IT AI Index
Index Vendors › HyperDX · September 2026 Edition
2 categories · Named, not ranked

HyperDX

4Judge labels
0First choices
0Negative labels
2 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, 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. HyperDX was named 3 times in Observability and 1 other category, where Grafana led with 29%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In observability · 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 HyperDX 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Observability platformsIT operations and endpoint0%33 of 630%2under 10 labels · led by Grafana at 29%
Log managementIT operations and endpoint0%33 of 590%1under 10 labels · led by Datadog Log Management at 20%

Movement

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

By model

How each model treated HyperDX across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00101
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201102
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained1 labelNone
Scale-constrained2 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.

“OpenTelemetry-native platforms (e.g., Dash0, HyperDX, OpenObserve)” Kimi K2 · Logs · negative 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.

No model argued against it.

Named alongside

The products named in the same answers as HyperDX, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and HyperDX was named but was not.
ProductSame answerTook the first choice insteadHead to head
Grafana3 of 41Not in the top three
New Relic3 of 41Not in the top three
SigNoz3 of 41Not in the top three
Datadog3 of 40Not in the top three
Honeycomb2 of 40Not in the top three
OpenObserve2 of 40Not in the top three
Sentry2 of 40Not in the top three
Better Stack1 of 40Not in the top three
Chronosphere1 of 40Not in the top three
Cribl1 of 40Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 HyperDX. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 4 answers that named HyperDX and are not a share of its labels.

Names read as HyperDX

What the judge wrote, as written, with how often. The vendor table decides that these count as HyperDX; a claim can dispute any of them.
HyperDX / OpenObserve 1
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 HyperDX'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 HyperDX, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at hyperdx.io is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.