Chaos Mesh vs Gremlin
Chaos Mesh
chaos-mesh.orgGremlin
gremlin.comSide by side
| Figure | Chaos Mesh | Gremlin |
|---|---|---|
| Price from | Free | $3,750/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 8 |
| Spec score · Chaos Engineering Platforms | 8.6 (#4) | 9.0 (#1) |
| License | Chaos Mesh is licensed under the Apache License 2.0. | Gremlin's commercial reliability platform is not offered as an open-source product; a G2 reviewer specifically notes that no open-source version is available. |
| Purpose | Chaos Mesh simulates faults in development, testing, and production environments to help identify potential system problems. | Gremlin helps engineering teams find failure modes, fix them, and validate reliability before failures become outages. |
| Security | Chaos Mesh manages permissions through Kubernetes RBAC, and namespace annotations can restrict where experiments are enabled. | Gremlin states it is SOC 2 Type II certified and encrypts data in transit with TLS and at rest with AES-256. |
| Security controls | Role-based access control is enabled by default to restrict dashboard operations. | Gremlin states that it supports SAML 2, Google OAuth2, MFA, proxying and administrator access logs. |
Plans
Gremlin
- Gremlin 30-day trialFree
- Gremlin Platform trialFree
- Gremlin Reliability Management Platform on AWS Marketplace$45,000 a year
- Fault injection suitePriced on request
- Fault injection suite (stand-alone)Priced on request
- Gremlin Foresight AIPriced on request
- Gremlin PlatformPriced on request
- Professional ServicesPriced on request
In their own words
Chaos Mesh
Chaos Mesh is a free, open-source platform for running fault simulations in development, testing, and production environments. It runs on Kubernetes and manages experiments through Kubernetes CustomResourceDefinitions and the Kubernetes API. Fault simulations cover areas including Pods, networks, DNS, HTTP, I/O, time, stress, kernels, block devices, JVMs, physical machines, and AWS, Azure, and GCP. Schedule, Workflow, and StatusCheck resources support recurring experiments, serial or parallel workflows, and application health checks. Selectors and namespace controls help scope experiments to chosen targets. Chaos Dashboard offers a web interface and HTTP API for creating, managing, and observing experiments, with role-based access control enabled by default. Chaos Mesh is licensed under Apache License 2.0 and can be installed from its Helm repository using Helm 3. Compatibility varies by release: version 2.8 supports Kubernetes 1.30 through 1.35, while version 2.7 supports 1.26 through 1.28. Its privileged Chaos Daemon runs as a Kubernetes DaemonSet by default, though that permission can be disabled. Community support is available through CNCF Slack and GitHub Discussions.
Gremlin
Gremlin is a chaos engineering platform for engineering teams seeking failure modes and ways to validate reliability before failures become outages. It injects faults into services, hosts, containers, and serverless workloads so teams can examine system responses. Blast radius controls limit experiments, which can halt and roll back automatically if issues arise. Teams can sequence experiments into incident scenarios, schedule them, and use GameDay Manager to prepare, run, analyze, and store results. The platform also includes dependency discovery, standardized test suites and reliability scores, disaster recovery testing, detected risks, and organization-wide benchmarking. Documented integrations include Slack, Datadog, Dynatrace, AWS, Azure, Google Cloud Platform, Grafana Cloud k6, Jira, and custom webhooks. Supported environments include public clouds, Linux, Windows, Kubernetes, and on-premises deployments through self-hosted Private Edition. Gremlin states that it is SOC 2 Type II certified and encrypts data in transit with TLS and at rest with AES-256. A 30-day trial is available without a credit card and does not auto-convert. Platform pricing is by custom quote per service; agents, targets, and test volume are sized during the pricing conversation.