DATADOG

Olivier Pomel and Alexis Lê-Quôc met while working at Wireless Generation, an education technology company in New York. Both were frustrated with the same problem: monitoring cloud infrastructure required using a dozen different tools — one for servers, one for applications, one for logs, one for databases — and none of them talked to each other.

When something broke at 3 AM, you had to open five dashboards to figure out what happened. They founded Datadog in 2010 to build a single platform that unified all monitoring.

The name "Datadog" came from a card game one of the founders played. They started in a tiny office in New York — not San Francisco, which was unusual for a DevOps company.

The early product focused on infrastructure monitoring for cloud servers (AWS). They expanded methodically into APM, log management, security monitoring, and more — always building on the same unified platform.

Usage-based SaaS. Datadog charges based on the number of hosts, containers, logs, and custom metrics you monitor.

The more infrastructure you have, the more you pay. Infrastructure Monitoring starts around $15/host/month.

APM (Application Performance Monitoring) is $31/host/month. Log Management is priced per GB ingested.

This pricing model is brilliant because it scales automatically with customers — as companies grow their cloud infrastructure, their Datadog bill grows too. No renegotiation needed.

Revenue was $2.1 billion in 2023, growing 25%+ year-over-year. Net revenue retention is consistently above 120%, meaning existing customers spend more each year without Datadog needing to sell them anything new.

Infrastructure Monitoring — real-time visibility into servers, containers, and cloud services across any provider. APM (Application Performance Monitoring) — traces requests through distributed systems to find bottlenecks and errors.

Log Management — ingest, search, and analyze logs from any source at any scale. Security Monitoring (Cloud SIEM) — detect threats across infrastructure and applications.

Synthetic Monitoring — simulate user interactions to catch issues before real users hit them. Real User Monitoring (RUM) — track actual user experiences in browsers and mobile apps.

Database Monitoring — deep visibility into query performance across PostgreSQL, MySQL, MongoDB, and more. CI Visibility — monitor CI/CD pipelines for flaky tests and slow builds.

700+ integrations with every major cloud service and development tool.

Land-and-expand within engineering teams. A single DevOps engineer signs up for infrastructure monitoring.

It works well. They add APM.

Then log management. Then security monitoring.

Then synthetic testing. The average enterprise customer uses 4+ Datadog products.

Each new product is a wedge into a bigger budget. Datadog also invested heavily in integrations — over 700 out-of-the-box integrations with every cloud service, database, framework, and tool that developers use.

This makes onboarding frictionless. Their annual DASH conference builds community and launches new products.

They release new products at an aggressive pace — 2-3 major products per year — which keeps customers expanding their usage.

Competition from the hyperscalers. AWS has CloudWatch, Google has Cloud Operations, Azure has Monitor — every major cloud provider has built their own monitoring tools and bundles them for free or cheap.

Datadog has to convince companies to pay $15-$31/host/month for monitoring when their cloud provider offers something "good enough" for free. The defense: Datadog works across all clouds simultaneously.

If you use AWS and GCP and Azure (most large companies do), the cloud-native tools only see their own piece. Datadog sees everything.

The other challenge is pricing perception — Datadog bills can get very large very fast. Companies running thousands of containers can easily spend $500K-$1M+ per year.

CFOs notice.

Index Ventures, RTP Ventures, Openview Venture Partners, ICONIQ Capital. IPO'd on NASDAQ in September 2019, priced at $27/share — the stock quickly tripled.

Pre-IPO investors saw massive returns. The company raised $148 million before going public.