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Index › Products › Preset · October 2026 Edition
1 category · Named, not ranked

Preset

5Judge labels
0First choices
0Negative labels
4 / 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Preset was named 2 times in Embedded analytics, where Metabase led with 22%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In embedded analytics · 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 Preset 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 rateLabelsQuadrantSince September 2026
Embedded analyticsData platform0%29 of 720%2under 10 labels · led by Metabase at 22%

Movement

This is the first edition on this tier, so no move can be computed for Preset 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 Preset across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative5 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.

“Preset manages Superset from ~$20/user/mo if you don't want to run it yourself.” Muse Glimmer 30B · Embedded analytics · budget prompt · alternative
“### 5. Preset — Best for Apache Superset Fans” Kimi K2 · Embedded analytics · direct 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 Preset, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Preset was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Metabase5 of 54Not among the top eight
Power BI Embedded3 of 50Not among the top eight
Luzmo2 of 51Not among the top eight
Apache Superset2 of 50Not among the top eight
Embeddable2 of 50Not among the top eight
ThoughtSpot Embedded2 of 50Not among the top eight
Explo1 of 51Not among the top eight
Cube1 of 50Not among the top eight
GoodData1 of 50Not among the top eight
Holistics1 of 50Not 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 Preset. 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 5 of the 5 answers that named Preset and are not a share of its labels.

Domains cited

holistics.io4
embeddable.com3
fastero.com3
luzmo.com3
omni.co3
accio.com2
basedash.com2
datatako.com2
metabase.com2
qrvey.com2

Twenty-six of the twenty-six domain citations in answers naming Preset came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Follow Preset

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

  • where Preset 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 Preset, 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.
The subscriber app

A verification link goes to your work email; an address at preset.io is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.