IT AI Index
Index Vendors › Kestra · September 2026 Edition
3 categories · Ranked

Kestra

31Judge labels
1First choices
2Negative labels
11 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
2% in Orchestration for mid-market buyers
Rank 9 of 86 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 16 labels there were negative.
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 Kestra 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 platform2%9 of 860%16accepted challenger
ETL and ELTData platform0%45 of 660%1under 10 labels · led by Airbyte at 32%
LLM gateways and observabilityData platform0%60 of 63100%1under 10 labels · led by LiteLLM at 38%

Movement

This is the first edition on this tier, so no move can be computed for Kestra 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 Kestra across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash02103
Perplexity Sonar00202
Grok 4.1 Fast00101
Mistral Small00101
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash01113
Kimi K211002
GLM 4.7 FlashX02103
MiniMax M2.500101

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
Paraphrase6 labelsNone
Comparative11 labelsNone
Budget-constrained6 labels1
Scale-constrained2 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative31 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.

“or Kestra if you need more power and flexibility across different workflow types” Kimi K2 · Orchestration · budget prompt · first choice
“Use open-standard alternatives (like Temporal, Camunda, or Kestra) if portability is a priority.” Qwen 3.7 Flash · Orchestration · negative prompt · alternative
“Kestra uses YAML to define pipelines, making it completely language-agnostic.” Gemini 3.5 Flash · Orchestration · paraphrase prompt · alternative
“Self‑hosted, developer‑friendly automation | n8n or Kestra” GLM 4.7 FlashX · Orchestration · 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.

“Kestra: Workflow engines can become vectors for shell execution and accessing container metadata.” Qwen 3.7 Flash · LLM gateways · negative prompt · soft negative

Named alongside

The products named in the same answers as Kestra, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Kestra was named but was not.
ProductSame answerTook the first choice insteadHead to head
Apache Airflow27 of 314Not in the top three
Prefect25 of 316Not in the top three
Dagster22 of 313Not in the top three
Temporal19 of 311Not in the top three
n8n15 of 314Not in the top three
Zapier12 of 311Not in the top three
Make11 of 312Not in the top three
Camunda11 of 310Not in the top three
AWS Step Functions8 of 310Not in the top three
Astronomer Astro8 of 310Not 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 Kestra. 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 21 of the 31 answers that named Kestra and are not a share of its labels.

Domains cited

elementum.ai13
kestra.ioYour site12
zapier.com12
enate.io11
reddit.com9
teamwork.com9
devopsschool.com6
getorchestra.io6
worldmetrics.org6
wrike.com6

Seventy-eight of the ninety domain citations in answers naming Kestra came from somebody else's page.

Pages cited

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 Kestra'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 Kestra, 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 kestra.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.