Datadog is the cloud monitoring and observability platform used by 29,000+ organizations to monitor their infrastructure, applications, and logs in one place. Engineering teams use it to detect outages, debug performance issues, and understand user behavior. As cloud infrastructure becomes more complex, Datadog's unified platform becomes more valuable than point solutions.
Key relationships in depth
Datadog has a deep integration partnership with Microsoft Azure, available through the Azure Marketplace for consumption against Azure committed spend. Datadog monitors Azure infrastructure including AKS (Kubernetes), Azure Functions, Azure SQL, and Azure OpenAI Service workloads. The two companies share joint enterprise sales teams and co-sell Datadog monitoring alongside Azure services.
Why it matters: Microsoft Azure's 65,000+ enterprise AI customers building on Azure OpenAI Service need observability into their AI inference costs, latency, and error rates. Datadog's AI observability product monitors LLM calls to Azure OpenAI, making it essential for enterprises managing AI costs on Azure. Azure Marketplace availability reduces procurement friction.
Datadog provides GPU fleet monitoring and AI observability capabilities for NVIDIA Instinct and data center GPU deployments through its NVIDIA DCGM integration. Datadog's GPU Monitoring product, built on NVIDIA's Data Center GPU Manager (DCGM) Exporter, enables engineering and ML teams to monitor GPU utilization, memory allocation, thermal performance, and failure patterns across NVIDIA GPU fleets running at cloud providers and on-premises AI factories.
Why it matters: As enterprises deploy thousands of NVIDIA GPUs for AI training and inference, observability into GPU health, utilization, and cost efficiency becomes critical for managing AI infrastructure ROI. Datadog's existing APM and infrastructure monitoring customer base represents a natural upsell for GPU observability, and NVIDIA benefits from standardized monitoring tooling that reduces operational complexity for its GPU customers.
Datadog and Google Cloud have a strategic partnership where Datadog is a Premier Google Cloud Partner and Datadog Marketplace is available on the Google Cloud Marketplace. Datadog monitors Google Cloud services including GKE (Kubernetes), BigQuery, Cloud Run, and Vertex AI, providing unified observability for enterprises running workloads on GCP. Datadog's AI observability tools specifically monitor Google Vertex AI and Gemini API call performance, latency, and cost, positioning Datadog as the monitoring layer for Google's enterprise AI platform.
Why it matters: Google Cloud's enterprise customers building AI applications on Vertex AI and Gemini need observability for LLM performance, token usage, and cost attribution that native Google Cloud monitoring does not fully provide. Datadog's AI observability suite supports all major LLM providers including Google's models, giving enterprises a vendor-neutral monitoring solution that works regardless of which AI platform they use. Google Cloud Marketplace availability enables GCP-committed enterprises to consume Datadog spend against their GCP committed use discounts.
Datadog and Amazon Web Services signed an expanded Strategic Collaboration Agreement (SCA) at AWS re:Invent in December 2025, deepening their partnership across AI observability, cloud monitoring, and security. Datadog provides over 1,000 AWS integrations including 100 unique to AWS, and is the leading third-party observability platform for AWS cloud environments. AWS customers deploy Datadog to monitor EC2, EKS, Lambda, RDS, and virtually every AWS service, with Datadog's AI observability tools specifically targeting AWS Bedrock and SageMaker workloads.
Why it matters: AWS's 4M+ customers running production workloads need comprehensive monitoring beyond AWS CloudWatch's native capabilities. Datadog's 600+ $1M ARR customers are predominantly multi-cloud enterprises where AWS is the primary cloud, and Datadog's ability to provide a single monitoring pane across AWS and non-AWS infrastructure makes it indispensable for DevOps teams. The December 2025 SCA expansion signals that both companies see AI infrastructure monitoring as a major growth area, with Datadog's LLM observability tools positioned to capture AI workload monitoring revenue as AWS Bedrock adoption grows.
Relationships are compiled by VexMap from company filings, announcements and reporting, and last reviewed September 2026. Spotted something wrong? Tell us. Not investment advice.