Latest IR news and announcements for Datadog, Inc. (DDOG).
Datadog has launched three new AI agents designed to expedite incident resolution for development, security, and operations teams, enhancing their capabilities with domain-specific expertise and proactive recommendations to improve application performance and security.
Datadog introduces new capabilities for monitoring agentic AI, including AI Agent Monitoring, LLM Experiments, and AI Agents Console, aimed at improving visibility and performance of AI systems to enhance business value and ROI.
Datadog has launched new security capabilities aimed at protecting AI environments, including Code Security and LLM Observability, to mitigate vulnerabilities and enhance security protocols for AI applications from development to production.
Datadog has introduced its Internal Developer Portal (IDP), enabling engineering teams to autonomously ship production-ready code while adhering to internal standards, thus streamlining software delivery and improving incident response through real-time observability data.
Datadog enhances its log management suite with new features aimed at optimizing costs and ensuring compliance for regulated industries, including long-term retention, efficient search capabilities, and options for data residency within customer infrastructures.
Datadog launches Toto, an open-source time series foundation model, and BOOM, a benchmark for observability metrics, aimed at enhancing cloud application monitoring and security through advanced AI research and community collaboration.
Datadog, Inc. is progressing towards achieving FedRAMP High authorization, enhancing its monitoring and security platform for federal agencies to improve compliance and optimize critical applications and infrastructure.
Datadog announced Kumail Nanjiani as a featured speaker for its DASH conference, alongside leaders from various notable companies. The event aims to foster discussions on the future of technology and collaboration in cloud applications.
Datadog, Inc. achieved a 25% revenue growth in Q1 2025, reaching $762 million. The company reported significant cash flow metrics and highlighted its strategic acquisitions and upcoming user conference in New York City.
Datadog, Inc. announces management presentations at J.P. Morgan and Bank of America investor conferences in May and June 2025, showcasing their cloud monitoring and security platform.
Datadog has acquired Eppo to integrate feature flagging and experimentation into its Product Analytics suite, enabling developers to build high-quality products faster while managing AI complexities and improving business outcome correlations.
Datadog, Inc. has acquired Metaplane, a data observability platform, to enhance its capabilities in monitoring data quality and lineage, addressing the growing importance of trust in data for businesses leveraging AI and complex workflows.
Datadog's latest report shows that only 18% of critical vulnerabilities are genuinely worth prioritizing. The study highlights issues with Java applications and the ongoing challenges in credential management and outdated libraries in software development.
Datadog has been named a Leader in The Forrester Wave: AIOps Platforms, Q2 2025, achieving top scores in several key areas including innovation and data governance, enhancing its position in the cloud monitoring market.
Datadog, Inc. will announce its first quarter fiscal year 2025 financial results on May 6, 2025, followed by a conference call to discuss the results and guidance. The call will be accessible via phone and webcast.
Datadog enhances its monitoring capabilities for Google Cloud with expanded BigQuery features, enabling users to optimize costs and improve data quality. The company has also launched several new integrations and was recognized as Google Cloud Partner of the Year again.
Datadog, Inc. announces the establishment of its first data center in Australia, aimed at providing local data storage and processing to meet regional privacy and security needs for its customers and partners.