Every category where a model named Apache NiFi 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	2%	7 of 66	18%	11	accepted challenger
Workflow orchestration	Data platform	0%	41 of 86	25%	4	under 10 labels · led by Prefect at 24%

Movement

This is the first edition on this tier, so no move can be computed for Apache NiFi 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 Apache NiFi across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	1	1	0	2
GPT-5.4 mini	0	1	0	0	1
Gemini 3.5 Flash	0	0	0	2	2
Perplexity Sonar	0	0	0	0	0
Grok 4.1 Fast	0	0	0	1	1
Mistral Small	0	0	1	0	1
DeepSeek V4 Flash	0	1	0	0	1
Llama 4 Maverick	0	0	2	0	2
Qwen 3.7 Flash	0	0	1	0	1
Kimi K2	0	1	0	0	1
GLM 4.7 FlashX	0	2	0	0	2
MiniMax M2.5	1	0	0	0	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

Direct2 labelsNone

Paraphrase1 labelNone

Comparative4 labelsNone

Budget-constrained11 labels1

Scale-constrained4 labelsNone

Negative7 labelsNone

First choiceAlternativeMentionNegative29 labels in all, every segment counted; 1 of the 1 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.

“start with Talend Open Studio or Apache NiFi (both free)” MiniMax M2.5 · ETL · budget prompt · first choice

“good if you need visual flow-based data movement and more control, but it can be heavier to manage” GPT-5.4 mini · ETL · budget prompt · alternative

“A powerful and highly visual tool designed for automating the flow of data between systems.” Claude Haiku 4.5 · ETL · budget prompt · alternative

“High‑volume, real‑time streaming and batch processing | Apache NiFi / Apache Spark” GLM 4.7 FlashX · 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.

“It has a steep learning curve, consumes heavy system resources, and lacks the straightforward scheduling” Gemini 3.5 Flash · ETL · negative prompt · soft negative

“do not use it to orchestrate complex batch business logic” Gemini 3.5 Flash · Orchestration · negative prompt · soft negative

“Complex setup; overkill for simple batch ETL” Grok 4.1 Fast · ETL · budget prompt · soft negative

Named alongside

The products named in the same answers as Apache NiFi, over the 29 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Apache NiFi was named but was not.

ProductSame answerTook the first choice insteadHead to head

Airbyte20 of 299Not in the top three

Apache Airflow20 of 292Not in the top three

Talend19 of 290Not in the top three

Fivetran18 of 290Not in the top three

Stitch14 of 290Not in the top three

dbt10 of 291Not in the top three

AWS Glue10 of 290Not in the top three

Hevo Data9 of 290Not in the top three

Pentaho Data Integration9 of 290Not in the top three

Informatica8 of 291Not 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 Apache NiFi. 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 17 of the 29 answers that named Apache NiFi and are not a share of its labels.

Domains cited

hevodata.com11

airbyte.com7

fivetran.com7

integrate.io7

sqream.com7

checkthat.ai5

dataexpert.io5

reddit.com5

freshcodeit.com4

g2.com4

Sixty-two of the sixty-two domain citations in answers naming Apache NiFi came from somebody else's page.

Pages cited

sqream.com/blog/best-etl-tools7

hevodata.com/learn/top-free-open-source-etl-tools-to-consider6

checkthat.ai/answers/what-are-the-best-free-etl-tools5

dataexpert.io/blog/open-source-etl-tools-comparison-guide-20265

airbyte.com/top-etl-tools-for-sources/etl-tools4

freshcodeit.com/blog/top-5-enterprise-etl-tools4

coalesce.io/all-things-data/hidden-costs-of-etl-tools3

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

Pages are listed as the models cited them.

Names read as Apache NiFi

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

Apache NiFi / Spark 1NiFi 1

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 Apache NiFi'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 Apache NiFi, 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 apache.io 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.