Software · head to head
Datadog vs Dynatrace

Dynatrace
Software
Application Performance Management and Observability
- From
- Free
- Rated
- -
The short version
- Only Dynatrace has a free tier, so it costs nothing to try first.
- Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Dynatrace pricing is commitment based: rates require an annual platform level commitment rather than month to month purchase
- They diverge on capability: Datadog covers Application performance monitoring, Dynatrace covers AI-powered analytics.
Where they differ
Only the attributes on which Datadog and Dynatrace actually diverge.
Identical on both: 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 Datadog
- Application performance monitoring
- Log management
- Real user monitoring
- Synthetic monitoring
- Security monitoring
- Network monitoring
- Serverless monitoring
- AWS
Only in Dynatrace
- AI-powered analytics
- APM
- Log analysis
- API
- Webhooks
- REST
- Web support
- Api support
Both cover
- Infrastructure monitoring
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot Dynatrace
- Application performancenot Dynatrace
- Security monitoringnot Dynatrace
- Log analysisnot Dynatrace
- Cloud monitoringnot Dynatrace
Dynatrace
- Full stack application performance monitoring with automatic dependency discoverynot Datadog
- Kubernetes and container platform observability priced per podnot Datadog
- Log ingest, processing and query analyticsnot Datadog
- Real user monitoring and session replay for web applicationsnot Datadog
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Datadog
- Consumption-based pricing model makes costs hard to predict and can scale quickly
- Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
- No free tier for production monitoring
- High costs for organizations with large amounts of log data or high-cardinality metrics
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
Pricing, plan by plan
Datadog
$15/month- Infrastructure Monitoring$15/month
- Host monitoring
- Basic dashboards
- APM$31/month
- Application performance monitoring
- Trace collection
- Log Management$0.1/gb
- Log indexing
- Search and filter
Dynatrace
Free- FreeFree
- AI-powered analytics
- APM
- Infrastructure monitoring
Which should you pick?
Choose Datadog if
- You need application performance monitoring.
- You work on Web, Linux, Windows, macOS.
- You also want log management.
Choose Dynatrace if
- You need ai-powered analytics.
- You want to start without paying.
- You work on Web, Api.
- You also want apm.
Questions people ask
- Is Datadog or Dynatrace better?
- Neither clearly leads. Datadog starts at $15/month and Dynatrace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or Dynatrace?
- Dynatrace has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Dynatrace.
- Does Datadog or Dynatrace run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. Dynatrace runs on Web, Api.
- Can I use Dynatrace for free?
- Yes. Dynatrace has a free tier, so you can try it without paying. Datadog starts at $15/month.
- What is Datadog best used for?
- Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Dynatrace is typically brought in for.
- What can Datadog do that Dynatrace cannot?
- Datadog covers Application performance monitoring, Log management, Real user monitoring, Synthetic monitoring. Dynatrace covers AI-powered analytics, APM, Log analysis, API. Both handle Infrastructure monitoring.
Answered from the vendors’ own pages
Datadog: How is Datadog pricing structured?
Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.
SourceDatadog: Does Datadog offer a free tier?
Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.
SourceDatadog: What integrations does Datadog support?
Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.
SourceDatadog: Can Datadog monitor Kubernetes clusters?
Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.
SourceDatadog: How can I reduce Datadog costs?
Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.
SourceRelated pages
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