It has become increasingly clear that the rise of AI will not be positive for all tech stocks. The software sector has seen great volatility, but Datadog, Inc. ( DDOG ) has bucked the trend. Whereas, many names have struggled to show theJulian Lin is a financial analyst. He finds undervalued companies with secular growth that appreciate over time. His approach is to look for companies with strong balance sheets and management teams in sectors with long growth runways. Julian is the leader of the investing g ...

Datadog Announces Expanded Collaboration Agreement, Highlights New Capabilities with AWS Across AI, Observability and Security at AWS re:InventDatadog signs new Strategic Collaboration Agreement with AWS, building on 10+ years of joint innovation and outcomes for customersDecember 03, 2025 3:18 PM EST | Source: Datadog, Inc.Las Vegas, Nevada--(Newsfile Corp. - December 3, 2025) - Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today at AWS re:Invent a ...

Question-and-Answer SessionKarl KeirsteadUBS Investment Bank, Research Division So David, maybe we'll start. Like there were -- there are a number of things about your recent quarter that were really strong. Your core did better. Your AI native breadth widened out a little bit. You renewed that big contract. So a lot of good things to talk about. So let's take those in order. So I think one of the things that stood out to me was the strength in the core. So exiting out all the AI natives, the core accelera ...

Summary of Datadog Conference Call Company Overview - **Company**: Datadog (NasdaqGS: DDOG) - **Event**: 2025 Conference on December 02, 2025 Key Points Industry and Market Environment - Datadog operates in the cloud monitoring and observability software industry, which is experiencing a shift towards modernization and cloud migration [3][5][7] - The buying environment is described as constructive, with a focus on modernization of software stacks and cloud migration, which is expected to be a long-term tailwind for Datadog [4][7] Financial Performance - Datadog reported a strong quarter with broad-based growth, particularly in its core business, excluding AI-native revenues [3][4] - The company has seen an increase in new customer acquisitions and larger contracts, contributing to a strong net retention rate [3][4] - AI-native customers now represent 12% of total revenues, indicating successful penetration into this fast-growing segment [9][10] Product Suite and Adoption - Datadog's product suite includes core infrastructure monitoring, APM, log management, and digital experience, with parallel strength across these areas [8][9] - The digital experience segment has crossed $300 million in revenue, showcasing significant adoption [8] - Customers are increasingly consolidating their observability needs onto Datadog's platform, moving away from point solutions [8][9] Customer Dynamics - Datadog maintains a high gross retention rate of over 98% among large customers, indicating strong customer loyalty [22][24] - The company has over 500 AI-native customers, with more than 100 spending over $100,000 annually, and 15 spending over $1 million [14][15] - Contract structures for cloud-native and AI-native customers typically involve annual commitments, with opportunities for longer-term contracts as usage increases [16][17] Competitive Landscape - Datadog faces competition from companies like Chronosphere and open-source alternatives, but maintains a strong market position due to its comprehensive observability platform [27][29] - The acquisition of Chronosphere by Palo Alto Networks raised concerns, but Datadog believes it can coexist with competitors by offering a more complete solution [27][28] Pricing Strategy - Datadog employs a volume-based pricing model, which allows for lower unit prices as customers scale, while maintaining margins through a diverse customer base [30][31] - The company actively helps clients optimize their usage to avoid unexpected costs, enhancing customer satisfaction [31] Future Growth Opportunities - Datadog is focusing on expanding its Cloud SIEM and service management offerings, which are expected to drive significant revenue growth in the coming years [32] - The company has made strategic acquisitions in product analytics and data monitoring, positioning itself for future growth [32] Margin Guidance - Datadog aims to maintain long-term margins in the mid-20s while investing in growth opportunities, indicating a balanced approach to expansion and profitability [34][35] Conclusion - Datadog is well-positioned in the observability market, with strong financial performance, a growing customer base, and a comprehensive product suite that addresses the needs of modern cloud-native and AI-native companies [3][4][9][10]

Parkev Tatevosian, CFA has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Datadog. The Motley Fool has a disclosure policy. Parkev Tatevosian is an affiliate of The Motley Fool and may be compensated for promoting its services. If you choose to subscribe through his link, he will earn some extra money that supports his channel. His opinions remain his own and are unaffected by The Motley Fool. ...

Core Insights - Datadog has launched Bits AI SRE, an AI agent designed to autonomously investigate alerts and provide rapid remediation paths, significantly improving incident response times for organizations [1][5][6] Company Overview - Datadog is a monitoring and security platform for cloud applications, integrating various capabilities to provide real-time observability and security across technology stacks [7] Product Features - Bits AI SRE operates 24/7, analyzing telemetry and runbooks to identify root causes of alerts within minutes, thus allowing engineers to focus on building resilient systems rather than managing incidents [1][3][4] - The agent supports enterprise-scale operations, including HIPAA-regulated workloads, and features role-based access controls (RBAC) to ensure secure AI adoption [4] Market Impact - The launch of Bits AI SRE is seen as a significant expansion of Datadog's AI strategy, having been tested in over 2,000 customer environments, yielding positive outcomes in incident management [5][6] - Early adopters, such as Uber Freight, report improved clarity and reduced cognitive load during incidents, highlighting the agent's effectiveness in surfacing relevant information quickly [5][6]

We recently published 10 Best Strong Buy AI Stocks to Invest In.  Datadog, Inc. (NASDAQ:DDOG) is one of the best consumer cyclical stocks. Datadog, Inc. (NASDAQ:DDOG) is a software-as-a-service (SaaS) firm that enables software firms to monitor their cloud infrastructure and amalgamate the monitoring of different microservices under a single platform. The firm has a presence in the AI industry through its machine learning powered solutions for monitoring and its AI engine, Watchdog. The start of November ...

Core Viewpoint - The AI trade has been a significant driver in the stock market, but recent volatility has led investors to explore alternative opportunities outside the core AI theme [1][7]. Group 1: Analyst Insights - DA Davidson analyst Gil Luria remains bullish on AI overall but highlights strong potential in smaller tech stocks that are often overlooked [2][6]. - Luria emphasizes the focus on infrastructure software stocks as they are clear beneficiaries of AI usage without the perceived risks associated with application software companies [3][6]. Group 2: Recommended Stocks - Luria identifies three tech stocks: Snowflake, Datadog, and JFrog, which operate in the AI infrastructure and software space [2][4]. - Year-to-date performance for these stocks includes Snowflake at +62%, Datadog at +11%, and JFrog at +113%, with JFrog outperforming its peers and the Magnificent Seven [3][4]. Group 3: Market Dynamics - Luria believes that regardless of how enterprise customers build AI tools, they will require more data lakehouse capacity (Snowflake), more applications and infrastructure for observation (Datadog), and more binary code management (JFrog) [5][6]. - The continued growth of AI will benefit these companies as larger enterprises will always need their services to scale AI tools effectively [6].

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Core Insights - Datadog has appointed John Trapani as Field CTO for Financial Services to enhance its observability strategy for clients in the financial sector [1][2] - Trapani's extensive experience in product development for financial services will be instrumental in advancing Datadog's offerings [2][3] - The financial services industry is rapidly evolving, particularly with the rise of AI projects, necessitating a focus on digital transformation [2] Company Overview - Datadog is a monitoring and security platform for cloud applications, providing a unified observability and security solution for various technology stacks [5] - The platform integrates multiple capabilities including infrastructure monitoring, application performance monitoring, and cloud security [5] - Datadog serves organizations of all sizes across diverse industries, facilitating digital transformation and cloud migration [5] Leadership Background - John Trapani brings over 35 years of experience in software development and industry leadership, previously serving as Industry Leader of Financial Services at Appian Corporation [3] - His prior experience includes a 20-year tenure at Fitch Ratings, where he led application development teams and was responsible for core analytical platforms [3] Strategic Focus - The collaboration between Trapani and Datadog's sales, product, and marketing teams aims to address customer pain points and enhance value realization from their investments [2] - The emphasis on a unified observability and security platform is crucial for guiding financial services clients through their digital transformation journeys [2]