Software · head to head
Kibana vs Dynatrace Logs
The short version
- Each has a real cost: Kibana requires Elasticsearch; it is a front end for data held there rather than a standalone analytics tool; Dynatrace Logs log ingest and processing is billed at $0.20 per GiB, separately from retention and from query
- They diverge on capability: Kibana covers Data visualization, Dynatrace Logs covers Log analysis.
Where they differ
Only the attributes on which Kibana and Dynatrace Logs actually diverge.
| Attribute | Kibana | Dynatrace Logs |
|---|---|---|
| Pricing model | open-source | subscription |
| Founded | 2011 | 2005 |
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 Kibana
- Data visualization
- Dashboard creation
- Log discovery
- Alerting
Only in Dynatrace Logs
- Log analysis
- AI-powered insights
- Metrics integration
- Automated root cause
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.
Kibana
- Querying and visualising data held in Elasticsearchnot Dynatrace Logs
- Dashboards over log and metric datanot Dynatrace Logs
- Anomaly detection with machine learning jobsnot Dynatrace Logs
- Geospatial analysis on indexed location datanot Dynatrace Logs
- Alerting on query thresholdsnot Dynatrace Logs
Dynatrace Logs
- Ingesting and processing application and infrastructure logsnot Kibana
- Querying logs alongside traces and metrics in one platformnot Kibana
- Log driven alerting within an existing Dynatrace deploymentnot Kibana
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Kibana
- Requires Elasticsearch; it is a front end for data held there rather than a standalone analytics tool
- Self-managed means running and scaling the Elastic stack yourself
- Cost is not Kibana's own; it follows whichever Elastic deployment sits underneath
Dynatrace Logs
- Log ingest and processing is billed at $0.20 per GiB, separately from retention and from query
- Querying logs is charged in addition to ingest, either pay per query or as bundled queries
- Log analytics requires the same annual platform commitment as the rest of the Dynatrace platform
Pricing, plan by plan
Kibana
Free- FreeFree
- Data visualization
- Dashboard creation
- Log discovery
Dynatrace Logs
Free- FreeFree
- Log analysis
- AI-powered insights
- Metrics integration
Which should you pick?
Choose Kibana if
- You need data visualization.
- You want to start without paying.
- You work on Web, Api.
- You also want dashboard creation.
Choose Dynatrace Logs if
- You need log analysis.
- You want to start without paying.
- You work on Web, Api.
- You also want ai-powered insights.
Questions people ask
- Is Kibana or Dynatrace Logs better?
- Neither clearly leads. Kibana starts at Free and Dynatrace Logs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Kibana or Dynatrace Logs?
- Kibana starts at Free and Dynatrace Logs at Free.
- Does Kibana or Dynatrace Logs run on more platforms?
- Both run on Web, Api, so platform support will not decide this one for you.
- Can I use Kibana for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Kibana best used for?
- Kibana is most often used for querying and visualising data held in elasticsearch, dashboards over log and metric data, anomaly detection with machine learning jobs, geospatial analysis on indexed location data. Of those, querying and visualising data held in elasticsearch and dashboards over log and metric data are not what Dynatrace Logs is typically brought in for.
- What can Kibana do that Dynatrace Logs cannot?
- Kibana covers Data visualization, Dashboard creation, Log discovery, Alerting. Dynatrace Logs covers Log analysis, AI-powered insights, Metrics integration, Automated root cause. Both handle API, Webhooks, REST, Web support.
Related pages
More on Dynatrace Logs
Keep looking
Other head to heads
- Kibana vs Elastic Stack
- Kibana vs New Relic
- Kibana vs Datadog Logs
- Kibana vs Coralogix
- Kibana vs Grafana Loki
- Kibana vs CloudWatch
- Kibana vs Dynatrace
- Kibana vs InfluxDB
- Kibana vs Airbrake
- Kibana vs AppDynamics
- Kibana vs Axiom
- Kibana vs Azure Monitor
- Kibana vs Better Stack
- Kibana vs Bugsnag
- Kibana vs Elastic
- Kibana vs Elastic APM
- Kibana vs Elasticsearch Service
- Kibana vs ELK Stack
- Dynatrace Logs vs Elastic Stack
- Dynatrace Logs vs New Relic
- Dynatrace Logs vs Datadog Logs
- Dynatrace Logs vs Coralogix
- Dynatrace Logs vs Grafana Loki
- Dynatrace Logs vs CloudWatch
- Dynatrace Logs vs Dynatrace
- Dynatrace Logs vs InfluxDB
- Dynatrace Logs vs Airbrake
- Dynatrace Logs vs AppDynamics
- Dynatrace Logs vs Axiom
- Dynatrace Logs vs Azure Monitor
- Dynatrace Logs vs Better Stack
- Dynatrace Logs vs Bugsnag
- Dynatrace Logs vs Elastic
- Dynatrace Logs vs Elastic APM
- Dynatrace Logs vs Elasticsearch Service
- Dynatrace Logs vs ELK Stack


