IT AI Index

Index › Vendors › Terragrunt · September 2026 Edition

1 category · Named, not ranked

Terragrunt

14Judge labels

0First choices

0Negative labels

7 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

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Terragrunt was named 5 times in IaC, where Terraform led with 46%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business16 of 44

under the label threshold

Mid-market14 of 46

under the label threshold

Enterprise15 of 64

under the label threshold

In iac · 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 Terragrunt 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
Infrastructure as code	Cloud and infrastructure	0%	14 of 46	0%	5	under 10 labels · led by Terraform at 46%

Movement

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

Model	Mention	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	1	1
Grok 4.1 Fast	3	3
Mistral Small	1	1
DeepSeek V4 Flash	0	0
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

Direct1 labelNone

Paraphrase3 labelsNone

Comparative7 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative14 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.

No model argued against it.

Named alongside

The products named in the same answers as Terragrunt, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Terragrunt was named but was not.

ProductSame answerTook the first choice insteadHead to head

Terraform14 of 1411Not in the top three

OpenTofu13 of 144Not in the top three

Pulumi13 of 143Not in the top three

Crossplane11 of 141Not in the top three

Ansible11 of 140Not in the top three

AWS CloudFormation9 of 140Not in the top three

AWS CDK8 of 140Not in the top three

Spacelift7 of 140Not in the top three

Azure Resource Manager templates4 of 140Not in the top three

Chef4 of 140Not 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 Terragrunt. 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 13 of the 14 answers that named Terragrunt and are not a share of its labels.

Domains cited

cortex.io11

pulumi.com11

apiiro.com9

guideflow.com8

facets.cloud7

devtoollab.com6

spacelift.io6

checkthat.ai5

devopsplatforms.com5

firefly.ai5

Seventy-three of the seventy-three domain citations in answers naming Terragrunt came from somebody else's page.

Pages cited

cortex.io/post/best-infrastructure-as-code-iac-tools11

pulumi.com/blog/infrastructure-as-code-tools11

apiiro.com/blog/best-iac-tools9

guideflow.com/blog/infrastructure-as-code-tools8

facets.cloud/blog/top-8-infrastructure-as-code-iac-tools7

devtoollab.com/blog/best-infrastructure-as-code-tools6

checkthat.ai/answers/what-are-the-best-infrastructure-as-code-tools5

devopsplatforms.com/buying-guides/best-iac-tools5

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 Terragrunt'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 Terragrunt, 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 terra.security 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.