Datadog vs New Relic: what AI actually recommends
The same buying questions, run after run, to ChatGPT, Claude, Gemini, and Perplexity: the record of which of these two they name first. No opinions, no scores we invented: what the models said.
AI currently favors Datadog. Ahead in 2 of 2 shared categories on consensus rank.
That is the latest close, not a verdict for all time. The model-by-model board below shows where they agree, where they split, and how both brands moved.
At the latest close, Datadog leads 2 and New Relic leads 0 across the 2 categories they both appear in. The gap is widest in Website Uptime Monitoring, where the consensus scores read 31 and 7 on the 0-100 scale, and tightest in Monitoring & Observability.
Beyond this pairing, Datadog is ranked in 2 categories and sits at #1 in 1; New Relic is ranked in 2 categories. The board below is the shared slice, where the four models place these two side by side.
The record, category by category.
Consensus rank · latest close- #1DatadogNo change from the last closespread 0Gemini#1
- #4New RelicNo change from the last closespread 3Gemini#4
On consensus rank, Datadog leads here, #1 to New Relic's #4. 25 to 15 on the 0-100 score. Every model that separates the two ranks Datadog ahead.
- #4DatadogUp 5 from the last closespread 6Gemini#2PPLX#7
- #12New RelicNew entry at the last closespread 10PPLX#9
Datadog holds the edge in this category, #4 against New Relic's #12. 31 to 7 on the 0-100 score. No model ranks New Relic ahead in this category. Datadog climbed 5 since the last close.
What the models actually said.
The ranking is the answer; these are the words behind it. Every quote is from a recorded model answer — follow the category to read it whole.
Datadog
For a typical cloud-native engineering organization, I’d start with Datadog unless cost control or open-stack flexibility is the overriding concern.
ChatGPT
New Relic
New Relic — A very credible full-stack alternative to Datadog, especially for application-centric teams that want APM, infrastructure, logs, browser/mobile monitoring, and a common data model and query language.
ChatGPT
Datadog
Datadog Synthetic Monitoring — The strongest recommendation for teams already standardized on Datadog, because failed uptime and browser/API tests correlate directly with the metrics, logs, traces, RUM data, and SLO views used to investigate the incident.
ChatGPT
New Relic
New Relic Synthetics — A very good pick if New Relic is already your observability platform, since its synthetic monitors track uptime and page performance while exposing failure details, locations, alert incidents, and related application telemetry in the same environment.
ChatGPT
Where the models split.
Across the 2 categories Datadog and New Relic both appear in, the models never break ranks: in each one, the same brand leads on ChatGPT, Claude, Gemini, and Perplexity alike.
No model runs against the grain here: each of the four ranks Datadog ahead at least as often as not, with Gemini the most lopsided.
The race is tightest in Monitoring & Observability (3 ranks apart) and widest in Website Uptime Monitoring, where Datadog leads by 8.
- ChatGPTsplit 0-0
- Claudesplit 0-0
- Geminifavors Datadog 2-0
- Perplexityfavors Datadog 1-0