IT AI Index

Index › Vendors › Snowflake Tasks · September 2026 Edition

1 category · Named, not ranked

Snowflake Tasks

3Judge labels

0First choices

1Negative labels

3 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

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Snowflake Tasks was named 1 time 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.

Small business54 of 78

under the label threshold

Mid-market74 of 86

under the label threshold

Enterprise42 of 89

under the label threshold

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 Snowflake Tasks 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
Workflow orchestration	Data platform	0%	74 of 86	100%	1	under 10 labels · led by Prefect at 24%

Movement

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

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative2 labelsNone

First choiceAlternativeMentionNegative3 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.

No positive label carried a quote.

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.

“tie you into a single cloud or vendor ... risky if you need multi-cloud portability” DeepSeek V4 Flash · Orchestration · negative prompt · soft negative

Named alongside

The products named in the same answers as Snowflake Tasks, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Snowflake Tasks was named but was not.

ProductSame answerTook the first choice insteadHead to head

AWS Step Functions3 of 30Not in the top three

Apache Airflow3 of 30Not in the top three

Databricks Lakeflow Jobs3 of 30Not in the top three

Temporal3 of 30Not in the top three

Camunda2 of 30Not in the top three

Dagster2 of 30Not in the top three

Make2 of 30Not in the top three

Microsoft Power Automate2 of 30Not in the top three

Prefect2 of 30Not in the top three

Zapier2 of 30Not 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 Snowflake Tasks. 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 3 of the 3 answers that named Snowflake Tasks and are not a share of its labels.

Domains cited

kanerika.com3

zapier.com3

devopsschool.com2

elementum.ai2

kestra.io2

news.ycombinator.com2

reddit.com2

teamwork.com2

worldmetrics.org2

aiwire.net1

Twenty-one of the twenty-one domain citations in answers naming Snowflake Tasks came from somebody else's page.

Pages cited

kanerika.com/blogs/workflow-orchestration-tools3

zapier.com/blog/workflow-orchestration-tools3

devopsschool.com/blog/top-10-workflow-orchestration-tools-features-pros-cons-comparison2

elementum.ai/blog/best-workflow-orchestration-tools2

news.ycombinator.com/item2

teamwork.com/blog/workflow-orchestration-tools2

worldmetrics.org/best/workflow-orchestration-software2

aiwire.net/2017/05/02/enterprises-dont-open-source1

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 Snowflake Tasks'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 Snowflake Tasks, 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 snowflake.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.