Observe vs Domo
Side-by-side comparison of AI visibility scores, market position, and capabilities
San Mateo AI observability treating telemetry as structured data resources; $393M total ($145M Evolution Equity/Madrona Series B Sep 2024) from Sutter Hill Ventures founding with 50+ customers competing with Datadog for cloud-native observability.
About
Observe Inc. is a San Mateo, California-based AI-powered observability platform — backed with approximately $393 million in total funding including a $145 million Series B in September 2024 led by Evolution Equity Partners with Madrona Ventures, plus Sutter Hill Ventures' founding investment — providing enterprise engineering and operations teams with a cloud-native observability solution that treats telemetry data as a structured data problem, curating logs, metrics, and traces into typed "resources" (users, sessions, help desk tickets, software builds, and other business objects) that enable sophisticated root-cause analysis and cross-stack troubleshooting beyond what traditional observability tools provide. Serving 50+ customers including Upstart Financial, OpenGov, and TopGolf, Observe is led by CEO Jeremy Burton (former C-suite at Oracle, Symantec, EMC, and Dell) with co-founders from Splunk, Snowflake, Wavefront, and Roblox. Founded in 2017 (Sutter Hill Ventures company).
Cloud BI platform with $325M ARR; 1,000+ data source connectors and Domo.AI natural language analytics for business users across mobile and desktop dashboards.
About
Domo is a cloud-based business intelligence and data visualization platform enabling business users — not just data analysts — to connect, visualize, and act on data from across their organization through dashboards, automated alerts, and embedded analytics. Founded in 2010 by Josh James (Omniture founder) in American Fork, Utah and listed on NASDAQ, Domo has pursued an ambitious vision of making data accessible to every employee, generating approximately $325 million in annual recurring revenue while navigating a path toward profitability.
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