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ETL and ELT · November 2026 Edition

Integrate.io vs dbt

Six of fourteen models named Integrate.io first on the direct prompt; zero named dbt. Integrate.io was named by ten of the fourteen models and dbt by thirteen and Integrate.io carries 19 labels and dbt 42, so the shares are not directly comparable.

Integrate.io

accepted challenger

Named in two categories this edition.

dbt

accepted challenger

Named in six categories this edition.

First-choice share13%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 19; printed, not drawn.
Labels1942A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Integrate.io reading right to left. Rank and label count are printed, not drawn.Fivetran was named alongside these two in thirteen of the fourteen direct answers. Airbyte vs Integrate.io · Airbyte vs dbt · Fivetran vs Integrate.io

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the ETL and ELT page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Integrate.ioFirst choices, of fourteen modelsdbt
Direct60
Paraphrase121 against Integrate.io
Comparative021 against dbt
Budget-constrained00
Scale-constrained00
Negative011 against dbt
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Integrate.io and dbt stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Integrate.io dbt first choice named as an alternative argued againstblank: not namedEach cell is one answer, Integrate.io on the left and dbt on the right.

The direct prompt

The plain question, one answer per model, grouped by where Integrate.io and dbt stood in it.

Integrate.io first, dbt an alternative

6 of 14 modelsdbt was named in the answer but not as the choice, or not at all.
Grok 4.20Integrate.io alternatives: Airbyte, Fivetran, Matillion, dbt
Llama 4 MaverickFivetran, Integrate.io, Kleene.ai
Kimi K2Integrate.io alternatives: Airbyte, Apache Airflow, Fivetran, Kleene.ai, dbt
GLM 4.7 FlashXIntegrate.io alternatives: Airbyte, Fivetran, Hevo Data, Matillion, Stitch
MiniMax M2.5Integrate.io alternatives: Airbyte, Apache Airflow, Fivetran, dbt
Muse Glimmer 30BIntegrate.io, Kleene.ai alternatives: Airbyte, Fivetran, Hevo Data

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashFivetran alternatives: Airbyte, Matillion, Rivery, dbt
Perplexity SonarHevo Data alternatives: Airbyte, Fivetran, Integrate.io, Matillion
Mistral SmallFivetran alternatives: Integrate.io, Kleene.ai, Matillion
DeepSeek V4 FlashFivetran alternatives: Airbyte, Hevo Data, Integrate.io
GPT-6 LunaFivetran alternatives: Airbyte, dbt

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
GPT-5.4 miniFivetran alternatives: Airbyte, Matillion
Qwen 3.7 FlashFivetran alternatives: Airbyte, Matillion

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
dbt leads by two points.
dbt2%#6 of 15
Integrate.io0%#10 of 15
The full small business standing →
Mid-marketThe figures above
The order flips: Integrate.io leads at mid-market.
Integrate.io13%#3 of 19
dbt4%#4 of 19
The full mid-market standing →
Enterprise
Integrate.io leads by fourteen points.
Integrate.io20%#2 of 14
dbt6%#4 of 14
The full enterprise standing →

What the models said about Integrate.io

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Hevo or Integrate.io are solid all-in-ones but can get expensive or less flexible for transformations.” Grok 4.20 · paraphrase prompt · soft negative
“The best ETL tool for a mid-market B2B company is Integrate.io, Fivetran, or Kleene.ai.” Llama 4 Maverick · direct prompt · first choice
“Integrate.io is the most cited flat-price mid-market option, starting ~$1,999/month” Muse Glimmer 30B · direct prompt · first choice
“If you want a single, low-code, cost-predictable platform, choose Integrate.io.” Mistral Small · paraphrase prompt · first choice

What the models said about dbt

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.

“dbt's recent model-based pricing controversies, which have drawn significant criticism” DeepSeek V4 Flash · negative prompt · soft negative
“Not a general-purpose extraction and loading tool.” GPT-6 Luna · comparative prompt · soft negative
“recommend Cloud-Native ELT tools (like Fivetran, Airbyte, or dbt)” GLM 4.7 FlashX · negative prompt · first choice
“Choose Fivetran + dbt if you want a modern, low-maintenance ELT stack” Gemini 3.5 Flash · comparative prompt · first choice
“Transform: Use dbt to build tested, documented SQL models” GPT-6 Luna · paraphrase prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.