Atlassian vs OpsLevel
Side-by-side comparison of AI visibility scores, market position, and capabilities
NASDAQ: TEAM enterprise collaboration platform at $5.215B FY2025 revenue with 300K+ customers; Jira, Confluence, and Atlassian Intelligence AI competing with Microsoft and ServiceNow for developer and enterprise team workflows.
About
Atlassian Corporation is a Sydney, Australia-founded, San Francisco-headquartered enterprise collaboration software company — listed on NASDAQ (NASDAQ: TEAM) — providing software development teams and enterprises globally with Jira (agile project tracking and issue management), Confluence (team documentation and knowledge base), Jira Service Management (IT service management), Bitbucket (code collaboration and CI/CD), Trello (visual kanban boards), and Atlassian Intelligence (AI features across the platform), generating $5.215 billion in revenue in fiscal year 2025 (+19.66% year-over-year) with 300,000+ customers including 45,842 cloud customers with over $10,000 in annual cloud ARR. Founded in 2002 by Mike Cannon-Brookes and Scott Farquhar with no outside venture funding and $10,000 on a credit card, Atlassian pioneered the developer-centric, low-touch SaaS sales model that many B2B companies have since replicated.
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
About
OpsLevel is a developer portal platform that gives engineering organizations visibility into the services they operate, who owns them, and how mature they are relative to internal engineering standards. At its core, OpsLevel maintains a service catalog that maps every microservice, repository, and infrastructure component to a team owner, populating metadata automatically from integrations with GitHub, GitLab, PagerDuty, Datadog, and cloud providers. This catalog becomes the authoritative source of truth for answering questions like who to contact about a service, what tier of reliability it requires, and what dependencies it has — questions that are often unanswerable at engineering organizations that have grown past the point where everyone knows everything.
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