Comparison

Radar vs Komodor: open-core, or proprietary?

Komodor is the most mature commercial Kubernetes troubleshooting SaaS in the market. Architecturally, we're in the same category — but the feature surface area, the licensing model, and the pricing philosophy all differ in ways that matter. Here's the honest breakdown.

Radar OSSApache 2.0
Self-hosted. Full engine. Free forever.

Helm chart in your cluster, topology and events out. No account, no demo, no SaaS trust. Commercial use allowed.

Radar CloudHosted SaaS
Published pricing. Free tier. Per cluster.

Hosted version of the same engine. $99/cluster/mo for Team — unlimited clusters, unlimited nodes, 30-day retention. Free for up to 3 clusters, no credit card. Enterprise is custom.

KomodorProprietary SaaS
Closed source. Custom pricing. Built-in AI.

Mature commercial platform with Klaudia (AI agent) and playbooks. Per-node pricing, demo-gated, 14-day trial.

The short version

Same category. Different bets. Komodor built a turnkey in-product AI (Klaudia), service catalog, and remediation playbooks. Radar bet on topology breadth, deeper Helm + audit tooling, an open-source core, and frontier-model AI via MCP rather than a purpose-built agent.

On core troubleshooting — timelines, search, alerts — the two are close. On AI, Komodor is turnkey; ours is composable with Claude / Cursor / any frontier LLM and lands in roughly the same place on most incidents. The differences that really separate us are feature emphasis, licensing, and pricing. Full breakdown below.

Four choices we've made differently

Why Radar isn't just “Komodor with different branding.”

The category is similar. The choices underneath are different.

Open-core, not open-wash

Radar OSS is genuinely usable standalone — not a toy version designed to funnel you to the SaaS. The OSS has topology, events, resources, Helm, traffic, audits — the full engine. Radar Cloud adds the team, retention, and SSO layer.

Published pricing

Starting prices are on the pricing page. The calculator shows you the number before you talk to us. Enterprise is custom (as it always is), but the Team tier is priced in public — $99 per cluster per month.

Per-cluster, not per-node

Cluster count is neutral to your workload shape. Per-node creates perverse incentives — bin-pack too tight and you hurt reliability; bin-pack too loose and you waste license cost. Per-cluster just scales with what you care about.

We won't cripple the OSS

Every commitment on our Open Source page is written to survive acquisitions, pivots, and investor conversations. The OSS stays Apache 2.0. Features don't get removed from OSS to push Radar adoption.

When to pick what

Fit first. Features next.

Some of this is a category decision. Some is a feature decision. We'll walk through both — category here, features next.

Komodor is the right call when

  • Turnkey, built-in AI experience
    If you want AI root-cause analysis inside the product with zero setup — no MCP wiring, no LLM-tooling choices — Komodor's Klaudia delivers that out of the box. A different bet than ours, and a valid one for teams that don't already run AI tools.
  • Longer enterprise track record
    Komodor has been around since 2020, has raised Series B, and has enterprise customers at scale. If procurement needs a “Series B+ company with 500+ customers” box ticked, that's real.
  • Mature remediation playbooks
    First-class playbook workflows that can run a pre-approved remediation script when specific conditions fire, plus a deeper alert-template library. Our automation layer is on the roadmap; theirs is shipped.
  • Deeper integrations in some areas
    Komodor has been building integrations longer — deeper ties with Datadog, New Relic, and similar observability stacks. If you need a specific integration on day one, check their catalog against ours.

Radar OSS is the right call when

  • Apache 2.0, zero cost, any size
    Komodor is proprietary, commercial-only, and demo-gated. Radar OSS is Apache 2.0 — free for one engineer or a thousand, no license server, no auth wall, no account creation.
  • Self-host for regulated or airgapped environments
    Komodor requires trusting a SaaS. Radar OSS runs in your cluster, your laptop, your isolated VPC. Nothing leaves your network. No outbound SaaS dependency at all.
  • Try before you buy — no demo required
    Bottom-up adoption path: one engineer runs Radar OSS, the team uses it, later someone evaluates Cloud. Komodor blocks the first step behind a sales call.
  • Full engine, not a teaser
    Topology, events, Helm, image filesystem, audits, MCP — all ship in OSS. We don't cripple the free version to funnel you upward.

Radar Cloud is the right call when

  • You want open source in the mix
    Radar's engine is Apache 2.0. You can run it locally, self-host, fork it, audit every line. For teams that use OSS as a requirement (regulated industries, security-conscious orgs, platform teams who value transparency), Komodor is a non-starter and Radar is the answer.
  • You want a free tier that isn't a 14-day trial
    Radar is free forever for up to 3 clusters. Komodor requires a demo to even trial it. For bottom-up adoption (an engineer tries it, then evangelizes up), the demo gate is a material friction point.
  • You want published, predictable pricing
    Radar's tiers and prices are on a pricing page. Komodor is custom. Platform-eng buyers have told us that “custom pricing” is often a tell that the number is uncomfortably high.
  • You price clusters, not nodes
    Per-node pricing incentivizes you to bin-pack workloads in ways you may not want (e.g., running many noisy-neighbor workloads on one box to save license cost). Per-cluster pricing is neutral to your workload shape.
  • You want SSO without Enterprise tier
    Both Radar and Komodor put SAML SSO in their Enterprise tier with a custom contract. Difference: Radar's Team tier at $99/cluster/mo still gives you Google/GitHub SSO out of the box, so small teams aren't blocked on a sales call.
  • You prefer bring-your-own-AI via MCP
    Radar exposes cluster state as a Model Context Protocol endpoint. Point Claude, Cursor, or your own agent at it. Komodor's AI is built-in and proprietary. If you already have AI infrastructure, the MCP model composes better.
Feature head-to-head

Six features where the two products diverge.

For each, here's what Radar actually ships and what Komodor actually ships — with an honest call on who's stronger. Where we win, we say it. Where they win, we say it too.

Topology & service graph

Radar wins
Radar

A live, interactive multi-cluster topology graph — every Deployment, Service, Ingress, and dependency rendered as nodes, with east-west traffic, error rates, and TLS health overlaid. Pan, zoom, filter by label. Designed for the “what depends on what, right now?” question.

Komodor

Service dependency maps exist, but they're listing-oriented more than graph-oriented. You see the dependencies, just not with the same spatial-intuition payoff. An eBPF traffic add-on is available.

AI-powered root cause

Tie
Radar

Radar exposes cluster state as a Model Context Protocol (MCP) endpoint. Point Claude, Cursor, or any frontier-model agent at your workspace and it reasons about your cluster with the latest model weights, natively. In practice this lands at parity with purpose-built agents — and it picks up every LLM improvement the frontier labs ship, automatically.

Komodor

Klaudia is Komodor's built-in AI agent. It correlates events, suggests root causes, and surfaces remediation steps in-product. Good fit for teams that want a fully turnkey experience and don't already have LLM tooling wired into their workflow.

Container-level debugging

Radar wins
Radar

Image filesystem viewer — browse the contents of any running container image without kubectl exec. See what's actually in the image, which is rare and genuinely useful when a “same” image is behaving differently across environments.

Komodor

Not offered today. Komodor leans on the Kubernetes resource model; container image inspection isn't in the product.

Helm release lifecycle

Radar wins
Radar

Full release manager across every cluster: revision history, values diffs (whitespace-aware), rendered-manifest viewer, and one-click rollback. Our Helm tooling is heavier than most teams expect for a “visibility” product.

Komodor

Helm releases appear in the UI with their status, but revision diffs and rollback aren't first-class the way they are in Radar. Most teams we've talked to keep using Helm CLI alongside Komodor.

Cluster audit & best-practices

Radar wins
Radar

31 built-in checks covering security, reliability, and CNCF best practices — continuously evaluated across every cluster, with a per-workload risk score and trend over time. You get value on day one with no policy authoring.

Komodor

Komodor ships a policy engine where you author the rules you care about. Great if your compliance story is custom and specific; slower if you just want sensible defaults out of the box.

Alerting & remediation

Komodor wins
Radar

Smart alert correlation (12 OOMKills become 1 Slack message, not 12), routed to Slack / PagerDuty / MS Teams / webhook. Noise reduction today is configuration; pre-built templates and auto-remediation playbooks are on the roadmap.

Komodor

Mature alert template library and first-class “playbook” workflows that can run a pre-approved remediation script when specific conditions fire. This is an area where Komodor's head start shows.

Score: Radar 4 · Komodor 1 · Tie 1 · on six features. A full 70-row matrix lives below, but those six are where the products genuinely diverge.
Feature by feature

The full comparison matrix.

70+ rows across topology, debugging, AI, Helm, audit, cost, collaboration, auth, pricing, retention, and compliance. Where a competitor is stronger, we say so. Where we're stronger, we say so. Where it's a wash, we mark both.

Feature
Radar
Open-core SaaS, per-cluster
Komodor
Proprietary SaaS, per-node
Licensing & transparency
Open-source core
Radar's engine is Apache 2.0 on GitHub. You can run it locally or self-host without Radar.
Apache 2.0 (radar OSS)
Proprietary
Self-hostable without the SaaS
Open-source agent code
The code that runs in your cluster.
GitHub stars
1.3k and growing
N/A (proprietary)
Community contributions welcomed
Deployment & architecture
Hosted SaaS option
In-cluster agent
Outbound-only connection (no inbound firewall)
BYOC / self-hosted control plane
Komodor offers air-gapped / on-prem Enterprise tier; Radar offers the same, plus the OSS core you can fully self-host.
Enterprise + self-hostable OSS core
Enterprise tier only
Multi-cluster support
US + EU data residency
Topology & dependency mapping
Interactive multi-cluster topology graph
A live, pannable, zoom-able graph of every workload and dependency.
Service map (less interactive)
Live east-west traffic visualization
Service-to-service traffic rates and error rates, rendered live.
Via eBPF add-on
Ingress flow tracing
Basic
TLS certificate expiry tracking
Staging vs prod drift diff
Partial
Incident debugging
Unified timeline of events, deploys, and alerts
Timeline rewind to any point in retention
Cross-cluster resource search
Image filesystem viewer
Inspect container image contents without kubectl exec — rare.
Embedded terminal / kubectl shell
Team tier
Enterprise tier
Log tailing across clusters
Via integrations (Loki, Datadog)
Built-in with retention
AI & automation
AI-powered root cause analysis
Radar routes cluster state through MCP to Claude/Cursor/any frontier-model agent. Komodor ships a purpose-built agent (Klaudia). In practice both arrive at useful answers.
Via MCP + frontier LLMs
Klaudia (built-in)
MCP / LLM agent integration
Expose cluster state as a Model Context Protocol endpoint.
Automated remediation workflows
Run a pre-approved script in response to an alert.
Roadmap
Playbooks
Smart alert correlation
Bundle related events into one message instead of spamming the channel.
Alert noise-reduction templates
Manual tuning
Pre-built library
Helm & package management
Helm release inventory across clusters
Revision history with diffs
See exactly what changed between Helm revisions, values-file-aware.
Listing only
One-click Helm rollback
Limited
Rendered-manifest viewer
Partial
Kustomize support
ArgoCD + Flux sync correlation on timeline
ArgoCD only
Cluster audit & compliance checks
Built-in security + best-practices checks
Out-of-the-box checks you get on day one.
31 CNCF-based checks
Policy engine (DIY rules)
Per-workload risk score
Different model
Drift score over time
Custom policy authoring
Roadmap
Export audit findings (CSV / SIEM)
Cost & resource intelligence
Cost insights (OpenCost)
Who's spending what — by workload, namespace, team.
Built-in, included
Add-on module
Idle-resource detection
Right-sizing recommendations
Basic
Chargeback reports
Enterprise
Team & collaboration
Shared workspace
Shareable deep-links
Slack / MS Teams / PagerDuty alerts
Webhooks + generic outgoing integrations
Annotations on resources
Service catalog / ownership registry
Who owns what, with on-call mappings.
Via labels
First-class feature
Auth & RBAC
Google + GitHub SSO (free tier)
Demo-gated
SAML / OIDC SSO
Enterprise (pricing public)
Enterprise (demo-gated)
SCIM provisioning
Enterprise (pricing public)
Enterprise (demo-gated)
Group-to-namespace RBAC
Inherits Kubernetes RBAC
Pricing
Free tier
Radar's Free plan is usable forever for up to 3 clusters. Komodor offers a 14-day trial but no permanent free tier.
Free forever, 3 clusters
14-day trial only
Pricing axis
Per-cluster pricing scales cleanly; per-node pricing incentivizes you to consolidate workloads in ways you may not want.
Per cluster
Per node / workload
Paid entry point
$99 / cluster / mo
Custom (demo required)
Annual discount
20% off
Negotiated
Published pricing
Roadie, Akuity, and Grafana all publish starting prices. Transparency matters to platform-eng buyers.
Data retention
Event timeline retention
30 days to 1 year
Plan-dependent
Audit log retention
7 days to unlimited
Enterprise
Export to SIEM via webhook
Compliance
SOC 2 Type 2
EU data residency
Enterprise
Public trust center
trust.skyhook.io
Available

Based on Komodor publicly documented features as of 2026. They ship fast; some details may be outdated. Let us know and we'll correct the page.

On pricing

Why the pricing model difference matters more than it looks.

Per-node pricing (Komodor)

The price scales with every EC2 instance, every GKE node, every bare-metal host. If your workloads scale horizontally (lots of small pods on lots of nodes), the bill grows fast. And you start thinking about bin-packing as a cost lever — which is a reliability anti-pattern.

Example: 5 clusters × 30 nodes avg = 150 nodes
@ $X per node/mo = $$$ / mo

Per-cluster pricing (Radar)

The price scales with clusters, which is usually a more meaningful unit (environment boundaries, not workload shape). You're neutral to bin-packing, so your infrastructure decisions are driven by reliability, not license cost.

Example: 5 clusters × $99/mo (Team) = $495 / mo
With annual billing (20% off): $396 / mo
Try the Radar pricing calculator
Day-to-day

How each platform handles the jobs they were both built for.

Incident timeline replay

Komodor

Strong — events, deploys, and alerts correlated on a unified timeline. AI (Klaudia) suggests root cause.

Radar

Strong — events, Helm revisions, and GitOps syncs on a unified timeline. MCP integration lets you use Claude/Cursor for root-cause analysis.

Onboarding a new engineer

Komodor

Share an invite, map to namespace via RBAC, demo required to start.

Radar

Same — minus the demo. Free tier means they sign up first, SSO maps Okta group, done.

Showing an auditor RBAC changes from last quarter

Komodor

Supported on Enterprise tier with long audit retention.

Radar

Supported on Enterprise tier with audit logs and 1-year+ retention.

Connecting to an air-gapped cluster

Komodor

Enterprise tier offers self-hosted / BYOC option.

Radar

Enterprise tier offers BYOC; alternatively, run Radar OSS entirely self-hosted with no Radar dependency.

FAQ

Questions we get about Komodor specifically.

Aren't Radar and Komodor the same thing?
Architecturally, yes — both are hosted SaaS platforms for Kubernetes troubleshooting with in-cluster agents, multi-cluster timelines, and team collaboration. The meaningful differences are: (1) licensing — Radar is Apache 2.0 at the core, Komodor is proprietary; (2) pricing model — Radar is per-cluster with a published free tier and published paid prices, Komodor is custom per-node/workload with a 14-day trial; (3) philosophy — Radar's openness is enforced by its license and our commitments, Komodor's isn't.
Is Komodor better at AI root cause analysis?
Different bet, not a clear ranking. Komodor ships Klaudia — a purpose-built in-product agent. Radar exposes cluster state via Model Context Protocol so you use Claude, Cursor, or any frontier-model agent directly — which means you get the latest model reasoning the day it ships, not when a vendor integrates it. On real incidents, both approaches reach useful answers. Our approach wins if you already have LLM tooling or want frontier-model quality; theirs wins if you want zero-setup turnkey AI and don't want to think about it.
Can I migrate from Komodor to Radar?
Yes. The installation pattern is similar (Helm chart in-cluster, outbound tunnel to SaaS). You can run both agents in parallel during a migration — they don't conflict. There's no historical data migration because neither tool pretends to own pre-existing Kubernetes events.
Is open source really a buying criterion for platform engineering?
For many orgs, yes. Three reasons: (1) regulated industries often require the option to inspect or self-host what runs in their clusters; (2) teams that already invested in OSS Kubernetes ecosystems (ArgoCD, Flux, Helm, Prometheus) prefer tools with similar DNA; (3) the OSS option provides an escape hatch — if the SaaS vendor pivots, prices you out, or gets acquired, you still have the core engine under a permissive license.
Is Radar as mature as Komodor?
In some dimensions yes, in some no. The core engine (topology, events, Helm, audit, image inspection) is deeper in Radar — partly because the OSS has been battle-tested by 1.2k stars' worth of users. What Komodor has longer is enterprise procurement history and a larger SaaS operations track record. If your evaluation needs “5+ years of uptime logs,” Komodor has that today; if your evaluation is about feature depth, we're competitive or ahead in most categories.
What about the Robusta comparison?
Robusta is another “open-source Kubernetes agent plus SaaS dashboard” player in this space. They're closer to Radar philosophically than Komodor is. We'll ship a dedicated Robusta comparison soon; short version is that Robusta's strength is alert automation / auto-remediation, and Radar's strength is visibility breadth (topology, Helm, images, traffic, audits).
Is this a fair comparison?
We've tried to be. Komodor's team is doing serious engineering work and has built something we respect. Where we're stronger (OSS, pricing transparency, free tier), we've said so. Where they're stronger (AI maturity, enterprise track record), we've said so. If you spot something inaccurate, email us and we'll correct it on the page.

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Radar OSS vs Radar Cloud

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