GTM AI Index

Index › Vendors › Skyvia · September 2026 Edition

1 category · Named, not ranked

Skyvia

16Judge labels

0First choices

1Negative labels

8 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Skyvia was named 6 times in Warehouse & ETL, where Hightouch led with 42%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business20 of 94

under the label threshold

Mid-market23 of 100

under the label threshold

Enterprise20 of 85

under the label threshold

In warehouse & etl · 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 Skyvia 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
Data warehouse and reverse ETL for marketing	GTM data and infrastructure	0%	23 of 100	0%	6	under 10 labels · led by Hightouch at 42%

Movement

This is the first edition on this tier, so no move can be computed for Skyvia yet. The next is due October 1, 2026. 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 Skyvia across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	1	0	1
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	1	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	1	1
Qwen 3.7 Flash	0	1	1
Kimi K2	1	0	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	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

Direct0 labelsNone

Paraphrase1 labelNone

Comparative7 labelsNone

Budget-constrained4 labelsNone

Scale-constrained1 labelNone

Negative3 labelsNone

First choiceAlternativeMentionNegative16 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.

“BigQuery (free tier) + Skyvia or Census free tier” Kimi K2 · Warehouse & ETL · comparative prompt · alternative

“Skyvia is best for simple, budget cloud data sync” Claude Haiku 4.5 · Warehouse & ETL · 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 Skyvia, over the 16 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Skyvia was named but was not.

ProductSame answerTook the first choice insteadHead to head

Census15 of 165Not in the top three

Hightouch13 of 169Not in the top three

BigQuery13 of 168Not in the top three

Snowflake13 of 164Not in the top three

Amazon Redshift10 of 160Not in the top three

Improvado8 of 160Not in the top three

Fivetran7 of 160Not in the top three

RudderStack7 of 160Not in the top three

Databricks6 of 160Not in the top three

Polytomic5 of 161Not 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 Skyvia. 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 16 answers that named Skyvia and are not a share of its labels.

Domains cited

ask-luca.com2

cometly.com2

domo.com2

genixly.io2

gtmengineerclub.com2

improvado.io2

integrate.io2

palettehq.com2

athena-solutions.com1

data-sleek.com1

Eighteen of the eighteen domain citations in answers naming Skyvia came from somebody else's page.

Pages cited

ask-luca.com/blogs/best-reverse-etl-tools2

cometly.com/post/marketing-data-warehouse-alternatives2

domo.com/learn/article/best-reverse-etl-platforms2

genixly.io/blogs/top-cloud-data-warehouse-solutions2

gtmengineerclub.com/tools/best-reverse-etl-tools2

improvado.io/blog/best-reverse-etl-tools2

integrate.io/blog/are-these-the-6-best-reverse-etl-vendors2

palettehq.com/data-warehouses-for-small-businesses2

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 Skyvia'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 Skyvia, 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 skyvia.com 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.