Welcome to our dedicated page for Datadog news (Ticker: DDOG), a resource for investors and traders seeking the latest updates and insights on Datadog stock.
Datadog, Inc. provides an AI-powered observability and security software-as-a-service platform for cloud applications. Company updates commonly address financial results, customer adoption of higher annual recurring revenue tiers, and platform capabilities spanning infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security, data observability and AI operations.
Recurring developments include product launches such as Datadog Experiments, GPU Monitoring and Bits AI Security Analyst, security and compliance milestones such as FedRAMP High certification for Datadog for Government, and integrations that connect Datadog telemetry with partner recovery or resilience workflows. Coverage also reflects research reports on AI operations and the company’s positioning around real-time visibility across applications, infrastructure, data, models and security.
Datadog (NASDAQ: DDOG) has launched two significant AI research initiatives through its Datadog AI Research division. The first is Toto, an open-source time series foundation model (TSFM) trained on Datadog's internal telemetry metrics, designed specifically for observability. Toto offers zero-shot forecasting capabilities for anomaly detection and capacity planning, outperforming existing TSFMs.
The second initiative is BOOM, which becomes the largest public benchmark of observability metrics, featuring 350 million observations across 2,807 real-world multivariate series. Both projects are immediately available under a permissive license, aiming to advance observability forecasting capabilities in the broader research community.
Chief Scientist Ameet Talwalkar emphasized that these launches mark the beginning of continuous AI project releases, with plans to collaborate with applied AI teams to develop practical customer solutions.Datadog (NASDAQ: DDOG) announced its progress toward achieving Federal Risk and Authorization Management Program (FedRAMP) High authorization. The company's monitoring and security platform for cloud applications has already achieved Moderate-Impact authorization and is now 'In Process' for High-impact level certification. This advancement will enable federal agencies to better monitor, secure, and optimize their critical applications and infrastructure while meeting strict compliance requirements.
The FedRAMP High authorization requires stringent security controls for protecting highly sensitive data. Datadog aims to complete the authorization process in the second half of 2025, working to obtain an Authority to Operate (ATO) from an agency sponsor. This initiative strengthens Datadog's commitment to serving the U.S. public sector by addressing common challenges like tool sprawl, siloed data, and limited visibility across complex environments.
Datadog (NASDAQ: DDOG) has announced new speakers for its annual DASH conference, scheduled for June 10-11, 2025, at North Javits Center in New York City. Oscar and Emmy-nominated actor Kumail Nanjiani will be the featured speaker, sharing insights on creativity under pressure and his career transition from comedy to acting.
The conference will feature over fifty sessions with speakers from major companies including JPMorgan Chase, Thomson Reuters, Rivian, Expedia, Coinbase, Redfin, Thales IFE, and Toyota. The event focuses on discussions about applications, infrastructure, security, and GenAI, bringing together practitioners and teams from across the industry.
Datadog (NASDAQ: DDOG), a cloud application monitoring and security platform provider, has announced its management's participation in two upcoming investor conferences:
1. The J.P. Morgan Global Technology, Media and Communications Conference on Tuesday, May 13, 2025, at 1:10 p.m. ET
2. The Bank of America Global Technology Conference on Tuesday, June 3, 2025, at 3:30 p.m. ET
Both presentations will be available via live webcast, with replays accessible for a limited time through Datadog's investor relations website at investors.datadoghq.com under the "Events and Presentations" section.
Datadog (NASDAQ: DDOG) has acquired Eppo, a feature flagging and experimentation platform, to enhance its Product Analytics suite. The acquisition creates a comprehensive end-to-end product analytics solution that combines observability with experimentation and feature flags. This integration enables engineers to track code changes, data science leaders and product managers to design and measure impact through experiments, and business analysts to analyze product usage and outcomes.
The acquisition is particularly significant for AI workloads, as Eppo's experimentation capabilities help developers safely scale complex systems by measuring user experience impact in real time. This allows teams to compare multiple AI models, evaluate user engagement against costs, and ensure measurable value delivery. Eppo will continue operating as Eppo by Datadog, supporting existing and new customers.
Datadog (NASDAQ: DDOG) has released its State of DevSecOps 2025 report, revealing that only 18% of critical vulnerabilities actually require urgent attention when runtime context is considered alongside CVSS scores. The study highlights significant security challenges in Java applications, with 44% containing known-exploited vulnerabilities compared to just 2% in other programming languages.
The report found that Java applications take longer to patch, averaging 62 days for library fixes, versus 46 days for .NET and 19 days for JavaScript-based applications. Additional findings include ongoing software supply chain attacks through malicious PyPI and npm libraries, a slight improvement in credential management with long-lived credential usage dropping from 63% to 58%, and challenges with outdated dependencies across all programming languages.
Datadog (NASDAQ: DDOG) has announced the acquisition of Metaplane, an end-to-end data observability platform that leverages advanced machine learning for monitoring and column-level lineage to manage data quality issues across data stacks.
The acquisition enhances Datadog's data observability capabilities, building upon their existing products like Data Jobs Monitoring and Data Streams Monitoring. Unlike existing tools that only monitor data after it reaches data lakes or warehouses, this integration will provide visibility across the complete data lifecycle - from production to transformation and consumption.
This strategic move is particularly significant as organizations increasingly deploy AI applications, requiring reliable data systems. Metaplane will continue operating as 'Metaplane by Datadog', supporting both existing and new customers while helping to unify observability across applications and data.