Bugsnag vs LogicMonitor Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Bugsnag LogicMonitor
Starts at $20/mo $16/mo
Number of plans 4 3
Free plan
Free trial
Pricing model usage-based usage-based

Free

$0/mo
  • 1 user
  • Error and performance monitoring
  • 7.5K events and 1M spans per month
  • 50+ platforms
  • 30+ third-party integrations

Select

$20/mo
  • Unlimited users
  • End-to-end diagnostics
  • Basic notifications

Preferred

Popular
$33/mo
  • Automatic error prioritization
  • Stability benchmarks
  • Advanced segmentation
  • Custom notifications
  • SAML single sign-on
  • System Metrics (CPU, Memory, Rendering)

Enterprise

Custom
  • Automatic error assignment
  • Premium support
  • Dedicated Customer Success Manager
  • Automatic user provisioning via SSO
  • Feature flags & experiments
  • On premises or SaaS deployment
  • Sensitive data management

Essentials

$16/mo

Advanced

$27/mo

Signature + Edwin AI

$53/mo

Bugsnag vs LogicMonitor FAQ

Which one is cheaper?
LogicMonitor is the cheaper option, starting at $16/mo vs $20/mo for Bugsnag.
Can I use either one for free?
Bugsnag has a free plan. LogicMonitor doesn't — though they do offer a free trial.
How do they charge?
Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. Bugsnag: Bugsnag sits in the mid-market lane — not the free-forever open-source alternative, not the enterprise-only observability giant charging six figures. The low sticker prices ($20, $33) are a hook to look affordable next to Sentry or Datadog, but usage-based scaling means they're really competing for teams that'll grow into bigger spend over time. LogicMonitor: LogicMonitor sits in the premium-mid tier of infrastructure monitoring, priced above scrappier tools like Zabbix or open-source Prometheus setups but below full-blown enterprise observability suites like Datadog at scale. They're courting mid-market and enterprise IT ops teams who want SaaS simplicity without building their own stack, and who'll tolerate a steeper price for less integration overhead.

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