Datadog Stock Price, News & Analysis
Company Description
Datadog, Inc. (NASDAQ: DDOG) is described in its public communications as an observability and security platform for cloud applications. The company offers a SaaS platform that integrates and automates multiple monitoring and security capabilities so that customers can gain unified, real-time visibility into their technology environments. According to Datadog, organizations of many sizes and across a wide range of industries use its platform to support digital transformation and cloud migration, improve collaboration across technical and business teams, accelerate application delivery, reduce time to resolve problems, secure applications and infrastructure, understand user behavior, and track key business metrics.
Core platform and capabilities
Datadog states that its SaaS platform brings together infrastructure monitoring, application performance monitoring, log management, user experience monitoring,> and cloud security, among other capabilities, into a single environment. By integrating these data sources, the platform is designed to provide a unified view of customers’ entire technology stack, including cloud infrastructure, applications and user-facing experiences. Datadog also highlights its ability to ingest and analyze large volumes of machine-generated data in real time, enabling customers to monitor systems, investigate incidents and analyze trends.
In earlier descriptions, Datadog has been characterized as a cloud-native company focused on analyzing machine data, with products delivered as software-as-a-service. Its tools enable clients to monitor and analyze their IT infrastructure, from servers to applications and code-level components, and to use machine data across a variety of operational and business applications to support uptime and latency objectives.
Observability for cloud and AI workloads
Datadog’s public announcements emphasize observability for modern cloud environments. The company describes itself as a monitoring and security platform for cloud applications, and highlights support for public cloud providers such as Amazon Web Services and Oracle Cloud Infrastructure. Datadog reports that its platform can unify observability and security telemetry from multiple cloud providers into a single place, giving customers visibility into compute, networking, database performance and other layers of their environments.
Recent announcements also focus on AI and machine learning workloads. Datadog has discussed AI observability and security products, AI-related integrations, and capabilities designed to help customers monitor AI workloads, manage costs and detect misconfigurations. The company has referenced a stack of AI observability and security products and has highlighted integrations related to AI services and GPU monitoring, positioning its platform as a way to manage next-generation workloads at scale.
Security and cloud cost-focused capabilities
Datadog describes several security-focused capabilities within its platform, including cloud security and Cloud SIEM features that bring security telemetry from cloud environments into Datadog. These capabilities are intended to help teams detect and investigate threats across cloud infrastructure and applications. The company has also referenced AI security features intended to detect misconfigurations related to certain AI services.
On the cost side, Datadog has discussed Cloud Cost Management and related offerings that provide visibility into cloud spending and usage. In particular, the company has announced a product called Storage Management, which it says delivers granular visibility into cloud object storage at bucket and prefix levels. According to Datadog, Storage Management is designed to help teams eliminate waste and prevent unexpected cloud object storage spending by providing detailed insights, anomaly detection and targeted optimization recommendations.
Digital experience monitoring and user behavior
Datadog has been recognized in external research for its Digital Experience Monitoring (DEM) capabilities, and the company highlights a DEM suite that includes Synthetic Monitoring and Testing, Real User Monitoring (RUM), Product Analytics, Session Replay and Error Tracking. These tools are described as providing a single source of truth for frontend monitoring data, enabling customers to better understand user activity and troubleshoot frontend issues.
Datadog also references an offering called RUM Without Limits, described as combining detailed insights from complete traffic with filtering tools that help teams uncover trends, detect issues and manage costs. Through these capabilities, Datadog positions its platform as a way for organizations to improve digital experiences, understand user behavior and measure the business impact of changes to applications and services.
AI agents and automation
Datadog has introduced a suite of AI capabilities referred to as Bits AI. Within this suite, the company has launched Bits AI SRE, which it describes as an AI agent that is aware of telemetry, architecture and organizational context. According to Datadog, Bits AI SRE investigates alerts, analyzes runbooks and telemetry, proposes hypothetical root causes, validates its findings and delivers conclusions to collaboration tools. The company presents this as a way to help engineers resolve incidents faster, save engineering time and reduce the impact of production issues on end users and businesses.
Datadog indicates that Bits AI SRE is designed for enterprise scale and notes support for certain regulated workloads, role-based access controls and enterprise contracts with AI partners. The company characterizes this launch as part of a broader AI strategy aimed at intelligent, automated reliability, with AI agents working across monitoring, development and security workflows.
Ecosystem, integrations and partnerships
Datadog frequently emphasizes the breadth of its integrations ecosystem. In its financial communications, the company has highlighted reaching a milestone of about 1,000 integrations on its unified platform. In connection with its collaboration with Amazon Web Services, Datadog has cited more than 1,000 total integrations, including a significant number specific to AWS services, which customers use to monitor their AWS environments.
The company also describes expanded support for Oracle Cloud Infrastructure (OCI), including integrations for GPU Monitoring, Cloud Cost Management and Cloud SIEM. These integrations are presented as helping customers gain full-stack visibility and security across OCI environments, particularly for AI and machine learning workloads. Datadog’s communications further reference collaborations and solution availability through cloud marketplaces and partner programs.
Customer use cases and organizational impact
According to Datadog’s own descriptions, organizations adopt its platform to support several recurring themes: enabling digital transformation and cloud migration, driving collaboration among development, operations, security and business teams, accelerating time to market for applications, reducing time to problem resolution, securing applications and infrastructure, understanding user behavior and tracking key business metrics. Customer comments cited by Datadog describe the platform as providing a unified view of cloud environments, correlating data from multiple systems and helping teams troubleshoot incidents more quickly.
Datadog also notes that its platform is used by organizations of various sizes and across many industries, including sectors such as financial services and the public sector, where it has referenced efforts to meet specific security and compliance expectations. Through these use cases, the company presents its observability and security platform as a central tool for managing complex, cloud-based and digitally driven operations.
Stock listing and regulatory profile
Datadog, Inc. is registered with the U.S. Securities and Exchange Commission and files reports and current reports such as Forms 10-Q, 10-K and 8-K. According to its SEC filings, the company’s Class A common stock, with a stated par value per share, trades on The Nasdaq Stock Market LLC (Nasdaq Global Select Market) under the ticker symbol DDOG. The company provides updates on its financial results, board composition and other material events through these filings and associated press releases.
How Datadog describes its role in the market
Across its public materials, Datadog consistently characterizes itself as a unified observability and security platform for cloud applications. It emphasizes the integration of infrastructure, application, log, user experience and security data, the ability to analyze machine-generated data in real time, and support for modern cloud and AI workloads. The company’s own statements focus on helping customers improve reliability, manage costs, enhance security, and deliver better digital experiences as they adopt and expand cloud-based technologies.
Stock Performance
Datadog (DDOG) stock last traded at $124.30, up 0.54% from the previous close. Over the past 12 months, the stock has gained 15.1%. At a market capitalization of $43.6B, DDOG is classified as a large-cap stock with approximately 353.9M shares outstanding.
Latest News
Datadog has 10 recent news articles, with the latest published 3 days ago. Of the recent coverage, 8 articles coincided with positive price movement and 2 with negative movement. Key topics include AI, partnership, management, conferences, earnings. View all DDOG news →
SEC Filings
Datadog has filed 5 recent SEC filings, including 2 Form 4, 2 Form 144, 1 Form SCHEDULE 13G/A. The most recent filing was submitted on March 26, 2026. SEC filings provide transparency into a company's financial condition, material events, and regulatory compliance. View all DDOG SEC filings →
Insider Radar
Insider selling at Datadog over the past 90 days can reflect routine portfolio management, scheduled trading plans (Rule 10b5-1), tax planning, or compensation-related dispositions rather than a directional view on the stock.
Financial Highlights
Datadog generated $3.4B in revenue over the trailing twelve months, retaining a 80.0% gross margin, operating income reached -$44.4M (-1.3% operating margin), and net income was $107.7M, reflecting a 3.1% net profit margin. Diluted earnings per share stood at $0.31. The company generated $1.1B in operating cash flow. With a current ratio of 3.38, the balance sheet reflects a strong liquidity position.
Upcoming Events
DASH 2026 conference
Datadog has 1 upcoming scheduled event. The next event, "DASH 2026 conference", is scheduled for June 9, 2026 (in 74 days). Investors can track these dates to stay informed about potential catalysts that may affect the DDOG stock price.
Short Interest History
Short interest in Datadog (DDOG) currently stands at 9.3 million shares, up 7.6% from the previous reporting period, representing 2.9% of the float. This relatively low short interest suggests limited bearish sentiment.
Days to Cover History
Days to cover for Datadog (DDOG) currently stands at 1.4 days, down 17.5% from the previous period. This low days-to-cover ratio indicates high liquidity, allowing short sellers to quickly exit positions if needed. The days to cover has decreased 49.3% over the past year, suggesting improved liquidity for short covering. The ratio has shown significant volatility over the period, ranging from 1.0 to 3.3 days.
DDOG Company Profile & Sector Positioning
Datadog (DDOG) operates in the Software - Application industry within the broader Services-prepackaged Software sector and is listed on the NASDAQ.
Investors comparing DDOG often look at related companies in the same sector, including Paychex Inc (PAYX), Atlassian Corp Plc (TEAM), Workday Inc (WDAY), Roper Techno (ROP), and Autodesk (ADSK). Comparing financial metrics, valuation ratios, and stock performance across these peers can help investors evaluate DDOG's relative position within its industry.