019, Madumbo, an AI-based application testing platform, joined Datadog.
In August 2022, Datadog acquired Seekret, an API observability company.
In November 2022, it was announced Datadog had acquired the New York-based visualization service for cloud and system architects, Cloudcraft, for an undisclosed sum.
Datadog offers a range of monitoring services to support engineering teams in effectively managing their cloud or hybrid environments. These services include Infrastructure Monitoring, Network Performance Monitoring, 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 Log Management is designed to bring together logs, metrics, and traces, enabling users to conduct detailed analysis of their technology stack and gain insights. To ensure compliance and protect sensitive information, Datadog provides Sensitive Data Scanner, a real-time solution for identifying and masking sensitive data. Additionally, Datadog’s Audit Trail feature enables organizations to monitor and track activities within the platform, enhance transparency and meet regulatory requirements. Datadog's Observability Pipelines offer a scalable solution for collecting and directing logs, metrics, and traces, facilitating efficient observability across an organization's infrastructure. Together, these services contribute to improved log management, compliance, security, and observability for businesses utilizing Datadog's platform.
Datadog provides a comprehensive suite of monitoring capabilities to optimize application performance and manage services and databases. Its offerings include Application Performance Monitoring (APM) with code-level distributed tracing, Universal Service Monitoring (USM) for instant visibility into service health, and Continuous Profiler for code performance analysis.
Its Datastreams Monitoring enables DevOps teams to easily track and improve the performance of event-driven applications that use Kafka and RabbitMQ while its Service Catalog manages service ownership at scale and helps to quickly identify dependencies in complex, microservice-based applications. These features enable organizations to gain insights, troubleshoot effectively, and optimize their infrastructure.
Datadog provides security management solutions to protect applications and cloud infrastructures. Its offerings include: Endpoint Security for comprehensive endpoint protection, Software Composition Analysis for proactive identification and mitigation of vulnerabilities, Application Security Management for real-time threat monitoring in microservice-based applications, Cloud Security Management for real-time threat detection and configuration audits, and Cloud SIEM for enhanced threat detection in dynamic cloud environments. These solutions help organizations maintain system security and address security challenges in cloud-scale environments.
Datadog offers monitoring tools to enhance application visibility and performance from a real user perspective. Its Real User Monitoring (RUM) provides insights into frontend performance for a better user experience. Synthetic Monitoring allows proactive testing to identify performance issues.
Session Replay and Error Tracking features enable efficient troubleshooting and issue resolution for improved application stability and user experience. These tools help organizations gain insights, improve performance, and optimize the user experience.
Datadog provides visibility and testing capabilities to enhance continuous integration (CI) environments and automate software testing throughout the product lifecycle. Its CI Visibility feature offers deep insights into CI environments, enabling analysis of problematic builds and executions for workflow optimization. Through Continuous Testing, organizations can automate and streamline testing processes, ensuring consistent quality and faster release cycles. These capabilities empower organizations to gain insights, optimize workflows, and efficiently deliver high-quality software.
Datadog offers collaboration, data analysis, issue resolution, and automation capabilities within its platform. CoScreen enables real-time collaboration for distributed teams, while dashboards provide centralized data analysis. Watchdog uses machine learning for proactive monitoring, and the alerting system ensures timely response to critical issues. Incident Management facilitates structured incident response workflows, and the platform supports integrations and an API for seamless integration and automation. These features help organizations streamline workflows, improve visibility, and centralize monitoring and incident management efforts.
Datadog uses a Go-based agent, rewritten from scratch since its major version 6.0.0 released on February 28, 2018. It was formerly Python-based, 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 600 integrations.
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. In 2014, Datadog raised a $15 million Series B round led by OpenView Venture Partners, followed by a $31 million Series C round led by Index Ventures in 2015. Datadog opened 2016 with a $94.5 million Series D round led by ICONIQ Capital, one of the largest funding rounds for a New York City company during that year.
Datadog went public on the Nasdaq exchange on September 19, 2019, selling 24 million shares and raising $648 million.
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. BuiltIn named it Boston's 5th top company to work for in 2019.
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.
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.
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