Datadog, publicly owned and headquartered in the US, was founded in 2010 and employs approximately 5,940 individuals. The company reported $3.4B in revenue as of 2025 and functions as a tier 1 media tech buyer. It specializes in software development, providing an observability and security platform for cloud-scale applications, offering monitoring services for developers, IT operations teams, and security engineers. The platform integrates metrics, traces, and logs from across the technology stack to provide end-to-end visibility into the health and performance of infrastructure, applications, and databases. Key services include Infrastructure Monitoring for real-time insights into servers and containers, Application Performance Monitoring (APM) for optimizing code-level execution, and Log Management for rapid troubleshooting and analysis. Additionally, Datadog offers specialized solutions for Cloud Security, Digital Experience Monitoring (DEM)—including real-user and synthetic monitoring—and AI-powered observability tools like Bits AI and Watchdog to automate anomaly detection and incident response. By consolidating these disparate data streams into a single unified dashboard with over 700 integrations, Datadog enables organizations to reduce mean time to resolution (MTTR) and maintain the reliability of their complex, hybrid-cloud environments.
Analysts expressed bullish sentiments toward Datadog on May 1, 2026. Specifically, a Benchmark Co. analyst reiterated a Buy rating, setting a $150.00 price target. The current analyst consensus for Datadog is a Strong Buy with an average price target of $178.45. For the quarter ending December 31, Datadog reported $953.19 million in revenue and a net profit of $46.57 million. Previously, on April 30, Datadog launched Reference Tables and Observability Pipelines, tools designed to add dynamically updating context to logs. These capabilities aim to help security and platform engineering teams with threat investigation, incident prioritization, and compliance by integrating context from various external sources, including threat intelligence feeds, asset lists, ownership data, and risk scores. Earlier on the same day, Datadog showcased its involvement in predictive autoscaling with AWS EKS AI, an advancement in Kubernetes infrastructure designed to proactively prevent performance lags before they impact users.
Datadog offers products in the connectivity and cloud and media tech industries. Datadog's product portfolio comprises of enterprise cloud, live production and video data and analytics.
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Datadog's revenues were $3.4B in 2025. Caretta Research has split Datadog's revenue into 4 different product categories, the largest of which is data harmonisation and management, which represents 25% of Datadog's revenue.
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Datadog's customers primarily consist of telecoms, enterprise cloud and broadcast Media Production and Distribution companies. Examples of Datadog's customers include Comcast Xfinity, SAS and Canal+ Group.
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