groundcover vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $35M Series B (Apr 2025) led by Zeev Ventures. 500%+ ARR growth. Zero instrumentation via eBPF. 'Bring Your Own Cloud' data sovereignty model. AI Mode launched Mar 2026 via Amazon Bedrock.
About
groundcover is a cloud-native APM and observability platform using eBPF (extended Berkeley Packet Filter) kernel-level technology to provide zero-instrumentation observability — complete distributed tracing, metrics, and logs with no code changes, no SDKs, and no agents installed in application code. The company raised $35 million in Series B financing in April 2025 led by Zeev Ventures, reporting 500%+ ARR growth and hundreds of enterprise customers who have migrated off Datadog.
Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.
About
Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.
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