Software · head to head
Dynatrace vs Logstash

Dynatrace
Software
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; Logstash logstash's source is dual licensed: code outside the x-pack directory is Apache License 2.0, but code inside x-pack (which carries several of Logstash's monitoring and management features) is licensed under the Elastic License, not a fully open source license
- They diverge on capability: Dynatrace covers AI-powered analytics, Logstash covers Data ingestion.
Where they differ
Only the attributes on which Dynatrace and Logstash actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Web, Api), user rating (Not yet rated), category (Unknown).
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 Logstash
- Data ingestion
- Event parsing
- Data transformation
- Multiple input sources
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 Logstash
- Kubernetes and container platform observability priced per podnot Logstash
- Log ingest, processing and query analyticsnot Logstash
- Real user monitoring and session replay for web applicationsnot Logstash
Logstash
- Log monitoringnot Dynatrace
- Application performancenot Dynatrace
- Security analyticsnot Dynatrace
- Troubleshootingnot 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
Logstash
- Logstash's source is dual licensed: code outside the x-pack directory is Apache License 2.0, but code inside x-pack (which carries several of Logstash's monitoring and management features) is licensed under the Elastic License, not a fully open source license
Pricing, plan by plan
Dynatrace
Free- FreeFree
- AI-powered analytics
- APM
- Infrastructure monitoring
Logstash
Free- FreeFree
- Data ingestion
- Event parsing
- Data transformation
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 Logstash if
- You need data ingestion.
- You want to start without paying.
- You work on Web, Api.
- You also want event parsing.
Questions people ask
- Is Dynatrace or Logstash better?
- Neither clearly leads. Dynatrace starts at Free and Logstash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dynatrace or Logstash?
- Dynatrace starts at Free and Logstash at Free.
- Does Dynatrace or Logstash 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 Logstash is typically brought in for.
- What can Dynatrace do that Logstash cannot?
- Dynatrace covers AI-powered analytics, APM, Infrastructure monitoring, Log analysis. Logstash covers Data ingestion, Event parsing, Data transformation, Multiple input sources. Both handle API, Webhooks, REST, Web support.
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