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Observability platforms · October 2026 Edition

New Relic vs SigNoz

Nine of fourteen models named New Relic first on the direct prompt; zero named SigNoz. New Relic was named by fourteen of the fourteen models and SigNoz by twelve and New Relic carries 63 labels and SigNoz 20, so the shares are not directly comparable.

New Relic

accepted challenger

Named in eight categories this edition.

SigNoz

accepted challenger

Named in eight categories this edition.

First-choice share27%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 12; printed, not drawn.
Labels6320A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, New Relic reading right to left. Rank and label count are printed, not drawn.Grafana was named alongside these two in eight of the fourteen direct answers. Grafana vs New Relic · Grafana vs SigNoz · New Relic vs Datadog

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the observability platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
New RelicFirst choices, of fourteen modelsSigNoz
Direct90
Paraphrase60
Comparative20
Budget-constrained252 against New Relic · 1 against SigNoz
Scale-constrained10
Negative007 against New Relic
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, New Relic and SigNoz were named in the same answer 138 times, of the 720 answers naming New Relic and the 223 naming SigNoz. In those answers SigNoz took the first choice twenty times and New Relic thirty-two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where New Relic and SigNoz stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
New Relic SigNoz first choice named as an alternative argued againstblank: not namedEach cell is one answer, New Relic on the left and SigNoz on the right.

The direct prompt

The plain question, one answer per model, grouped by where New Relic and SigNoz stood in it.

New Relic first, SigNoz an alternative

9 of 14 modelsSigNoz was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5New Relic alternatives: Atatus, Datadog, Elastic Observability, Grafana, Grafana Labs' LGTM+ stack, Motadata ObserveOps
GPT-5.4 miniNew Relic alternatives: Dynatrace, Grafana
Grok 4.1 FastNew Relic alternatives: Datadog, Dynatrace, Grafana Labs
Mistral SmallGrafana, New Relic alternatives: Middleware.io, OpenObserve
DeepSeek V4 FlashNew Relic alternatives: Elastic Observability, Grafana
Llama 4 MaverickNew Relic alternatives: Datadog, Motadata ObserveOps
Qwen 3.7 FlashGrafana, New Relic
Kimi K2New Relic alternatives: Grafana, SigNoz
GLM 4.7 FlashXNew Relic alternatives: Datadog, Grafana + Prometheus, Splunk Observability Cloud

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashHoneycomb alternatives: Grafana, New Relic
GPT-6 LunaDatadog alternatives: Grafana, Honeycomb, New Relic
Muse Glimmer 30BDatadog alternatives: Atatus, Middleware.io, New Relic, OpenObserve, Sematext

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity SonarDatadog alternatives: Coralogix, Middleware.io, Motadata ObserveOps, OpenObserve
MiniMax M2.5Datadog, Grafana Labs alternatives: Dynatrace

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
New Relic leads by three points.
New Relic15%#2 of 12
SigNoz11%#3 of 12
The full small business standing →
Mid-marketThe figures above
New Relic leads by twenty points.
New Relic27%#2 of 12
SigNoz8%#4 of 12
The full mid-market standing →
Enterprise
New Relic leads by ten points.
New Relic12%#3 of 10
SigNoz2%#– of 10
The full enterprise standing →

What the models said about New Relic

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“| New Relic/Datadog | SaaS | Limited free | High ($0.35/GB + users) | Avoid for tight budgets |” Grok 4.1 Fast · budget prompt · hard negative
“New Relic Why be cautious: - Complex pricing model” Kimi K2 · negative prompt · hard negative
“New Relic is recommended for teams wanting all telemetry types on a single ingest meter with a genuinely useful free tier” Claude Haiku 4.5 · direct prompt · first choice

What the models said about SigNoz

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“managing a ClickHouse cluster in production requires active maintenance, upgrades, and schema knowledge—which can become a "hidden" operational cost” Gemini 3.5 Flash · budget prompt · soft negative
“SigNoz is recommended for cost-conscious startups, as it provides traces, logs, and metrics in one place without per-host or per-seat pricing” Claude Haiku 4.5 · budget prompt · first choice
“or SigNoz self-hosted if you have infrastructure capacity and want complete control with no licensing fees” Kimi K2 · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.