Side-by-side comparison of AI visibility scores, market position, and capabilities
2024 revenue $781M (up 13% YoY); Q3 2025 revenue $230M (up 16% YoY); trailing 12-month revenue (Sept 2025) $864M; net income 2024 $84M (335% growth) at 11% margin; Q1 2025 $38M (170% growth) at 18% margin
DigitalOcean is a cloud infrastructure platform founded in 2011 in New York City, built with the explicit mission of making cloud computing simple, affordable, and accessible to developers, startups, and small-to-medium-sized businesses that are underserved by hyperscaler complexity. The company's core technology provides virtual machines (Droplets), managed Kubernetes, managed databases, object storage, and AI/ML compute in a developer-friendly interface with transparent, predictable pricing — a deliberate contrast to the billing complexity and enterprise-oriented abstractions of AWS, Azure, and Google Cloud.\n\nDigitalOcean's platform serves more than 600,000 customers across 185 countries, the majority of them independent developers, digital agencies, software startups, and growing technology companies. The company has expanded its product portfolio into GPU-accelerated compute for AI model training and inference, positioning itself as a cost-effective alternative to hyperscaler AI infrastructure for developers building and fine-tuning models at smaller scales. Its App Platform, managed databases, and one-click marketplace further reduce infrastructure complexity for teams without dedicated DevOps resources.\n\nDigitalOcean reported $781 million in revenue for 2024, a 13% year-over-year increase, with Q3 2025 revenue of $230 million reflecting continued 16% growth momentum. Net income reached $84 million in 2024, a 335% increase, demonstrating the platform's operating leverage as it scales. As the global developer population grows and SMB technology adoption accelerates, DigitalOcean's combination of simplicity, affordability, and expanding AI compute capabilities positions it to capture spending from organizations that find hyperscaler platforms overly complex and expensive for their needs.
Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.
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.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.