| What it is | Reliability management platform built around service-level measurement | Chaos engineering platform built around experiment design and target discovery |
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| Infrastructure | Bare metal, on-prem, AWS, Azure, GCP, multi-cloud, K8s, serverless | K8s, Docker, Linux/Windows hosts, VMs, AWS, Azure, GCP |
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| Deployment | SaaS or Private Edition | SaaS, on-prem, or air-gapped |
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| Reliability scoring | Service-level score combining executed tests + passive detection, benchmarked across teams | No service-level score; Reliability Advice checks targets against best practices |
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| Passive risk detection | Across every environment the agent covers | Best-practice checks, Kubernetes-centric by default |
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| Experiment library | Comprehensive: state, resource, network, application, DR | 200+ open-source actions, extensible in any language |
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| Safety | Health Checks, auto rollback, global halt, RBAC, MFA | Blast radius limits, pre-flight webhooks, Emergency Stop, RBAC |
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| Pricing | Per-agent, unlimited tests | Two plans; unlimited agents/users/teams; enterprise features gated |
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| Org reporting | Service-level scoring, cross-team benchmarking, executive reporting | Experiment reports on fault types, results, team usage; audit log |
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| DR testing | Centralized DR simulation with auditable reporting | No dedicated DR testing workflow |
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| AI | Reliability Intelligence: recommendations, analysis, remediation; MCP server | Reliability Advice recommends experiments to run |
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