Xray confines test management to Jira, handy for Jira-only teams but costly and slow at scale. Qase delivers enterprise-grade governance, Dynamic RTM, and integrations across Jira, GitHub, and CI/CD tools without Jira’s overhead, giving you faster workflows and simpler maintenance.
Xray’s Jira-native setup adds process and clutter. Qase’s tester-first interface streamlines work, speeding onboarding and cutting admin time while keeping focus on testing.
Both tools offer real-time traceability, but Qase’s Dynamic RTM spans Jira, GitHub, and CI/CD, updating coverage automatically. Xray’s Jira-only model means more upkeep.
Xray’s pricing mirrors the Jira user tier, so even non-QA users add cost. Qase’s flexible per-seat model and low-cost viewer access provide full visibility without inflated spend.
Every test in Xray becomes a Jira issue, inflating issue counts by 3×–5× and slowing large projects. Qase’s standalone design avoids Jira limits, staying fast under heavy automation.
Xray’s AI features depend on Jira data and Enterprise plans. Qase’s built-in AIDEN AI works across ecosystems, generating and executing smarter tests anywhere.
Xray relies on Jira gadgets and complex JQL for insights. Qase provides ready-to-use dashboards and flexible analytics—no scripting, just instant visibility.
What's included:
What's included:
What's included:
Xray achieves native traceability by turning tests, Preconditions, and Executions into Jira issues—but that structure brings significant process overhead. Every change creates or edits a Jira ticket, adding noise for non-QA users and slowing documentation. Qase delivers Dynamic RTM and deep Jira traceability without polluting Jira, giving QA teams full coverage visibility minus the admin burden.
Because Xray’s licensing follows the Jira user tier, even non-QA Jira users drive up spend, and read-only access requires a full Jira license. Qase licenses per tester and offers read-only seats at $2–$5 per month, keeping total cost of ownership predictable as teams grow.
At enterprise scale, teams often hit Jira REST API throughput limits when importing large test runs or CI results. These slowdowns demand extra capacity planning. Qase’s standalone, API-first architecture avoids Jira’s performance ceiling, handling high-volume automation natively.
Because every artifact becomes a Jira issue, Xray can inflate Jira issue counts by 3×–5×, increasing database size and administrative effort. Qase keeps Jira lean—linking tests to requirements via API instead of cloning issues—so projects stay faster and cheaper to maintain.

