Opsera vs Supabase
Side-by-side comparison of AI visibility scores, market position, and capabilities
Palo Alto DevSecOps orchestration platform at $51.3M raised ($20M Prosperity7 Series B 2025); Hummingbird AI autonomous agents Oct 2025 with 200% revenue growth serving Cisco/Honeywell/Sephora competing with GitLab for CI/CD.
About
Opsera is a Palo Alto, California-based AI-powered DevSecOps orchestration platform — having raised $51.3 million total including a $20 million Series B in 2025 led by Prosperity7 Ventures with Hitachi Ventures — providing enterprises with a no-code, continuous orchestration platform that automates and streamlines software delivery pipelines while embedding security and compliance across CI/CD workflows. Founded in January 2020 by co-founders Chandra Ranganathan and Kumar Chivukula (industry veterans who met at Symantec and later tackled DevOps automation challenges at Uber), Opsera has achieved 200% revenue growth since its $15 million Series A in April 2021. Enterprise customers including Cohesity, Cisco, Honeywell, Guardant Health, Qualys, Sephora, and Siemens rely on Opsera for complex DevSecOps workflows. In October 2025, Opsera unveiled the Hummingbird AI platform — introducing autonomous AI agents that dynamically analyze, adapt, and optimize software delivery in real-time, transforming DevOps telemetry into actionable intelligence. Opsera has won the Tech Ascension Award in DevOps and the 2025 CloudX Award for Cloud Application Platforms.
Supabase is the open-source Firebase alternative built on PostgreSQL, providing developers with a full backend including database, authentication, storage, and real-time subscriptions.
About
Supabase is an open-source backend-as-a-service platform that provides developers with a fully managed PostgreSQL database alongside a suite of backend services—authentication, file storage, edge functions, and real-time subscriptions—through a Firebase-compatible API. Founded in 2020 by Paul Copplestone and Ant Wilson, Supabase chose PostgreSQL as its foundation, betting that developers would prefer a fully relational, SQL-native database over the document-oriented approach of Firebase.
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