SolarWinds vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
Austin IT management software at $796.9M 2024 revenue (34% subscription ARR growth); $4.4B Turn/River Capital acquisition Feb 2025 taking private post-2020 Sunburst breach recovery competing with Datadog for enterprise network and IT monitoring.
About
SolarWinds Corporation is an Austin, Texas-based IT management software company — having entered into a definitive agreement in February 2025 to be acquired by Turn/River Capital in an all-cash transaction valued at approximately $4.4 billion — providing 300,000+ customers (enterprises, government agencies, and managed service providers) with software for network monitoring, IT observability, database management, IT service management, and security across the SolarWinds Observability, SolarWinds Service Desk, and SolarWinds ITSM product lines. In fiscal year 2024, SolarWinds reported $796.9 million in revenue (5% year-over-year growth) with subscription ARR growing 34% to $311.7 million and a 48% adjusted EBITDA margin, demonstrating the financial recovery and operational efficiency achieved post-cyberattack. CEO Sudhakar Ramakrishna (joined January 2021) led the security remediation and business model transition from perpetual licensing toward subscription. Founded in 1999.
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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