Index › Products › Logstash · October 2026 Edition

1 category · Named, not ranked

Logstash

22Judge labels

0First choices

15Negative labels

9 / 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

9 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Logstash was named 9 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 business99 of 103

under the label threshold

Mid-market124 of 124

under the label threshold

Enterprise90 of 98

under the label threshold

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 Logstash 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%	124 of 124	89%	9	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 Logstash 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 Logstash 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	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	1	1
Gemini 3.5 Flash	0	3	3
Perplexity Sonar	0	0	0
Grok 4.20	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	2	2
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	1	0	1
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	1	1

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

Direct3 labelsNone

Paraphrase3 labelsNone

Comparative8 labelsNone

Budget-constrained2 labelsNone

Scale-constrained2 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative22 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.

“For Elastic ecosystems: Logstash or Filebeat” MiniMax M2.5 · Telemetry pipelines · comparative 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.

“It carries a massive memory footprint and slow startup times. Caution: Avoid deploying Logstash directly on application nodes as a local shipper.” Gemini 3.5 Flash · Telemetry pipelines · negative prompt · soft negative

“Heavy resource consumption (often cited as a high-memory Java app); primarily log-centric; being increasingly displaced by lighter alternatives” DeepSeek V4 Flash · Telemetry pipelines · comparative prompt · soft negative

“Caution: Relying entirely on Logstash or heavy Elasticsearch clusters for simple filtering before storage.” Qwen 3.7 Flash · Telemetry pipelines · negative prompt · soft negative

“Choose Logstash only if you're already deep in the Elastic ecosystem” GPT-5.4 mini · Telemetry pipelines · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Logstash, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Logstash was named but was not.

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ProductSame answerTook the first choice insteadHead to head

OpenTelemetry Collector20 of 2214Not among the top eight

Vector20 of 229Not among the top eight

Cribl Stream13 of 225Not among the top eight

Fluent Bit13 of 223Not among the top eight

Fluentd12 of 220Not among the top eight

Datadog7 of 220Not among the top eight

Apache Kafka5 of 220Not among the top eight

New Relic5 of 220Not among the top eight

Splunk Observability Cloud5 of 220Not among the top eight

Chronosphere Telemetry Pipeline4 of 220Not 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 Logstash. 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 17 of the 22 answers that named Logstash and are not a share of its labels.

Domains cited

cribl.io12

nxlog.co8

openobserve.ai8

opentelemetry.io8

motadata.com7

external.pi.gpi.aws.gartner.com6

itechguides.com5

parseable.com5

g2.com4

grafana.com4

No domain is on file for Logstash, so its own site is not marked.

Pages cited

cribl.io/resources/comparison-guides/best-observability-pipeline-solutions-for-enterprise8

opentelemetry.io/docs/collector7

external.pi.gpi.aws.gartner.com/reviews/market/telemetry-pipelines6

motadata.com/blog/logstash-alternatives6

cribl.io/products/stream5

openobserve.ai/blog/best-telemetry-agents5

cribl.io/resources/comparison-guides/top-10-log-collection-and-analysis-platforms4

cribl.io/resources/sg/cribl-solution-guide4

Pages are listed as the models cited them.

Search and answers

Where Logstash stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 1,600 a month (“logstash”)
AI search demand for its name, est.: 359 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 124 of 124 in telemetry pipelines

Segment leader

37%

OpenTelemetry Collector

First choices: 0 across its categories
Named in: 22 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Logstash

What the judge wrote, as written, with how often. The vendor table decides that these count as Logstash; a claim can dispute any of them.

Logstash (Elastic Stack) 1Logstash (Elastic) 1

Follow Logstash

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.

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 Logstash'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 Logstash, 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 Logstash by email, built from the raw record of the edition. It shows:

where Logstash 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 Logstash, 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.