Financial Data and Key Metrics Changes - The meeting reported that proxies were received for approximately 91% of the aggregate voting power of the outstanding shares, indicating strong shareholder engagement [4]. Business Line Data and Key Metrics Changes - No specific business line data or key metrics were discussed during the meeting. Market Data and Key Metrics Changes - No specific market data or key metrics were discussed during the meeting. Company Strategy and Development Direction and Industry Competition - The company is focused on the election of directors and the approval of executive compensation, indicating a commitment to governance and management accountability [7][8]. Management's Comments on Operating Environment and Future Outlook - Management did not provide specific comments on the operating environment or future outlook during the meeting. Other Important Information - The meeting included the ratification of Deloitte and Touche LLP as the independent registered public accounting firm for the fiscal year ending December 31, 2025, which reflects the company's commitment to maintaining high standards of financial oversight [8][11]. Q&A Session Summary Question: Were there any questions submitted by shareholders? - No questions were submitted during the Q&A session, leading to the adjournment of the meeting [14][15].

Core Insights - BofA Securities analyst Brad Sills reported a decline in software spending growth intentions for the second half of 2025 and 2026, with expected growth rates of +9.9% for 2025 and +10.8% for 2026, down from previous estimates [2] Software Spending Trends - The survey indicates a healthy pipeline for new software projects in 2026, with Data Analytics regaining the top spending priority, followed by Cloud Communications and Videoconferencing, and Security in third place [3] - Categories with higher spending expectations include observability and financials/ERP, while front-office applications like CRM Sales, Marketing, and Support scored lower due to firms reassessing AI priorities [4] AI Investment Insights - Infrastructure and Back Office are identified as the top software categories for AI investment, with Back Office seeing the largest increase since the last survey [5] - After LLMs, Workday Inc was the most selected for Back Office investments, while Salesforce Inc led in front-office AI offerings [5][6] Vendor Preferences - Amazon, Microsoft, and Alphabet's Google were the most frequently selected vendors for AI in infrastructure, while Adobe Inc remains the market leader in AI investments for desktop applications [6][7] - Hiring expectations for 2025 are down, with recession fears impacting spending plans more than tariffs [7]

Core Insights - Datadog AI Research has launched two significant projects: Toto, an open-weights foundation model for observability, and BOOM, the largest public benchmark for observability metrics [1][2][4] Group 1: Datadog AI Research Initiatives - Toto is the first open-source foundation model focused on observability, trained on Datadog's internal telemetry metrics, achieving superior performance compared to existing time series foundation models (TSFMs) [2][3] - BOOM provides a comprehensive benchmark with 350 million observations across 2,807 real-world multivariate series, addressing unique challenges in production telemetry [4][5] Group 2: Technical Features and Benefits - Toto's zero-shot forecasting capability allows for immediate anomaly detection and capacity planning without the need for per-series tuning, which is essential for monitoring billions of ephemeral time series [3][5] - BOOM serves as an actively maintained resource for the research community, facilitating advancements in forecasting models specific to observability metrics [4][6] Group 3: Future Directions and Collaboration - Datadog AI Research aims to continuously release AI projects and collaborate with applied AI teams to develop tools that address customer challenges and enhance engineering workflows [5][6] - The open-source nature of Toto and BOOM invites contributions from the research and open-source software communities to advance observability forecasting [6]

Core Insights - Datadog is advancing towards achieving FedRAMP High authorization, which will enhance federal agencies' ability to monitor, secure, and optimize critical applications and infrastructure [1][2][3] - The company aims to align with federal modernization and digital transformation initiatives by providing a unified platform for observability and security [2][3] - Being 'In Process' indicates that Datadog is actively working on obtaining full FedRAMP authorization, which involves stringent security controls for sensitive data protection [3] Company Overview - Datadog is a monitoring and security platform for cloud applications, offering a SaaS solution that integrates various monitoring capabilities to provide real-time observability and security [5] - The platform is designed to support organizations of all sizes across different industries, facilitating digital transformation and cloud migration [5]

Core Viewpoint - The Nasdaq-100 index includes innovative companies like Datadog and The Trade Desk, which are currently trading below their recent highs but still present attractive long-term growth prospects [1] Datadog - Datadog's shares are down 17% year to date, but the company has seen a rebound following strong earnings reports [2] - The company reported a 25% year-over-year revenue growth to $762 million in Q1, alleviating concerns about software spending due to potential economic downturns [5] - High demand for AI monitoring tools is driving growth, with Datadog signing 11 deals worth at least $10 million each in the quarter [6][7] - Datadog's revenue is currently $2.8 billion, serving a market projected to reach $81 billion by 2028, indicating significant growth potential [9] The Trade Desk - The Trade Desk, a leading digital ad-buying platform, has experienced a 34.5% decline in shares year to date but has shown recovery with a 29% increase since its earnings report on May 8 [2][13] - The company reported a 25% year-over-year revenue growth in Q1, indicating healthy ad spending on its platform despite earlier concerns about a slowdown in the ad market [13] - The Trade Desk is capitalizing on the $1 trillion ad market with its Unified ID 2.0 and AI-powered Kokai platform, which enhances ad performance measurement and improves returns on ad spending [14] - The stock's forward price-to-earnings ratio has decreased to 44, making it more attractive for investors compared to earlier in the year [15] - Analysts project an annualized earnings growth rate of 31% for The Trade Desk, suggesting strong long-term returns for investors [16]

Core Viewpoint - Snowflake (SNOW) and Datadog (DDOG) are significant players in the cloud computing sector, focusing on data analytics and observability solutions, respectively [1][2]. Industry Overview - The global cloud computing market was valued at $752.44 billion in 2024 and is projected to grow at a CAGR of 20.4% from 2025 to 2030, presenting substantial growth opportunities for both SNOW and DDOG [2]. Snowflake (SNOW) Analysis - SNOW has a net revenue retention rate of 126% as of January 31, 2025, indicating strong platform adoption and usage [3]. - The number of customers generating over $1 million in revenue increased from 455 to 580 between January 31, 2024, and January 31, 2025 [3]. - SNOW's customer base grew from 9,384 to 11,159 in the same period, with 745 customers from the Forbes Global 2000 contributing to 45% of its fiscal 2025 revenues of $3.6 billion, a 29% increase from fiscal 2024 [4]. - In April 2025, SNOW enhanced its AI Data Cloud by integrating capabilities with Apache Iceberg tables, improving query performance and data sharing [5]. - SNOW expanded its AI Data Cloud with automotive-specific solutions in May 2025, driving digital transformation and AI innovation [6]. Datadog (DDOG) Analysis - DDOG reported 3,770 customers with an annual run rate (ARR) of $100,000 or more in Q1 2025, up from approximately 3,340 in the previous year, accounting for 88% of total ARR [7]. - New products like Flex Logs and Database Monitoring quickly achieved $50 million in ARR in Q1 2025, indicating strong demand for advanced log management [8]. - DDOG's acquisitions, including Eppo and Metaplane, are enhancing its product offerings and capabilities in observability and data quality [9][10]. Performance Comparison - Year-to-date, SNOW shares have increased by 18.2%, while DDOG shares have decreased by 17.6%, attributed to macroeconomic challenges and rising expenses for DDOG [11]. - Both companies are currently considered overvalued, with SNOW trading at a forward Price/Sales ratio of 12.71X compared to DDOG's 11.89X [14]. Earnings Estimates - The Zacks Consensus Estimate for SNOW's fiscal 2026 earnings is $1.15 per share, reflecting a 38.55% year-over-year increase [16]. - The Zacks Consensus Estimate for DDOG's 2025 earnings is $1.69 per share, indicating a 7.14% year-over-year decrease [16]. Conclusion - Both SNOW and DDOG present strong growth prospects in the cloud market, but SNOW's robust portfolio and client base make it more attractive for long-term investors, while DDOG faces margin pressures and slower earnings growth [17].

Core Insights - Datadog is one of only four enterprise software companies with at least $3 billion in revenue and a growth rate in the mid-20s percentage range, indicating a rare achievement in the industry [4] Company Overview - Datadog specializes in observability and security for cloud environments, primarily serving engineering teams to ensure applications and systems are functioning properly and securely [5] - The company addresses significant trends such as digital transformation, cloud migration, and AI transformation, which are driving its growth and value delivery to customers [6]

Summary of Datadog Conference Call Company Overview - **Company**: Datadog - **Industry**: Enterprise Software, specifically in observability and security for cloud environments - **CEO**: Olivier Pomel Key Points Industry Position and Growth - Datadog is one of only four enterprise software companies with over $3 billion in revenue and mid-20% growth, alongside Palantir, CrowdStrike, and Snowflake [3][4] - The company serves over 30,000 customers, primarily engineering teams, helping them manage application performance and security [7][4] Core Trends Driving Growth - Major trends fueling Datadog's growth include digital transformation, cloud migration, and AI transformation [4][11] - The complexity of modern systems is increasing, leading to a demand for observability solutions [5][6] Market Dynamics - Cloud migration remains strong, with expectations for long-term growth despite short-term fluctuations [10][11] - Datadog has only penetrated 45% of the Fortune 500, indicating significant growth potential [18][19] Customer Behavior and Spending - Customers are increasingly investing in cloud solutions as part of their IT budgets, viewing it as transformative rather than a cost [19][24] - Datadog's sales capacity has increased, leading to a notable rise in bookings and backlog growth, with an acceleration of 30% in CRPO [17][18] AI Integration - AI natives now account for 8.5% of Datadog's Annual Recurring Revenue (ARR) [29] - The company is positioned to benefit from the growth of AI applications, particularly in the inferencing stage rather than model training [33][34] Competitive Landscape - There is a growing trend among companies in the EU and Canada to seek local cloud providers, but Datadog sees limited immediate impact due to the lack of viable alternatives [12][13] - The AI landscape is evolving, with more companies able to innovate without massive investments, leading to a more diverse ecosystem [61][62] Future Outlook - Datadog anticipates that the trends seen in AI natives will eventually influence larger enterprises, similar to the past with cloud migration [49][52] - The company is committed to investing in engineering and sales capacity, maintaining a focus on organic growth and innovation [64][66] Observability and AI Models - Datadog offers LLM observability to help companies monitor AI models, ensuring they are functioning correctly and providing business value [42][43] - The company sees a significant opportunity in understanding how AI applications behave in production environments [55] Investment Strategy - Datadog has increased headcount by 25% to support growth, focusing on engineering and market coverage [64] - The company maintains a disciplined approach to pricing and product development, ensuring transparency and customer feedback drives innovation [66][67] Additional Insights - Datadog's growth is insulated from broader economic pressures, as its services are part of transformational investments rather than operational costs [25][28] - The company is leveraging AI to improve its own operations, enhancing coding efficiency and support processes [56][58] This summary encapsulates the key insights from the Datadog conference call, highlighting the company's strategic positioning, growth drivers, and future outlook in the enterprise software industry.

Financial Performance & Growth - Datadog's TTM revenue reached $2.83 billion, demonstrating a year-over-year growth of 26%[50] - The company's TTM non-GAAP operating margin stands at 24%, with a TTM free cash flow margin of 29%[50] - Datadog forecasts Q2 2025 revenue between $787 million and $791 million, and full-year 2025 revenue between $3.215 billion and $3.235 billion[68] - The company's long-term operating margin goal is 25%+ [70] Customer Base & Platform Adoption - Datadog serves approximately 30,500 total customers[50] - The company has around 3,770 customers with ARR exceeding $100,000[50] - 83% of Datadog's customers are using two or more products, 51% are using four or more products, 28% are using six or more products, and 13% are using eight or more products[50] Market Opportunity & Recognition - The cloud market is estimated to be a ~$600 billion market today, growing at a 20% CAGR through 2028[27] - The observability market is approximately $53 billion today, with an anticipated growth rate of 11% CAGR through 2028[29] - The cloud security market is currently valued at $26 billion, projecting a growth of 16% CAGR through 2028[31]

Core Viewpoint - Datadog is experiencing a frustrating stock performance despite strong growth momentum in the cloud-computing sector, particularly in observability and monitoring solutions driven by AI demand [1][2]. Group 1: AI-Powered Growth Opportunity - Datadog serves as a central data hub, providing real-time visibility across technology stacks, integrating data from over 900 software applications to enhance efficiency [4]. - The rise of data-intensive AI workflows is a significant growth driver, with Datadog actively integrating AI tools, including its Bits AI generative assistant, to enhance automation and intelligent analysis [5]. - The public cloud services market is valued at $600 billion and is expected to nearly double by 2028, with a 20% compound annual growth rate (CAGR), presenting substantial opportunities for Datadog [6]. Group 2: Robust Operating Tailwinds - In the first quarter, Datadog's revenue grew by 25% year over year to $762 million, exceeding Wall Street's expectations of $741.5 million, with adjusted earnings per share (EPS) of $0.46 also surpassing estimates [7]. - The company has around 30,500 customers, with 3,770 generating over $100,000 in annual recurring revenue (ARR), and a notable 110% dollar-based net retention rate indicates increased customer spending [8]. - Demand for AI solutions is strong, with the number of customers using its large language model (LLM) Observability product more than doubling in six months, supported by strategic acquisitions like Metaplane and Eppo [9]. Group 3: Free-Cash-Flow Momentum - For the full year 2025, Datadog targets revenue between $3.215 billion and $3.235 billion, reflecting a growth rate of 20% to 21% from the prior year, with EPS estimates of $1.67 to $1.71 indicating strong profitability [10]. - Free cash flow reached $833 million over the past year, surging 39% from year-end 2023, supporting the stock's premium valuation [10]. Group 4: Competitive Positioning - Datadog shares trade at a forward price-to-earnings (P/E) ratio of 64, which is high compared to the broader market but attractive relative to other high-growth software infrastructure peers [11]. - Compared to peers like CrowdStrike and Cloudflare, which have a forward P/E above 100, Datadog's unique blend of observability and cybersecurity capabilities offers broader use cases [12]. Final Thoughts - Datadog's AI-driven growth aligns with high-level themes in technology and cloud computing, making it a compelling addition to diversified portfolios [14].