Every category where a model named Google Cloud Dataflow 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	Since September 2026
ETL and ELT	Data platform	0%	14 of 75	7%	15	accepted challenger	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Streaming platforms	Data platform	0%	41 of 98	0%	1	under 10 labels · led by Confluent Cloud at 39%	newNew since September 2026: not ranked then, 0% now.

Movement

Since September 2026, Google Cloud Dataflow held within the floor in all two categories: no change cleared 11 points.

Best category · ETL · by segment

Small businessgoneNot named this edition; 0% in September 2026.

0%from 0% in September 2026

Inside the floor by 11 pointsNot ranked

Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 20 → 16 of 69

Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 22 → 26 of 64

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
ETL	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 20 → 14 of 75
Streaming	0%	0%	newNew since September 2026: not ranked then, 0% now.	New this edition	Rank 41 of 98, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Google Cloud Dataflow across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	1	1	0	2
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	1	0	1
Grok 4.20	0	1	0	1
Mistral Small	0	1	0	1
DeepSeek V4 Flash	0	2	0	2
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	1	0	1
Kimi K2	0	2	0	2
GLM 4.7 FlashX	0	2	1	3
MiniMax M2.5	2	0	0	2
GPT-6 Luna	1	0	0	1
Muse Glimmer 30B	0	0	0	0

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

Direct3 labelsNone

Paraphrase0 labelsNone

Comparative10 labelsNone

Budget-constrained3 labelsNone

Scale-constrained4 labelsNone

Negative5 labelsNone

First choiceAlternativeMentionNegative25 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.

“AWS Glue, Azure Data Factory, or Google Dataflow give you serverless scaling with a free‐tier credit” MiniMax M2.5 · ETL · budget prompt · alternative

“Offers robust integration and complex stream processing for mid-market enterprises” MiniMax M2.5 · Streaming · direct prompt · alternative

“Dataflow for Google Cloud” GPT-6 Luna · ETL · comparative prompt · alternative

“Similar pay-per-use model” Claude Haiku 4.5 · 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.

“Steep learning curve for beginners” GLM 4.7 FlashX · ETL · negative prompt · hard negative

Named alongside

The products named in the same answers as Google Cloud Dataflow, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud Dataflow was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Talend23 of 252Not among the top eight

AWS Glue22 of 250Not among the top eight

Azure Data Factory22 of 250Not among the top eight

Fivetran20 of 256Not among the top eight

Airbyte16 of 252Not among the top eight

Matillion14 of 251Not among the top eight

Apache Airflow12 of 250Not among the top eight

Stitch12 of 250Not among the top eight

Informatica Intelligent Data Management Cloud11 of 252Not among the top eight

dbt11 of 251Not 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 Google Cloud Dataflow. 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 20 of the 25 answers that named Google Cloud Dataflow and are not a share of its labels.

Domains cited

integrate.io14

fivetran.com11

airbyte.com10

estuary.dev10

hevodata.com9

blog.coupler.io8

techrepublic.com7

domo.com6

expertbeacon.com5

funnel.io5

Eighty-five of the eighty-five domain citations in answers naming Google Cloud Dataflow came from somebody else's page.

Pages cited

estuary.dev/blog/etl-tools-list9

blog.coupler.io/etl-tools8

techrepublic.com/article/etl-tools7

fivetran.com/learn/etl-tools6

hevodata.com/learn/best-elt-tools6

integrate.io/blog/top-7-etl-tools6

expertbeacon.com/20-best-etl-tools-for-20245

funnel.io/blog/etl-tools5

Pages are listed as the models cited them.

Search and answers

google.dev is not in Google's top ten for any of the category's searches. In the answers, Google Cloud Dataflow takes 0% of first choices and Fivetran takes 40%.

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In search

Google, US estimates

Position for “etl tool”

–

not in the top ten

Position for “etl tools”

–

not in the top ten

Searches for its name, Google: 720 a month (“google cloud dataflow”)
AI search demand for its name, est.: 11 a month
Organic visits to its site: about 881,346 a month
Searches its site ranks for: 22,650 · 2,977 in the top three
Sites linking to it: 29,239
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

120+ ads · 120 text · 109 shown in the last 30 days

First shown February 2025, as Google LLC, verified. Ads started 2025-10 to 2026-09: 103 in the year, 17 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 14 of 75 in ETL

Segment leader

40%

Fivetran

First choices: 0 across its categories
Named in: 25 answers
Its own site cited: in 20 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Google Cloud Dataflow

What the judge wrote, as written, with how often. The vendor table decides that these count as Google Cloud Dataflow; a claim can dispute any of them.

Google Dataflow 6GOOGLE Dataflow (Apache Beam) 1Google Pub/Sub + Dataflow 1

Follow Google Cloud Dataflow

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.

The company

Google Cloud is the company behind Google Cloud Dataflow.

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On record

Company records

Also from Google Cloud: Google 2-Step Verification, Google Alerts, Google AlloyDB for PostgreSQL, Google Analytics, Google Antigravity, Google Artifact Registry, Google AutoML, Google BigQuery ML and 84 more

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 Google Cloud Dataflow'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 Google Cloud Dataflow, 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 Google Cloud Dataflow by email, built from the raw record of the edition. It shows:

where Google Cloud Dataflow 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 Google Cloud Dataflow, 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.