IT AI Index
Index Vendors › Axiom · September 2026 Edition
1 category · Ranked

Axiom

29Judge labels
9First choices
0Negative labels
9 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
11% in Logs for small business buyers
Rank 8 of 59 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 6 labels there were negative.
By buyer segmentStrongest at small business.
In logs · 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 Axiom 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
Log managementIT operations and endpoint6%8 of 590%6under 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 Axiom 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 Axiom 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 Flash11103
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small10001
DeepSeek V4 Flash10001
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
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
Direct2 labelsNone
Paraphrase3 labelsNone
Comparative5 labelsNone
Budget-constrained13 labels8
Scale-constrained2 labels1
Negative4 labelsNone
First choiceAlternativeMentionNegative29 labels in all, every segment counted; 9 of the 9 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.

“If you want absolutely zero maintenance and have low-to-medium volume: Use Axiom (for pure logging)” Gemini 3.5 Flash · Logs · budget prompt · first choice
“Axiom gives you the most free value with zero operational overhead” DeepSeek V4 Flash · Logs · budget prompt · first choice
“For the absolute cheapest entry, start with Axiom's free tier” Mistral Small · Logs · budget prompt · first choice
“you pay for the data you actually read/search. It is incredibly fast.” Qwen 3.7 Flash · Logs · budget 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 Axiom, over the 29 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Axiom was named but was not.
ProductSame answerTook the first choice insteadHead to head
Better Stack28 of 2911Not in the top three
SolarWinds Papertrail21 of 295Not in the top three
Grafana Loki20 of 293Not in the top three
Datadog Log Management17 of 291Not in the top three
Elastic Stack17 of 291Not in the top three
Graylog14 of 290Not in the top three
Splunk11 of 291Not in the top three
New Relic Logs9 of 290Not in the top three
OpenObserve8 of 290Not in the top three
Grafana Cloud7 of 291Not 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 Axiom. 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 18 of the 29 answers that named Axiom and are not a share of its labels.

Domains cited

subrupt.com16
toolradar.com14
openobserve.ai12
dupple.com10
401clicks.com8
apistatuscheck.com5
betterstack.com5
dev.to5
uptrace.dev5
checkthat.ai4

Eighty-four of the eighty-four domain citations in answers naming Axiom came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 Axiom'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 Axiom, 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 axiomstudio.ai 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.