IT AI Index

Index › Vendors › Estuary · September 2026 Edition

1 category · Named, not ranked

Estuary

12Judge labels

0First choices

0Negative labels

6 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

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Estuary was named 4 times in ETL, where Airbyte led with 32%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business11 of 56

under the label threshold

Mid-market18 of 66

under the label threshold

Enterprise24 of 67

under the label threshold

In 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 Estuary 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
ETL and ELT	Data platform	0%	18 of 66	0%	4	under 10 labels · led by Airbyte at 32%

Movement

This is the first edition on this tier, so no move can be computed for Estuary 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 Estuary 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	2	0	2
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
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

Direct1 labelNone

Paraphrase2 labelsNone

Comparative5 labelsNone

Budget-constrained1 labelNone

Scale-constrained2 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative12 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.

“Estuary specializes in real-time, streaming data pipeline creation and Change Data Capture (CDC) at scale.” Gemini 3.5 Flash · ETL · direct prompt · alternative

“Choose Confluent or Estuary if you require sub-second latency” Gemini 3.5 Flash · ETL · comparative prompt · alternative

“Estuary (best CDC/streaming)” Claude Haiku 4.5 · ETL · comparative 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 Estuary, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Estuary was named but was not.

ProductSame answerTook the first choice insteadHead to head

Fivetran11 of 123Not in the top three

Airbyte11 of 121Not in the top three

Hevo Data9 of 123Not in the top three

dbt8 of 121Not in the top three

Integrate.io5 of 120Not in the top three

Skyvia5 of 120Not in the top three

Talend5 of 120Not in the top three

AWS Glue4 of 120Not in the top three

Matillion4 of 120Not in the top three

Stitch3 of 121Not 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 Estuary. 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 8 of the 12 answers that named Estuary and are not a share of its labels.

Domains cited

estuary.devYour site6

integrate.io6

skyvia.com6

fivetran.com4

hevodata.com4

datacamp.com3

dataquest.io3

dev.to3

g2.com3

weld.app3

Thirty-five of the forty-one domain citations in answers naming Estuary came from somebody else's page.

Pages cited

estuary.dev/blog/etl-tools-list4

integrate.io/blog/top-7-etl-tools4

skyvia.com/blog/best-etl-tools-for-small-businesses4

datacamp.com/blog/a-list-of-the-16-best-etl-tools-and-why-to-choose-them3

dataquest.io/blog/etl-tools-practical-guide-with-examples3

fivetran.com/learn/etl-tools3

hevodata.com/learn/etl-tools-for-small-businesses3

bladepipe.com/blog/data_insights/best_etl_tool_for_small_business2

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 Estuary'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 Estuary, 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 estuary.dev 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.