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

Netflix Conductor

6Judge labels
0First choices
1Negative labels
5 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. Netflix Conductor was named 4 times in Orchestration, where Prefect led with 24%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In orchestration · 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 Netflix Conductor 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
Workflow orchestrationData platform0%37 of 8625%4under 10 labels · led by Prefect at 24%

Movement

This is the first edition on this tier, so no move can be computed for Netflix Conductor 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 Netflix Conductor across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00101
Gemini 3.5 Flash00101
Perplexity Sonar00000
Grok 4.1 Fast00011
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
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
Direct0 labelsNone
Paraphrase1 labelNone
Comparative2 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative6 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.

“This is excellent if you're heavy on microservices architecture.” Claude Haiku 4.5 · Orchestration · paraphrase 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.

“Cumbersome JSON DSL, code quality gripes in SDKs, debugging woes in UI.” Grok 4.1 Fast · Orchestration · negative prompt · soft negative

Named alongside

The products named in the same answers as Netflix Conductor, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Netflix Conductor was named but was not.
ProductSame answerTook the first choice insteadHead to head
Apache Airflow6 of 61Not in the top three
Argo Workflows5 of 60Not in the top three
Dagster5 of 60Not in the top three
Prefect5 of 60Not in the top three
Temporal5 of 60Not in the top three
Camunda3 of 60Not in the top three
AWS Step Functions2 of 60Not in the top three
Astronomer Astro2 of 60Not in the top three
Luigi2 of 60Not in the top three
Apache NiFi1 of 60Not 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 Netflix Conductor. 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 5 of the 6 answers that named Netflix Conductor and are not a share of its labels.

Domains cited

airflow.apache.org3
akka.io2
argoproj.github.io2
camunda.com2
dataengineeringcentral.substack.com2
devopsschool.com2
engineering.freeagent.com2
reddit.com2
unmeshed.io2
aimultiple.com1

Twenty of the twenty domain citations in answers naming Netflix Conductor came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Netflix Conductor

What the judge wrote, as written, with how often. The vendor table decides that these count as Netflix Conductor; a claim can dispute any of them.
Conductor 3
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 Netflix Conductor'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 Netflix Conductor, 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 netflixconductor.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.

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