Datadog (NasdaqGS:DDOG) 2026 Investor Day February 12, 2026 01:00 PM ET Speaker26Good afternoon, everyone. My name is Yuka Broderick, and I lead Investor Relations here at Datadog. Welcome to all of you here in the theater and everyone joining us online for our 2026 Investor Day. Before we dive in, just a few reminders. During this presentation, we will make forward-looking statements, including statements related to our strategy, product development, market opportunity, and financial goals. These statement ...

Financial Data and Key Metrics Changes - Q4 revenue was $953 million, an increase of 29% year-over-year and above the high end of guidance [7][27] - Free cash flow was $291 million, with a free cash flow margin of 31% [8][30] - Gross profit for Q4 was $776 million, with a gross margin percentage of 81.4% [29] - Billings were $1.21 billion, up 34% year-over-year [29] - Remaining performance obligations (RPO) was $3.46 billion, up 52% year-over-year [29] Business Line Data and Key Metrics Changes - Infrastructure Monitoring contributes over $1.6 billion in ARR [10] - Log Management is now over $1 billion in ARR [10] - APM and DEM products also crossed $1 billion in ARR, with core APM product growth in the mid-30s% year-over-year [10] - 84% of customers used two or more products, up from 83% a year ago [8] Market Data and Key Metrics Changes - Datadog ended Q4 with approximately 32,700 customers, up from about 30,000 a year ago [7] - 48% of Fortune 500 companies are Datadog customers, indicating strong market penetration [9] - The median ARR for Fortune 500 customers is still less than $500,000, suggesting significant growth potential [9] Company Strategy and Development Direction - The company continues to focus on digital transformation and cloud migration as long-term growth drivers [25] - Datadog is integrating AI into its platform to enhance customer value and outcomes [25] - The company aims to solve end-to-end problems across software development, production, data stack, user experience, and security needs [25] Management's Comments on Operating Environment and Future Outlook - Management noted broad-based positive trends in demand driven by cloud migration [5] - There is an expectation of increased AI usage among customers, with significant growth anticipated in 2026 [26] - The company is optimistic about its ability to capitalize on market opportunities and deliver value to customers [25] Other Important Information - The company released over 400 new features and capabilities in 2025 [11] - Datadog launched several new products, including Data Observability and enhanced security features [16][17] - The company is seeing strong growth dynamics with its core observability pillars as customers adopt modern technologies [10] Q&A Session Summary Question: Observability's future in the context of advancements in AI - Management believes that increased productivity from AI will lead to more complexity, which observability can help manage [38][39] Question: Evolution of observability with human and agentic SREs - The company is preparing for more automation and is building products to satisfy both human and agentic interactions [41][42] Question: Insights on the eight-figure deal with an AI model company - The deal reflects the value Datadog provides over homegrown solutions, as companies recognize the cost of internal development [46][47] Question: LLMs as anomaly detection tools and Datadog's competitive moat - Management sees LLMs improving but believes Datadog's ability to provide context and proactive solutions is a significant advantage [51][55] Question: Guidance assumptions for 2026 - The company has taken a conservative approach in its guidance, expecting at least 20% growth excluding its largest customer [62] Question: Impact of LLM rise on competition - Management does not see significant changes in competition and believes Datadog is well-positioned to capture market share [68][69]

Industry Overview - Cybersecurity has evolved into a constant business risk, with companies facing relentless cyber threats such as ransomware attacks and data breaches, which can damage customer trust and brand reputation [1] - The global cybersecurity market is projected to grow from $193.7 billion in 2024 to nearly $563 billion by 2032, reflecting a compound annual growth rate (CAGR) of 14.4% [2] - The increasing complexity of digital networks, new compliance requirements, and the urgent need to protect critical data are driving this growth [2] Technological Advancements - Traditional security tools are becoming inadequate against smarter and faster attacks, leading to a shift towards artificial intelligence (AI) for proactive threat detection [3] - AI enables companies to analyze large volumes of data and automate detection and response processes, making it a promising solution for modern cybersecurity challenges [3] Key Players - Cisco Systems is integrating AI into its cybersecurity products, with AI infrastructure orders exceeding $2 billion in fiscal 2025, indicating strong demand for its offerings [6][7] - Cisco's data center switching orders are showing solid year-over-year growth, driven by demand for AI-optimized networks [8] - Palo Alto Networks is innovating in AI and cloud security, with its AI-powered platforms like Cortex XSIAM and Prisma AIRS enhancing its competitive edge [10][12] - SailPoint is transitioning from a legacy identity governance provider to a unified security solution provider through its AI and machine learning-enabled offerings [13][14] - Datadog is enhancing its AI-powered observability platform to meet the growing demand for AI-native capabilities [15][16]

Core Insights - Datadog has expanded its log management capabilities to help organizations optimize logging costs and comply with data retention and residency regulations [1][5][6] Group 1: New Log Management Features - The new features include Archive Search, Flex Frozen, and CloudPrem, aimed at enhancing log management efficiency and compliance [5][7] - Archive Search allows querying logs from customer-owned cold storage without re-indexing, maintaining a consistent user experience [5] - Flex Frozen extends log retention to over seven years, simplifying data management for compliance-heavy environments [5] - CloudPrem enables enterprises to deploy Datadog's capabilities within their own infrastructure, addressing regional data residency laws [5] Group 2: Industry Challenges - Organizations in regulated industries like financial services, healthcare, and insurance face challenges with high costs and data retention limitations in log management [2][3] - Compliance with complex regulations and the need for efficient log management strategies are critical for these organizations [3][6] Group 3: Market Position and Growth - Flex Logs, launched at the DASH conference, has quickly become one of Datadog's fastest-growing products, decoupling log storage costs from querying costs [4][7] - The enhancements in log management are designed to support modern SIEM and security workflows while ensuring cost efficiency and operational effectiveness [5][6]

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].