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Observability platforms · November 2026 Edition

Grafana vs Datadog

Three of fourteen models named Grafana first on the direct prompt; eleven named Datadog. Both were named by all fourteen models and Grafana carries 74 labels and Datadog 76, so the shares are not directly comparable.

Grafana

endorsed leader

Named in nine categories this edition.

Datadog

criticized challenger

Named in nine categories this edition.

First-choice share32%27%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%37%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 10; printed, not drawn.
Labels7476A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Grafana reading right to left. Rank and label count are printed, not drawn.New Relic was named alongside these two in twelve of the fourteen direct answers. Grafana vs New Relic · Grafana vs SigNoz · Grafana vs Prometheus

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.
GrafanaFirst choices, of fourteen modelsDatadog
Direct3111 against Datadog
Paraphrase444 against Datadog
Comparative05
Budget-constrained11011 against Datadog
Scale-constrained11
Negative203 against Grafana · 12 against Datadog
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 November 2026 Edition, Grafana and Datadog were named in the same answer 280 times, of the 332 answers naming Grafana and the 692 naming Datadog. In those answers Datadog took the first choice seventy-one times and Grafana sixty-three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Grafana and Datadog stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Grafana Datadog first choice named as an alternative argued againstblank: not namedEach cell is one answer, Grafana on the left and Datadog on the right.

The direct prompt

The plain question, one answer per model, grouped by where Grafana and Datadog stood in it.

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Claude Haiku 4.5Datadog, Grafana, New Relic

Grafana first, Datadog an alternative

2 of 14 modelsDatadog was named in the answer but not as the choice, or not at all.
Kimi K2Grafana, Honeycomb
MiniMax M2.5Grafana, LogicMonitor alternatives: Cribl Stream, Datadog

Datadog first, Grafana an alternative

10 of 14 modelsGrafana was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashDatadog alternatives: Grafana, Honeycomb, New Relic
Perplexity SonarDatadog alternatives: Grafana, New Relic, SigNoz
Grok 4.20Datadog alternatives: Grafana, LogicMonitor, New Relic
Mistral SmallDatadog, New Relic alternatives: Grafana, IBM Instana
DeepSeek V4 FlashDatadog alternatives: Grafana, Honeycomb, New Relic, SigNoz
Llama 4 MaverickDatadog alternatives: New Relic, SigNoz, SolarWinds Observability
Qwen 3.7 FlashDatadog alternatives: Dynatrace, New Relic
GLM 4.7 FlashXDatadog, New Relic alternatives: Splunk Observability Cloud
GPT-6 LunaDatadog alternatives: Grafana, New Relic
Muse Glimmer 30BDatadog alternatives: Grafana, LogicMonitor, New Relic

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniNew Relic alternatives: Datadog, Grafana

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
Grafana leads by twenty-seven points.
Grafana38%#1 of 13
Datadog11%#4 of 13
The full small business standing →
Mid-marketThe figures above
Grafana leads by five points.
Grafana32%#1 of 10
Datadog27%#2 of 10
The full mid-market standing →
Enterprise
The order flips: Datadog leads at enterprise.
Datadog38%#1 of 10
Grafana2%#5 of 10
The full enterprise standing →

What the models said about Grafana

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

“Grafana OSS (with Prometheus, Loki, Tempo) or New Relic's free tier are typically the strongest options for a company with a limited budget.” Grok 4.20 · budget prompt · first choice
“1. Open-Source Stack (Most Economical) Prometheus + Grafana + OpenTelemetry - Cost: Completely free (open source)” GLM 4.7 FlashX · budget prompt · first choice
“Safer Alternatives to Consider | Grafana Cloud | Open source foundation, transparent pricing, strong OpenTelemetry” Kimi K2 · negative prompt · first choice

What the models said about Datadog

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

“Alternatives to Avoid on Tight Budgets: High-end leaders like Datadog or Splunk excel in features but often lead to bill shock” Grok 4.20 · budget prompt · hard negative
“High Caution: Datadog ... Surprise billing - Complex, à la carte pricing across 40+ products that compounds unpredictably” Kimi K2 · negative prompt · hard negative
“Start with Datadog if your team is already deeply invested in AWS/Azure/GCP ecosystems and you value a rich ecosystem of integrations above all else.” Qwen 3.7 Flash · direct 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.