Lacework vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cloud security platform with behavioral anomaly detection for multi-cloud environments; acquired by Fortinet (FTNT) in October 2024 after $1.9B raised competing with Wiz and Palo Alto Prisma Cloud.
About
Lacework is a cloud security platform providing automated threat detection, vulnerability management, and compliance monitoring for cloud-native infrastructure — using behavioral analytics and machine learning (its Polygraph technology) to establish normal baseline behavior across cloud workloads, containers, Kubernetes, and multi-cloud environments, then detect anomalous activity that indicates compromise without requiring manually written detection rules. Founded in 2015 in Mountain View and backed by approximately $1.9 billion in total funding from investors including Sutter Hill Ventures, Tiger Global, and General Catalyst, Lacework merged with Fortinet (NASDAQ: FTNT) in October 2024.
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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