Datadog, Inc. (NASDAQ:DDOG) KeyBanc Capital Markets Technology Leadership Forum Conference August 12, 2025 1:00 PM ET Company Participants David M. Obstler - Chief Financial Officer Conference Call Participants Unidentified Analyst David M. Obstler Weather is perfect. The breakfast was delicious. Unidentified Analyst View is outstanding. David M. Obstler Yes. View's outstanding. Yes, no complaints. All right. Good to go. All right. Thank you, everybody, for being here, Day 2. I'm very excited to have David ...

Financial Data and Key Metrics Changes - Revenue for Q2 was $827 million, representing a 28% year-over-year increase and exceeding the high end of guidance [8][28] - Free cash flow was $165 million, with a free cash flow margin of 20% [9][34] - Gross profit was $669 million, resulting in a gross margin of 80.9%, compared to 80.3% in the previous quarter [32][34] - Operating income was $164 million, with an operating margin of 20%, down from 22% in the previous quarter [33][34] Business Line Data and Key Metrics Changes - The number of customers increased to approximately 31,400, up from about 28,700 a year ago [8] - 83% of customers used two or more products, and 52% used four or more products, indicating strong platform adoption [10] - The security suite generated over $100 million in ARR, growing at a mid-forties percent year-over-year rate [11] Market Data and Key Metrics Changes - AI native customers contributed about 11% of Q2 revenues, up from 8% in the previous quarter [28] - The twelve-month trailing net retention percentage was about 120, higher than the high 110s from the last quarter [29] Company Strategy and Development Direction - The company continues to focus on digital transformation and cloud migration as long-term growth drivers [23] - There is a strong emphasis on AI integration into the platform, with new AI products launched to enhance observability and incident response [26][27] - The company aims to improve standardized adoption of security products across large enterprises [55] Management's Comments on Operating Environment and Future Outlook - Management views the demand environment as solid, with low churn and stable gross revenue retention in the mid to high 90s [8] - The company is optimistic about the growth opportunities presented by AI, with expectations of broader adoption across various industries [24][25] - Management acknowledges potential volatility in revenue growth from AI native customers but remains confident in long-term growth [52] Other Important Information - The company held its DASH user conference, announcing over 125 new products and features [12] - The company ended the quarter with $3.9 billion in cash, cash equivalents, and marketable securities [34] Q&A Session Summary Question: AI contribution and market opportunity - Management discussed the layers of AI opportunity, emphasizing the need for observability in applications that are increasingly non-deterministic [41][44] Question: Sales capacity and productivity - Management confirmed successful ramping of sales capacity and productivity, with evidence of new logo production and pipeline growth [47] Question: Guidance and potential volatility - Management indicated that current growth metrics do not show volatility yet, but they remain cautious due to potential future fluctuations [52] Question: Security product adoption - Management expressed satisfaction with the current adoption of security products but acknowledged the need for broader enterprise-wide adoption [55] Question: Trends in customer demographics - Management noted stable growth in enterprise customers, with gradual improvements in SMB usage [59] Question: FlexLogs progress - Management confirmed that all major deals with enterprise customers now involve FlexLogs, which is resonating well with customers [95]

Core Insights - Datadog is a platform designed for production engineers and DevOps to monitor the creation, deployment, and functioning of software applications, primarily in cloud environments [2][3] - The platform helps in reducing latency and maximizing uptime, ensuring optimal customer interaction with applications [3] - Over the years, Datadog has expanded its offerings from infrastructure monitoring to a comprehensive range of products including application monitoring, code monitoring, logs, and security [4] Company Overview - Datadog addresses critical business needs by providing monitoring solutions for customer-facing software applications [2] - The company utilizes modern technologies such as containers, serverless architecture, and increasingly artificial intelligence in its platform [2][4] - Datadog's investment in product development has led to a diverse portfolio of monitoring tools that cater to various aspects of software performance [4]

Summary of Datadog (DDOG) 2025 Conference Call Company Overview - **Company**: Datadog - **Industry**: Cloud Monitoring and Observability - **Core Function**: Provides a platform for production engineers and DevOps to monitor software applications, focusing on cloud-based and modern technology environments [3][4] Key Points and Arguments Current Market Position - Datadog has evolved from infrastructure monitoring to a comprehensive platform that includes application monitoring, security, and AI capabilities [4][5] - The company aims to be the "single pane of glass" for managing and remediating applications [4] Pain Points Addressed - The primary challenge for customers is the complexity and speed of application deployment in cloud environments, necessitating transparency and optimization [5][6] - Datadog's platform provides visibility into all factors affecting application performance, enabling better optimization and remediation [5] AI Integration and Growth - Datadog is experiencing significant growth from AI-native companies, which are rapidly innovating and expanding their workloads [8][9] - The company has introduced products specifically for monitoring large language models, reflecting the increasing complexity of applications [9][10] - AI-related revenue is growing faster than non-AI segments, driven by increased investment in AI technologies [12][14] Cloud Migration Trends - A significant portion of applications remains on legacy systems, with only 20-30% currently in the cloud [36] - Datadog's growth is attributed to the ongoing migration of applications to cloud environments and the consolidation of its product offerings [37][42] Customer Base and Expansion - Datadog serves 45% of the Fortune 500, with a focus on expanding within these enterprises through a "land and expand" strategy [44][45] - The company has a strong enterprise sales team and is investing in marketing and channel relationships to drive growth [45] Security Strategy - Datadog is building its security business around the concept of DevSecOps, integrating security into its observability platform [51][52] - The security segment is still developing, with potential for significant growth given the large total addressable market (TAM) [64][65] Financial Metrics - Datadog's revenue growth is primarily driven by existing customer expansion (75-80%) and new customer acquisition (20-25%) [71] - Gross margins are expected to remain around 80%, with fluctuations based on workload management and new product introductions [76][80] - The company aims for operating margins of 25%+, focusing on maximizing long-term cash flow [85][86] Additional Insights - Datadog is actively working on improving its cloud operations to better manage costs associated with spiky usage patterns [78][79] - The company is cautious about its federal business, which is currently a small part of its overall strategy but may grow as government agencies modernize their infrastructure [49][50] - FlexLogs, a new product line, has shown rapid growth, indicating successful penetration into new use cases [68][69] This summary encapsulates the key insights from the Datadog conference call, highlighting the company's strategic focus, market dynamics, and financial performance.