ETL and ELT · September 2026 Edition
Fivetran vs Integrate.io
Seven of twelve models named Fivetran first on the direct prompt; five named Integrate.io. Fivetran was named by twelve of the twelve models and Integrate.io by ten and Fivetran carries 53 labels and Integrate.io 24, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
First-choice share32%15%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate17%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 14; printed, not drawn.
Labels5324A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fivetran reading right to left. Rank and label count are printed, not drawn.Airbyte was named alongside these two in eight of the twelve direct answers. Airbyte vs Fivetran · Airbyte vs Integrate.io
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
FivetranFirst choices, of twelve modelsIntegrate.io
Direct75
Paraphrase711 against Fivetran · 2 against Integrate.io
Comparative51
Budget-constrained002 against Fivetran
Scale-constrained11
Negative106 against Fivetran
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
The direct prompt
The plain question, one answer per model, grouped by where Fivetran and Integrate.io stood in it.
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Grok 4.1 FastFivetran, Integrate.io
Fivetran first, Integrate.io an alternative
6 of 12 modelsIntegrate.io was named in the answer but not as the choice, or not at all.GPT-5.4 miniAirbyte, Fivetran alternatives: AWS Glue
Gemini 3.5 FlashFivetran alternatives: Airbyte, Estuary, Hevo Data, Integrate.io, dbt
Mistral SmallFivetran alternatives: Apache Airflow, Integrate.io, dbt
DeepSeek V4 FlashFivetran alternatives: Airbyte, Apache Airflow, Hevo Data, Integrate.io, Matillion, dbt
Kimi K2Airbyte, Fivetran alternatives: Integrate.io, Matillion, dbt
MiniMax M2.5Airbyte, Fivetran alternatives: Integrate.io
Integrate.io first, Fivetran an alternative
4 of 12 modelsFivetran was named in the answer but not as the choice, or not at all.Perplexity SonarIntegrate.io alternatives: Airbyte, Fivetran, Matillion, dbt
Llama 4 MaverickIntegrate.io alternatives: Apache Airflow, Fivetran, dbt
Qwen 3.7 FlashIntegrate.io alternatives: Airbyte, Fivetran, Skyvia, dbt
GLM 4.7 FlashXIntegrate.io alternatives: Airbyte, Fivetran, Matillion, Peliqan, Talend
Neither was named
1 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5MuleSoft, Talend alternatives: AWS Glue, Apache Airflow, Azure Data Factory
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
Fivetran leads by thirteen points.
Fivetran13%#4 of 11Integrate.io0%#9 of 11Mid-marketThe figures above
Fivetran leads by seventeen points.
Fivetran32%#2 of 14Integrate.io15%#3 of 14Enterprise
Fivetran leads by twenty-one points.
Fivetran49%#1 of 17Integrate.io28%#2 of 17What the models said about Fivetran
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“One of the most widely-cited cautionary examples right now... Users report bills jumping 35–70%” DeepSeek V4 Flash · negative prompt · hard negative
“SaaS-only tools like Fivetran-style managed ETL/ELT: convenient, but you may inherit vendor-controlled infrastructure, pricing that scales with usage” GPT-5.4 mini · negative prompt · soft negative
“proceed with extreme caution if you plan on syncing heavy, rapidly changing database tables without strict volume caps and alerting” Gemini 3.5 Flash · negative prompt · soft negative
“the current industry standard recommendation is a "Modern Data Stack" combination of Fivetran for ingestion and dbt (Data Build Tool) for transformation.” Qwen 3.7 Flash · paraphrase prompt · first choice
“typically led by Fivetran... Choose Fivetran if you want the least operational overhead and reliable managed ingestion.” Perplexity Sonar · comparative prompt · first choice
“For most mid-market B2B companies, Fivetran (paired with dbt) is the safest, most battle-tested choice if budget allows” DeepSeek V4 Flash · direct prompt · first choice
What the models said about Integrate.io
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Integrate.io — Predictable but Pricey ... the flat rate may overcharge you at lower volumes” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Simpler no-code for smaller mid-sized, but less robust connectors.” Grok 4.1 Fast · paraphrase prompt · soft negative
“the best single ETL/ELT tool is Integrate.io if you want the best balance of low-code usability, predictable pricing, and broad mid-market fit” Perplexity Sonar · direct prompt · first choice
“Integrate.io | Mid-market teams needing balance of features, ease of use, and predictable costs | Fixed-fee, unlimited usage” Kimi K2 · scale prompt · first choice
“I'd recommend Integrate.io if you want one platform that covers ingestion, transformation, and reverse ETL” Perplexity Sonar · paraphrase prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.