Datadog Inc.

• Datadog Inc.
• Technology

DDOG

Datadog is the monitoring and analytics platform for developers, IT operations teams and business users in the cloud age.

Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations and business teams, accelerate time to market for applications, reduce time to problem resolution, understand user behavior and track key business metrics.

Software applications are transforming how organizations engage with customers and operate their businesses. Companies across all industries are re-platforming their businesses to cloud infrastructures to enable this digital transformation. Historically, engineering teams have been siloed, making the development of next generation applications on dynamic cloud environments challenging. We started Datadog to break this model and facilitate collaboration among development and operations teams, enabling the adoption of DevOps practices. Since then we have continuously pushed to unify separate tools into an integrated monitoring and analytics platform, readily available to everyone who cares about applications and their impact on business.

From our founding goal of breaking down silos between Dev and Ops, we set out in 2010 to build a real-time data integration platform to turn chaos from disparate sources into digestible and actionable insights. In 2012, we launched our first use case with infrastructure monitoring, purpose-built to handle increasingly ephemeral cloud-native architectures. This enabled us to be deployed on our customers’ entire cloud IT environments and gave our product broad usage across Dev, Ops and business teams, in turn allowing us to address a bigger set of challenges through our platform. In 2017 we launched our APM product, designed to be broadly deployed in very distributed, micro-services architectures. In 2018, we were the first to combine the “three pillars of observability” with the introduction of our log management product. To allow for full-stack observability, in 2019, we launched user experience monitoring and announced network performance monitoring. Today, we offer end-to-end monitoring and analytics, powered by a common data model that is extensible for potential new use cases.

Our proprietary platform combines the power of metrics, traces and logs to provide a unified view of infrastructure and application performance and the real-time events impacting this performance. Datadog is designed to be cloud agnostic and easy to deploy, with hundreds of out-of-the-box integrations, a built-in understanding of modern technology stacks and endless customizability. Customers can deploy our platform across their entire infrastructure, making it ubiquitous and a daily part of the lives of developers, operations engineers and business leaders.

We employ a land-and-expand business model centered around offering products that are easy to adopt and have a very short time to value. Our customers can expand their footprint with us on a self-service basis. Our customers often significantly increase their usage of the products they initially buy from us and expand their usage to other products we offer on our platform. We grow with our customers as they expand their workloads in the public and private cloud. Our ability to expand within our customer base is best demonstrated by our dollar-based net retention rate. As of June 30, 2018 and 2019, our dollar-based net retention rate was 146%, and as of December 31, 2017 and 2018, it was 141% and 151%, respectively. See “Management’s Discussion and Analysis of Financial Condition and Results of Operations—Factors Affecting Our Performance” for additional information regarding our dollar-based net retention rate. 

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