Side by side
Gremlin vs PowerfulSeal
Both stand on chaos engineering platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free trial APILinuxSelf-hosted+2
Gremlin combines controlled fault injection with experiment planning and reliability analysis. The 30-day trial has clear terms, while ongoing platform pricing depends on a customer-specific quote and sizing.
Visit Gremlin Free plan Self-hostedWeb
PowerfulSeal provides several ways to run and constrain failure-injection scenarios, including Kubernetes deployment and local installation. Users should account for its Python requirement and access needs for SSH, cloud, or Kubernetes APIs.
Visit PowerfulSealThe facts
| Gremlin | PowerfulSeal | |
|---|---|---|
| Free plan | A free trial | Yes |
| Open source | No | Not published |
| Runs on | API, Linux, Self-hosted, Web, Windows | Self-hosted, Web |
| Lowest paid plan | Gremlin Reliability Management Platform on AWS Marketplace: $45,000 a year | Free or on request |
| Plans published | 8 | 1 |
| Maker | Not published | Not published |
| Website | gremlin.com | powerfulseal.github.io |
| On chaos engineering platforms | #18 of 25 | #14 of 25 |
Gremlin: what it does well
- Fault injection covers services, hosts, containers, and serverless workloads.
- Experiments have blast-radius controls and automatic rollback.
- GameDay Manager supports preparation, analysis, and results storage.
- Private Edition supports self-hosted deployment.
- Trial lasts 30 days and does not auto-convert.
What to know first
- Platform pricing requires a custom quote.
- Agents, targets, and test volume are sized with the customer.
- No free plan is listed.
- Standalone fault injection suite pricing requires a quote.
PowerfulSeal: what it does well
- Defines experiments in YAML policy files
- Works with Kubernetes, cloud platforms, and local machines
- Autonomous metrics support stdout, Prometheus, and Datadog
- Label mode can limit targets, times, and probability
What to know first
- Local pip installation requires Python 3.7 or newer
- Cloud use requires credential configuration
- Needs SSH, cloud, and Kubernetes API access
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