Datadog vs New Relic

Datadog and New Relic present fundamentally different cost structures for observability. Datadog operates on a tiered subscription model ranging from $0.00 to $70.00/mo, which restricts you to a meager 1 GB of log volume and limits monitored targets to between 1 and 5. New Relic shifts the model toward a free-tier entry point that includes 100 GB of logs and unlimited monitored targets, though it enforces seat counts that start at 5 users. While Datadog allows for unlimited seats on their paid tiers, the cost of scaling log ingestion quickly outpaces the platform's initial entry price.

• Datadog charges a more reasonable $0.10/GB for log storage overages, making it the cheaper option for high-volume telemetry if you are already locked into their ecosystem.
• New Relic imposes a steep $0.40/GB penalty for exceeding your monthly log allocation, which can blindside teams running verbose debug-level logging.
• Neither provider offers explicit memory limits for their hosted agents, but Datadog agents often show higher CPU and RAM overhead on legacy AMD EPYC or ARM-based instances compared to the leaner New Relic instrumentation.

The decision between these two often comes down to your team's log verbosity. If your application stack produces massive amounts of unstructured logs, Datadog’s lower overage fee protects the budget, even if the base subscription starts with higher costs and tighter target counts. New Relic is the better choice for organizations that need immediate, unlimited visibility across a large microservices footprint without paying for individual monitored entities, provided they can keep log ingestion under the 100 GB threshold to avoid the aggressive overage tax. You are ultimately choosing between paying for the privilege of monitoring many targets or paying for the volume of data those targets generate.