Index › Products › Datadog Agent · October 2026 Edition

Datadog · 1 category · Named, not ranked

Datadog Agent

4Judge labels

0First choices

1Negative labels

3 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Datadog Agent was named 3 times in Telemetry pipelines, where OpenTelemetry Collector led with 37%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business65 of 103

under the label threshold

Mid-market89 of 124

under the label threshold

Enterprisenot named

No model named it for this buyer.

In telemetry pipelines · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Datadog Agent for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Telemetry pipelines	IT operations and endpoint	0%	89 of 124	33%	3	under 10 labels · led by OpenTelemetry Collector at 37%

Movement

This is the first edition on this tier, so no move can be computed for Datadog Agent yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Datadog Agent across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	0	1	1
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	0	0	0
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	1	0	1
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	1	0	0	1
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct2 labelsNone

Paraphrase1 labelNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative4 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Great if you're already using Datadog” MiniMax M2.5 · Telemetry pipelines · paraphrase prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“proprietary collector agents (e.g., Datadog Agent, Splunk Heavy Forwarder, Dynatrace OneAgent)” Gemini 3.5 Flash · Telemetry pipelines · negative prompt · soft negative

Named alongside

The products named in the same answers as Datadog Agent, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Datadog Agent was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Vector4 of 42Not among the top eight

Fluent Bit2 of 41Not among the top eight

Grafana Alloy2 of 41Not among the top eight

OpenTelemetry Collector2 of 41Not among the top eight

Cribl Stream2 of 40Not among the top eight

Fluentd2 of 40Not among the top eight

Logstash2 of 40Not among the top eight

New Relic2 of 40Not among the top eight

Grafana Cloud1 of 41Not among the top eight

Amazon Kinesis Data Streams1 of 40Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Datadog Agent. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 3 of the 4 answers that named Datadog Agent and are not a share of its labels.

Domains cited

external.pi.gpi.aws.gartner.com2

worldmetrics.org2

zipdo.co2

aiopsschool.com1

algoramming.com1

aptosolutions.co.uk1

augmentcode.com1

chronosphere.io1

cribl.io1

datadoghq.comYour site1

Twelve of the thirteen domain citations in answers naming Datadog Agent came from somebody else's page.

Pages cited

external.pi.gpi.aws.gartner.com/reviews/market/telemetry-pipelines2

worldmetrics.org/best/telemetry-software2

zipdo.co/best/telemetry-data-software2

aiopsschool.com/blog/telemetry-pipeline1

algoramming.com/blogs/observability-startups-opentelemetry-budget1

aptosolutions.co.uk/lp/the-telemetry-pipeline-playbook-whitepaper1

augmentcode.com/tools/best-observability-platforms1

chronosphere.io/platform/telemetry-pipeline1

Pages are listed as the models cited them.

Follow Datadog Agent

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Datadog is the company behind Datadog Agent.

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On record

Company records

Also from Datadog: Datadog AIOps, Datadog APM, Datadog Cloud Cost Management, Datadog Cloud SIEM, Datadog Cloud Security, Datadog Cloud Security Management, Datadog Data Observability, Datadog Error Tracking and 13 more

In its own words

Stated by the vendor, not checked

Positioning: software that runs on your hosts. It collects events and metrics from hosts and sends them to Datadog, where you can analyze your monitoring and performance data.
docs.datadoghq.com/agent
Free plan or trial: No credit card required. By signing up, you agree to the Subscription Agreement and Privacy Policy. Get 14 days of unlimited monitoring. datadoghq.com/install-datadog-agent
Integrations claimed: 1000 datadoghq.com/install-datadog-agent
Not stated on the pages read: Who it is for, price, starting price, certifications, hosting, customers

What Datadog Agent's own pages state, read October 6, 2026: docs.datadoghq.com/agent, datadoghq.com/install-datadog-agent, docs.datadoghq.com/actions/agents, docs.datadoghq.com/agent/configuration, docs.datadoghq.com/getting_started/agent. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Datadog Agent's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Datadog Agent, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Datadog Agent by email, built from the raw record of the edition. It shows:

where Datadog Agent is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Datadog Agent, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.