ETL and ELT · September 2026 Edition
Airbyte vs Fivetran
Three of twelve models named Airbyte first on the direct prompt; seven named Fivetran. Both were named by all twelve models and Airbyte carries 50 labels and Fivetran 53, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share32%32%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 14; printed, not drawn.
Labels5053A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Airbyte reading right to left. Rank and label count are printed, not drawn.Integrate.io was named alongside these two in ten of the twelve direct answers. Airbyte vs Integrate.io · Fivetran 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.
AirbyteFirst choices, of twelve modelsFivetran
Direct37
Paraphrase271 against Fivetran
Comparative35
Budget-constrained1002 against Fivetran
Scale-constrained01
Negative112 against Airbyte · 6 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 Airbyte and Fivetran stood in it.
Both were the first choice
3 of 12 modelsThe answer named them together, and the judge labeled each a first choice.GPT-5.4 miniAirbyte, Fivetran alternatives: AWS Glue
Kimi K2Airbyte, Fivetran alternatives: Integrate.io, Matillion, dbt
MiniMax M2.5Airbyte, Fivetran alternatives: Integrate.io
Fivetran first, Airbyte an alternative
4 of 12 modelsAirbyte was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashFivetran alternatives: Airbyte, Estuary, Hevo Data, Integrate.io, dbt
Grok 4.1 FastFivetran, Integrate.io
Mistral SmallFivetran alternatives: Apache Airflow, Integrate.io, dbt
DeepSeek V4 FlashFivetran alternatives: Airbyte, Apache Airflow, Hevo Data, Integrate.io, Matillion, dbt
Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.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
Airbyte leads by twenty-three points.
Airbyte36%#1 of 11Fivetran13%#4 of 11Mid-marketThe figures above
Level: the same share of first choices.
Airbyte32%#1 of 14Fivetran32%#2 of 14Enterprise
The order flips: Fivetran leads at enterprise.
Fivetran49%#1 of 17Airbyte5%#3 of 17What the models said about Airbyte
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Described by users as "very badly built" with "terrible support" ... problematic for production workloads at scale” Kimi K2 · negative prompt · soft negative
“poor scalability... OK for small, simple syncs if self-hosted cautiously.” Grok 4.1 Fast · negative prompt · soft negative
“Choose Airbyte (Self-Hosted) if you have a software engineer who can set up a Docker instance and you need to connect to many different SaaS APIs for free.” Gemini 3.5 Flash · budget prompt · first choice
“Airbyte - Excels in cloud ELT with 300+ pre-built connectors... open-source and free to use for beginners and small teams” Claude Haiku 4.5 · budget prompt · first choice
“Best For: Open-source flexibility and cost control. ... Airbyte (open-source) is cheapest if you have infra skills.” Qwen 3.7 Flash · comparative prompt · first choice
What 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
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.