Cloud monitoring platform for metrics, traces, logs, and security
Datadog operates a multi-signal observability platform built on distributed systems infrastructure (Kafka, Cassandra, Elasticsearch, Spark, Flink) while actively adopting cloud-native tooling (GCP, Azure, OCI, Kata Containers, CSPM). The hiring mix is sales-heavy (351 roles) relative to engineering (235), paired with active projects around incident response automation, threat detection tuning, and a new data storage engine handling hundreds of millions of records per second—indicating both aggressive go-to-market expansion and infrastructure-layer scaling.
Notable leadership hires: Account Director, Enterprise Sales Director, Chief Information Security Officer, Marketing Director, Director Channels
Datadog is a public SaaS company founded in 2010 and headquartered in New York, NY. The platform unifies monitoring, observability, and security across cloud infrastructure, containers, databases, and third-party services. The product surface spans APM, log management, distributed tracing, and security threat detection. The company operates at scale with over 1,000 employees across 25+ countries and is navigating cloud migration, incident response efficiency, cost optimization, and expansion into the public sector—challenges reflected in its active project roadmap and hiring velocity.
Datadog's infrastructure runs on Kafka, Cassandra, Elasticsearch, Redis, and Apache Spark/Flink for real-time data pipelines. The platform uses Go, Python, Java, Rust, and C for backend services, React and TypeScript for frontend, and is adopting GCP, Azure, and OCI cloud platforms alongside CSPM and Kata Containers.
Current projects include incident response automation, threat detection signal tuning, a new data storage engine processing hundreds of millions of records per second, developer tools for observability in VS Code and Cursor, and real-time threat intelligence collection automation.
Other companies in the same industry, closest in size