IT AI Index
Index Vendors › Panoply · September 2026 Edition
1 category · Named, not ranked

Panoply

13Judge labels
0First choices
1Negative 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.
Standing
5 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Panoply was named 5 times in Data warehouses, where Snowflake led with 47%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In data warehouses · 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 Panoply 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
Data warehousesData platform0%12 of 410%5under 10 labels · led by Snowflake at 47%

Movement

This is the first edition on this tier, so no move can be computed for Panoply 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 Panoply 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 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick01001
Qwen 3.7 Flash01001
Kimi K201001
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
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained10 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative13 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.

“Panoply: A fixed-price solution under $99/month, ideal for ease of setup and standard reporting.” Llama 4 Maverick · Data warehouses · budget prompt · alternative
“Best for Predictable Fixed Costs: Panoply ... You can get started for less than $99/month.” Qwen 3.7 Flash · Data warehouses · budget prompt · alternative
“Fixed pricing under $99/month; minimal maintenance, quick setup” Kimi K2 · Data warehouses · 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 Panoply, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Panoply was named but was not.
ProductSame answerTook the first choice insteadHead to head
Google BigQuery13 of 1312Not in the top three
Firebolt10 of 131Not in the top three
Snowflake10 of 131Not in the top three
Amazon Redshift7 of 130Not in the top three
Dremio Cloud5 of 130Not in the top three
Azure Synapse Analytics3 of 130Not in the top three
MotherDuck2 of 130Not in the top three
ClicData1 of 130Not in the top three
ClickHouse Cloud1 of 130Not in the top three
Databricks1 of 130Not 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 Panoply. 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 12 of the 13 answers that named Panoply and are not a share of its labels.

Domains cited

umatechnology.org11
trustradius.com9
atlan.com7
g2.com7
fortegrp.com6
clickhouse.com5
costbench.com4
valiotti.com4
checkthat.ai3
definite.app3

Fifty-nine of the fifty-nine domain citations in answers naming Panoply 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 Panoply'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 Panoply, 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 panoply.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.