As cloud-native environments continue to grow in complexity, observability has become essential for ensuring the reliability, performance, and scalability of modern applications. From monitoring infrastructure health, enabling deep visibility into distributed systems, or getting real-time insights into reasoning paths, token usage of LLM Agentic applications. However, traditional vendors sliced visibility into separate products (APM, Log Management, Infrastructure Monitoring, LLM Observability) and priced them in ways that forced tradeoffs making it important for team to choosing the right observability platform is critical to operational success.
Some simple comparisons of some popular Observability tool that breaks down their strengths, pricing models, and trade-offs to help teams choose the right observability platform for their priorities—whether that’s cost efficiency, deployment flexibility, or depth of insights.
[Datadog vs Dynatrace](https://www.groundcover.com/comparison/datadog-vs-dynatrace)
[Grafana vs New Relic](https://www.groundcover.com/comparison/new-relic-vs-grafana-cloud)
[Dynatrace vs New Relic](https://www.groundcover.com/comparison/new-relic-vs-dynatrace)
[Grafana vs Datadog](https://www.groundcover.com/comparison/datadog-vs-grafana-cloud)
[New Relic vs Datadog](https://www.groundcover.com/comparison/datadog-vs-new-relic)
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