Comparing ĢƵ vs. Gremlin
Rolling out chaos engineering is easier when you can fully customize your tool to fit your organization. With ĢƵ, you can make it your own.
ĢƵ is the only chaos engineering tool that offers open source customization with enterprise-grade features.
ĢƵ easily integrates with your tech stack, whether it’s SaaS, On-Prem, air-gapped, multi-cloud, serverless… With one agent per network, deployment is simple.
With an open source extension framework, ĢƵ enables teams to customize the platform to perfectly fit their systems and use cases. Add your own custom actions!
We provide recommended experiments so you can get value from experiments right away. Try a variety of attacks quickly and safely with our library of ready-to-run templates.
Add your own custom extensions, checks, attacks, load tests, & advice.
Need a new integration or want to inject a custom fault? With Gremlin’s closed-source architecture, you would need to submit a feature request and wait.
With Extension Kits, you can build on top of ĢƵ to create the perfect solution for your organization. Get the benefits of a in-house tool without the maintenance.
Need inspiration? Use our library of 200+ open source actions and templates anytime.
With an intuitive, extensible platform; it’s easier to shift left your testing and build a culture of reliability.
See the exact benefits of reliability testing with ĢƵ compared to other tools like Gremlin
Read MoreWatch to see how easy building new experiments can be with ĢƵ.
Read MoreView your experiments run in real-time within the ĢƵ platform.
Read MoreStart making reliability improvements fast by reviewing issues ĢƵ flags automatically.
Read MoreIncorporate experiments into your software development however you want by using the ĢƵ API and CLI.
Read More
Create an free trial to explore the ĢƵ platform up close. We’re happy to answer any specific questions you have. Just reach out.
Director of Software Engineering
Cloud Platform Engineer
Site Reliability Engineer
When you install our agent on your network, ĢƵ will automatically discover any potential experiment targets and pull in related metadata from your environment. With our intuitive query language, you can easily explore targets and view them in an interactive visualization with groups and filters.
Gremlin doesn’t provide a interactive visualization of your systems. There are limited options for selecting targets for experiments, and no ability to add custom attributes.
ĢƵ has always supported both SaaS and On-Prem deployments with full feature parity from Day 1. Our team has helped enterprise customers deploy and update ĢƵ On-Prem for years.
Gremlin has recently announced On-Prem support for the first time as of January 2025. As with any new re-architected product offering, customers will likely encounter unexpected challenges and deployment complications.
Monitoring and observability tools are key for seeing how your systems perform. ĢƵ has tight integrations with tools like Datadog, Dynatrace, Grafana, Prometheus, Instana, and more. While you watch your experiment run, you’ll be able to see in real-time whether your monitoring tool raises an alert.
With Gremlin, there is support for some monitoring tools but the integrations are limited. For example, you can’t see if alerts are triggered while you watch your experiment run.
Gremlin is a closed-sourced tool that requires an agent to be installed on each host. ĢƵ is a hybrid-source platform that only requires one agent per network boundary. That means more flexibility and less setup time for your team.
Schedule a demo with our team to see a platform walk-through and get your questions answered.