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Infrastructure monitoring · October 2026 Edition

Datadog vs Grafana

Six of fourteen models named Datadog first on the direct prompt; one named Grafana. Datadog was named by fourteen of the fourteen models and Grafana by twelve and Datadog carries 59 labels and Grafana 33, so the shares are not directly comparable.

Datadog

criticized challenger

Named in eight categories this edition.

Grafana

accepted challenger

Named in five categories this edition.

First-choice share28%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate41%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 13; printed, not drawn.
Labels5933A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Datadog reading right to left. Rank and label count are printed, not drawn.New Relic was named alongside these two in eight of the fourteen direct answers. Datadog vs Zabbix · Datadog vs New Relic · Datadog vs ManageEngine OpManager

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 infrastructure monitoring page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DatadogFirst choices, of fourteen modelsGrafana
Direct613 against Datadog
Paraphrase602 against Datadog · 1 against Grafana
Comparative501 against Datadog
Budget-constrained003 against Datadog
Scale-constrained213 against Datadog
Negative0012 against Datadog · 1 against Grafana
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, Datadog and Grafana were named in the same answer 241 times, of the 664 answers naming Datadog and the 292 naming Grafana. In those answers Grafana took the first choice fifty-one times and Datadog forty-five.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Datadog and Grafana 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
Datadog Grafana first choice named as an alternative argued againstblank: not namedEach cell is one answer, Datadog on the left and Grafana on the right.

The direct prompt

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

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
GLM 4.7 FlashXDatadog, Grafana alternatives: Dynatrace, ManageEngine OpManager, New Relic

Datadog first, Grafana an alternative

5 of 14 modelsGrafana was named in the answer but not as the choice, or not at all.
GPT-5.4 miniDatadog alternatives: Dynatrace, Grafana, New Relic
Qwen 3.7 FlashDatadog alternatives: Grafana, Middleware.io, Paessler PRTG, Prometheus + Grafana, Zabbix
MiniMax M2.5Datadog alternatives: ManageEngine OpManager, Prometheus + Grafana, Sematext
GPT-6 LunaDatadog alternatives: Grafana, New Relic
Muse Glimmer 30BDatadog alternatives: LogicMonitor, ManageEngine OpManager, Paessler PRTG, Prometheus + Grafana, Site24x7, Zabbix

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 FlashNew Relic alternatives: Better Stack, Grafana, LogicMonitor, Site24x7
Perplexity SonarPaessler PRTG alternatives: Datadog, ManageEngine OpManager, New Relic, Site24x7, Zabbix
Grok 4.1 FastNew Relic alternatives: Datadog, ManageEngine OpManager, Site24x7

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Mistral SmallManageEngine OpManager, Site24x7 alternatives: Netdata
DeepSeek V4 FlashSite24x7 alternatives: Grafana Stack, ManageEngine OpManager, New Relic
Llama 4 Maverickno first choice
Kimi K2LogicMonitor alternatives: Better Stack, New Relic, Paessler PRTG, Site24x7

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 seven points.
Grafana12%#4 of 14
Datadog5%#8 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: Datadog leads at mid-market.
Datadog28%#1 of 13
Grafana4%#6 of 13
The full mid-market standing →
Enterprise
Datadog leads by forty-one points.
Datadog41%#1 of 14
Grafana0%#8 of 14
The full enterprise standing →

What the models said about Datadog

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

“costs escalate rapidly, with log management and APM billed separately ... making it hard to predict monthly costs” Claude Haiku 4.5 · negative prompt · hard negative
“It is the go-to for SaaS B2B teams already on AWS/Azure/GCP who want rapid onboarding and SaaS management, but it is metered and can get expensive at scale.” Muse Glimmer 30B · direct prompt · first choice

What the models said about Grafana

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

“The Open-Standard / Developer-Preferred (Highly Recommend for 2026) * Grafana Cloud: Excellent for engineering-driven cultures.” Gemini 3.5 Flash · scale 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.