Technical, engineering-led company with strong growth trajectory. Values data-driven solutions and has significant budget for infrastructure tools.
Discovery Questions
Tailored questions to ask on your call, based on research findings:
- 1
“How are you approaching LLM and AI observability as more teams adopt AI features?”
- 2
“With the expansion into security, how does your team evaluate tools that span observability and security?”
- 3
“What's your approach to managing costs as monitoring data volumes grow?”
- 4
“How do you enable engineering teams to adopt new Datadog capabilities across the org?”
Talking Points
- 1
Datadog is heavily engineering-driven - Olivier Pomel has a technical background and values technical depth
- 2
They're expanding aggressively into security and AI observability - understand their full platform strategy
- 3
Usage-based pricing means they're cost-conscious about infrastructure - show clear ROI
- 4
Strong land-and-expand motion - often start with one team and grow across engineering org
About
Datadog is a monitoring and security platform for cloud applications. The company provides infrastructure monitoring, APM, log management, and security monitoring in a single platform. Datadog serves over 26,800 customers including major enterprises across all industries.
Target market: Engineering and DevOps teams at cloud-native companies who need unified observability across their infrastructure and applications
Tech Stack
Backend
Data
Infrastructure
Frontend
Collaboration
Hiring Signals
By Department
Primary Focus: Expanding Engineering team
Recent News
Competitive Landscape
This research brief is generated for demonstration purposes.Datadog is a trademark of its respective owner. Prepd is not affiliated with Datadog.