NRNew Relic
Teams that want an established observability platform to compare against Datadog for broad application monitoring and operational visibility.
New Relic is one of the most commonly co-mentioned peers in the provided context, which makes it a natural shortlist candidate for Datadog buyers. It is worth considering when you want to benchmark another major observability platform against Datadog’s metrics, logs, tracing, and alerting workflow.
Where New Relic wins- Placeholder: no independently supported win statements were provided in the supplied documents.
Where Datadog wins- Datadog’s product pages explicitly describe broad coverage across infrastructure, logs, APM, synthetics, real user monitoring, and network monitoring.
The supplied documents do not provide New Relic pricing, so a direct pricing comparison cannot be supported here.
GLGrafana Labs
Teams that are actively evaluating a highly visible observability peer and want to compare platform workflow, dashboards, and monitoring breadth.
Grafana Labs is a major co-mentioned alternative in the measured context, so it belongs on a Datadog alternatives page. Buyers often include it in comparisons when they are assessing how a different observability stack fits their existing monitoring and dashboarding approach.
Where Grafana Labs wins- Placeholder: no independently supported win statements were provided in the supplied documents.
Where Datadog wins- Datadog’s documents highlight integrated logs, traces, metrics, alerting, and user experience monitoring in one platform.
No pricing information for Grafana Labs appears in the supplied documents, so no price contrast can be stated.
DDynatrace
Organizations that want to compare Datadog with another top-tier observability platform in enterprise monitoring evaluations.
Dynatrace is another frequent peer in the measured context and should be evaluated when the selection process centers on enterprise observability. It is especially relevant for teams that are comparing how another platform handles full-stack visibility, alerting, and troubleshooting.
Where Dynatrace wins- Placeholder: no independently supported win statements were provided in the supplied documents.
Where Datadog wins- Datadog’s product documentation emphasizes end-to-end tracing, log correlation, dashboards, and alerting across the stack.
No Dynatrace pricing is present in the supplied documents, so pricing differences cannot be claimed.
SOSplunk Observability
Teams already considering Splunk-branded observability tools and wanting a direct alternative to Datadog.
Splunk Observability appears repeatedly in the measured context, so it is a legitimate alternative for Datadog buyers. It is a practical comparison point when you are reviewing observability capabilities alongside logging and operational analytics needs.
Where Splunk Observability wins- Placeholder: no independently supported win statements were provided in the supplied documents.
Where Datadog wins- Datadog’s pages emphasize unified infrastructure, application, log, synthetic, and real user monitoring within one service.
The supplied documents do not include Splunk Observability pricing, so no pricing contrast is available.
EOElastic Observability
Teams that want to compare Datadog with a search- and logging-adjacent observability platform.
Elastic Observability is named in the measured context and is a valid Datadog alternative for observability buyers. It is often part of shortlist discussions when teams want to evaluate how a different stack supports logs, metrics, traces, and troubleshooting workflows.
Where Elastic Observability wins- Placeholder: no independently supported win statements were provided in the supplied documents.
Where Datadog wins- Datadog’s documentation highlights navigation between logs, metrics, and traces, plus real-time dashboards and alerts.
No Elastic Observability pricing is included in the supplied documents, so pricing cannot be compared here.
