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Head-to-head · Chaos Engineering Platforms

Reliably vs Tumult

  • Updated Nov 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Reliably #6 in Chaos Engineering Platforms 8.7/10 Free plan Free plan✓ 5 of 5 features Visit Reliably
Tumult #12 in Chaos Engineering Platforms 8.1/10 Open source ✓ 4 of 5 features Visit Tumult

Reliably leads on 1 check, Tumult on 0, and 5 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreReliably · 8.7/10
  • Free planonly Reliably
  • Most featuresReliably · 5 of 5

Reliably scores higher on our rubric for chaos engineering platforms: 8.7 against 8.1 out of 10; our editors rank them #6 and #12.

Reliably offers experiment scheduling; Tumult doesn't. On deployment model, Reliably gives you Hybrid where Tumult offers Self_hosted.

Reliably is the better fit for teams wanting a guided chaos management layer. Tumult is the better fit for governed, observable self-hosted experiments.

  • Reliably fits best

    Teams wanting a guided chaos management layer

  • Tumult fits best

    Governed, observable self-hosted experiments

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Side by side

Feature Reliably 8.7/10 Visit ↗ Tumult 8.1/10 Visit ↗
At a glance
Editor score 8.7 8.1
Ranking #6 in Chaos Engineering Platforms #12 in Chaos Engineering Platforms
Best for Teams wanting a guided chaos management layer Governed, observable self-hosted experiments
Pricing model Free plan + paid Free
Starting price £40/mo Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Platforms Web, Windows, Linux Web, macOS, Linux
Support Email, Docs Docs
Integrations 3 integrations 3 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Reliably 5/5 · Tumult 4/5
Kubernetes support ✓ ✓
Cloud fault injection ✓ ✓
Network fault injection ✓ ✓
Experiment scheduling ✓ (best) —
Blast-radius controls ✓ ✓
Specs
Deployment model Hybrid Self_hosted
Our review
Pros
  • More than 300 actions and probes for experiment design
  • Runs through cloud, GitHub Actions, CLI, Docker, and Kubernetes
  • Free plan includes unlimited custom and GitHub executions
  • Risk-tiered approvals with quorum, TTL, and content-hash pinning
  • Kubernetes, multi-cloud, network, and system-fault experiment coverage
  • OpenTelemetry traces, DuckDB analytics, and compliance reports
Cons
  • Free plan is limited to one team member
  • Free plan includes only five custom experiments
  • Start limits cloud execution to 300 minutes per month
  • Self-hosted deployment requires a static binary or Docker image
  • Native experiment scheduling is not currently available
  • Integrations are centered on OpenTelemetry, Jaeger, and SigNoz
Our verdict

Reliably is a resilience engineering platform for software and operations teams that need to plan, run, schedule, and review Chaos Toolkit experiments. Its experiment builder, reusable templates, JSON import, execution journals, timelines,…

Read the review →

Tumult is an open-source chaos engineering platform for reliability, platform, and SRE teams. It provides web UI and CLI experiment authoring, with support for Kubernetes pods, deployments, nodes, and network policies; AWS, Azure, and GCP…

Read the review →
  1. ReliablyChaos Engineering Platforms 8.7Free plan
  2. TumultChaos Engineering Platforms 8.1Open source

Strengths and trade-offs

  • Reliably — where it wins

    • More than 300 actions and probes for experiment design
    • Runs through cloud, GitHub Actions, CLI, Docker, and Kubernetes
    • Free plan includes unlimited custom and GitHub executions

    Where it doesn't

    • Free plan is limited to one team member
    • Free plan includes only five custom experiments
    • Start limits cloud execution to 300 minutes per month
  • Tumult — where it wins

    • Risk-tiered approvals with quorum, TTL, and content-hash pinning
    • Kubernetes, multi-cloud, network, and system-fault experiment coverage
    • OpenTelemetry traces, DuckDB analytics, and compliance reports

    Where it doesn't

    • Self-hosted deployment requires a static binary or Docker image
    • Native experiment scheduling is not currently available
    • Integrations are centered on OpenTelemetry, Jaeger, and SigNoz

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

Last updated · How we research and update