Log Management · head to head
Dynatrace vs Raygun

Dynatrace
Log Management
Application Performance Management and Observability
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Dynatrace pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase; Raygun crash Reporting error data is retained for 180 days and Real User Monitoring sessions for only 60 days; longer retention is Enterprise only
- They diverge on capability: Dynatrace covers AI-powered analytics, Raygun covers Crash reporting.
Where they differ
Only the attributes on which Dynatrace and Raygun actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Web, Api), user rating (Not yet rated), category (Log Management).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Dynatrace
- AI-powered analytics
- APM
- Infrastructure monitoring
- Log analysis
Only in Raygun
- Crash reporting
- Real user monitoring
- Performance tracking
- Source maps
Both cover
- API
- Webhooks
- REST
- Web support
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Dynatrace
- Full stack application performance monitoring with automatic dependency discoverynot Raygun
- Kubernetes and container platform observability priced per podnot Raygun
- Log ingest, processing and query analyticsnot Raygun
- Real user monitoring and session replay for web applicationsnot Raygun
Raygun
- Crash and error reporting for web, mobile and backend applicationsnot Dynatrace
- Real user monitoring of front end page load and session performancenot Dynatrace
- Application performance monitoring with request level tracesnot Dynatrace
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dynatrace
- Pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
- Full-Stack Monitoring is priced at $58 per month per 8 GiB of host memory, so a 64 GiB host counts as eight units
- Infrastructure Monitoring at $29 per host per month excludes code level tracing, which requires Full-Stack
- Session Replay doubles Real User Monitoring cost from $2.25 to $4.50 per 1,000 sessions
- Runtime Vulnerability Analytics and Runtime Application Protection are each charged separately at $13 per month per 8 GiB host on top of monitoring
Raygun
- Crash Reporting error data is retained for 180 days and Real User Monitoring sessions for only 60 days; longer retention is Enterprise only
- Crash Reporting, Real User Monitoring and APM are billed as three separate products, each metered on its own unit of errors, sessions or traces
- A Real User Monitoring session ends after 30 minutes of inactivity, so a single visit spanning breaks is billed as several sessions
- Usage beyond the plan allowance is billed on demand at $0.001 per error and $0.002 per session or trace
- Enterprise plan pricing is custom with no published rate
Pricing, plan by plan
Dynatrace
Free- FreeFree
- AI-powered analytics
- APM
- Infrastructure monitoring
Raygun
Free- FreeFree
- Crash reporting
- Real user monitoring
- Performance tracking
Which should you pick?
Choose Dynatrace if
- You need ai-powered analytics.
- You want to start without paying.
- You work on Web, Api.
- You also want apm.
Choose Raygun if
- You need crash reporting.
- You want to start without paying.
- You work on Web, Api.
- You also want real user monitoring.
Questions people ask
- Is Dynatrace or Raygun better?
- Neither clearly leads. Dynatrace starts at Free and Raygun at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dynatrace or Raygun?
- Dynatrace starts at Free and Raygun at Free.
- Does Dynatrace or Raygun run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- Can I use Dynatrace for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dynatrace best used for?
- Dynatrace is most often used for full stack application performance monitoring with automatic dependency discovery, kubernetes and container platform observability priced per pod, log ingest, processing and query analytics, real user monitoring and session replay for web applications. Of those, full stack application performance monitoring with automatic dependency discovery and kubernetes and container platform observability priced per pod are not what Raygun is typically brought in for.
- What can Dynatrace do that Raygun cannot?
- Dynatrace covers AI-powered analytics, APM, Infrastructure monitoring, Log analysis. Raygun covers Crash reporting, Real user monitoring, Performance tracking, Source maps. Both handle API, Webhooks, REST, Web support.
Related pages
Other head to heads
- Dynatrace vs Elastic Stack
- Dynatrace vs New Relic
- Dynatrace vs Datadog Logs
- Dynatrace vs Coralogix
- Dynatrace vs Grafana Loki
- Dynatrace vs CloudWatch
- Dynatrace vs InfluxDB
- Dynatrace vs Airbrake
- Dynatrace vs AppDynamics
- Dynatrace vs Axiom
- Dynatrace vs Azure Monitor
- Dynatrace vs Better Stack
- Dynatrace vs Bugsnag
- Dynatrace vs Dynatrace Logs
- Dynatrace vs Elastic
- Dynatrace vs Elastic APM
- Dynatrace vs Elasticsearch Service
- Dynatrace vs ELK Stack
- Raygun vs Elastic Stack
- Raygun vs New Relic
- Raygun vs Datadog Logs
- Raygun vs Coralogix
- Raygun vs Grafana Loki
- Raygun vs CloudWatch
- Raygun vs InfluxDB
- Raygun vs Airbrake
- Raygun vs AppDynamics
- Raygun vs Axiom
- Raygun vs Azure Monitor
- Raygun vs Better Stack
- Raygun vs Bugsnag
- Raygun vs Dynatrace Logs
- Raygun vs Elastic
- Raygun vs Elastic APM
- Raygun vs Elasticsearch Service
- Raygun vs ELK Stack

