Head-to-head · AI DevOps Assistants
TigerOps vs Resolve AI
TigerOps leads on 0 checks, Resolve AI on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreTigerOps · 9.1/10
- Free planonly TigerOps
- Free trialonly TigerOps
TigerOps scores higher on our rubric for ai devops assistants: 9.1 against 8.6 out of 10; our editors rank them #2 and #6.
TigerOps is the better fit for teams wanting mature, broad incident automation. Resolve AI is the better fit for teams needing governed cross-system remediation.
- TigerOps fits best
Teams wanting mature, broad incident automation
- Resolve AI fits best
Teams needing governed cross-system remediation
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Side by side
| Feature | TigerOps 9.1/10 Visit ↗ | Resolve AI 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.6 |
| Ranking | #2 in AI DevOps Assistants | #6 in AI DevOps Assistants |
| Best for | Teams wanting mature, broad incident automation | Teams needing governed cross-system remediation |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | Pricing on request |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | 14 days | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Community | Email, Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML, 2FA | SOC 2, GDPR, HIPAA, SSO/SAML |
| Integrations | 275+ integrations | 60+ integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features TigerOps 4/4 · Resolve AI 4/4 | ||
| Incident response | ✓ | ✓ |
| Infra troubleshooting | ✓ | ✓ |
| Kubernetes support | ✓ | ✓ |
| Runbook automation | ✓ | ✓ |
| Specs | ||
| Deployment mode | Both | Both |
| Cloud platforms | AWS, GCP, Azure | AWS, GCP, Microsoft Azure |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | TigerOps is an agentic AI observability platform for DevOps, SRE, platform engineering, and development teams. It brings together metrics, traces, logs, and events to support incident detection, alert correlation, root-cause analysis, and… Read the review → |
Resolve AI provides AI agents for production engineering teams managing alerts, incidents, deployments, and recurring operational work. It supports alert triage and routing, parallel investigation across code, infrastructure, and… Read the review → |
Strengths and trade-offs
TigerOps — where it wins
- Correlates metrics, traces, logs, and events for root-cause analysis
- Supports AWS, Google Cloud, Azure, Kubernetes, and self-hosted deployment
- Automates runbooks, deployment rollbacks, and infrastructure scaling
Where it doesn't
- Free includes only 5 hosts and 1-day log and metric retention
- Free is limited to 1 GB of logs per day and basic dashboards
- Autonomous remediation, SSO, and custom data residency require Enterprise
Resolve AI — where it wins
- Investigates incidents across code, infrastructure, and telemetry
- Connects observability, cloud, code, collaboration, and knowledge tools
- Supports governed remediation through approvals, runbooks, and workflows
Where it doesn't
- Pricing requires a contact-sales process
- Its broad operational scope may require careful workflow governance
- Custom agents require MCP, APIs, or skills configuration
- TigerOps9.1/10 · Free plan · 14-day trial
Broad incident automation with multi-cloud monitoring, tracing, and runbook execution.
Visit TigerOpsFull verdict → - Resolve AI8.6/10 · Pricing on request
A broad AI operations platform for teams coordinating remediation across complex systems.
Visit Resolve AIFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update




