Datadog

Last updated

Datadog, Inc.
Company type Public
Industry System Monitoring
Founded2010;14 years ago (2010), in New York City
Founders
  • Olivier Pomel
  • Alexis Lê-Quôc
Headquarters New York City, New York, U.S.
Area served
Worldwide
Key people
  • Olivier Pomel (CEO)
  • Alexis Lê-Quôc (CTO)
ProductsDatadog
RevenueIncrease2.svg US$2.13 billion (2023)
Increase Negative.svgUS$−33 million (2023)
Increase2.svgUS$48.6 million (2023)
Total assets Increase2.svgUS$3.94 billion (2023)
Total equity Increase2.svgUS$2.03 billion (2023)
Number of employees
5,200 (2023)
Website datadoghq.com
Footnotes /references
[1]
Datadog at Google Cloud Summit DatadogGoogleCloudSummit.jpg
Datadog at Google Cloud Summit

Datadog, Inc. provides an observability and security SaaS platform for cloud applications. The platform helps corporations monitor servers, databases, software tools, and infrastructure services. [2]

Contents

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. [3]

History

Founding Years

Datadog was founded in New York City in 2010 [4] by Olivier Pomel [5] and Alexis Lê-Quôc, [6] 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. [7]

Company Growth

In 2015, Datadog opened a research and development office in Paris. [8]

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. [9] 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. [10]

In June 2011, Datadog opened its headquarters in New York City, United States.

In June of 2014, Datadog opened its office in Boston, United States.

In April of 2016, Datadog opened its office in Paris, France.

In December 2018, Datadog opened its office in Dublin, Ireland.

In February 2022, Datadog opened its office in Denver, United States.

In February 2022, Datadog opened it’s office San Francisco, United States.

In July 2022, Datadog opened its office in Amsterdam, Netherlands.

In May 2023, Datadog opened its office in Tokyo, Japan.

In June 2023, Datadog opened its office in Barangaroo, Australia.

In February 2024, Datadog opened its office in Singapore, Singapore.

Acquisitions

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 enable a more comprehensive approach to application security. [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]

Products

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.

Logs

Datadog Log Management [29] 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, [30] 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 [31] 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.

Applications

Datadog provides a comprehensive suite of monitoring capabilities to optimize application performance and manage services and databases. Its offerings include Application Performance Monitoring (APM) [32] with code-level distributed tracing, Universal Service Monitoring (USM) [33] for instant visibility into service health, and Continuous Profiler [34] 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 [35] while its Service Catalog manages service ownership at scale and helps to quickly identify dependencies in complex, microservice-based applications. [36] These features enable organizations to gain insights, troubleshoot effectively, and optimize their infrastructure.

Security

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 [37] for real-time threat monitoring in microservice-based applications, Cloud Security Management [38] for real-time threat detection and configuration audits, and Cloud SIEM [39] for enhanced threat detection in dynamic cloud environments. These solutions help organizations maintain system security and address security challenges in cloud-scale environments.

Digital Experience

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. [40] [41] [42] [43] Synthetic Monitoring [44] [45] allows proactive testing to identify performance issues.

Session Replay [46] and Error Tracking [47] 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.

Software Capabilities

Datadog provides visibility and testing capabilities to enhance continuous integration (CI) environments and automate software testing throughout the product lifecycle. Its CI Visibility [48] feature offers deep insights into CI environments, enabling analysis of problematic builds and executions for workflow optimization. Through Continuous Testing, [49] 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.

Platform Capabilities

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. [50] Watchdog uses machine learning for proactive monitoring, and the alerting system ensures timely response to critical issues. [51] [52] Incident Management facilitates structured incident response workflows, and the platform supports integrations and an API for seamless integration and automation. [53] These features help organizations streamline workflows, improve visibility, and centralize monitoring and incident management efforts.

Technology

Datadog uses a Go-based agent, rewritten from scratch since its major version 6.0.0 released on February 28, 2018. [54] It was formerly Python-based, [55] forked from the original created in 2009 by David Mytton [56] 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. [57]

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.

Datadog high-level architecture Datadog high-level architecture.svg
Datadog high-level architecture

Funding

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. [58] In 2014, Datadog raised a $15 million Series B round led by OpenView Venture Partners, [59] followed by a $31 million Series C round led by Index Ventures in 2015. [60] Datadog opened 2016 with a $94.5 million Series D round led by ICONIQ Capital, [61] one of the largest funding rounds for a New York City company during that year. [62]

Datadog went public on the Nasdaq exchange on September 19, 2019, selling 24 million shares and raising $648 million. [63]

Reception

Datadog was listed in Forbes' Cloud 100 [64] and was ranked in the top ten fastest growing companies in North America in Deloitte's 2016 Fast 500 List. [65] In both 2015 [66] and 2016, [67] 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 [68] and Business Insider's 51 enterprise startups to bet your career on in 2017. [69] BuiltIn named it Boston's 5th top company to work for in 2019. [70]

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