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Data warehouse and reverse ETL for marketing · November 2026 Edition

Census vs Airbyte

Zero of fourteen models named Census first on the direct prompt; zero named Airbyte. Both were named by all fourteen models and Census carries 83 labels and Airbyte 41, so the shares are not directly comparable.

Census

accepted challenger

By Fivetran, United States. Named in five categories this edition.

Airbyte

accepted challenger

Named in two categories this edition.

First-choice share8%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 12; printed, not drawn.
Labels8341A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Census reading right to left. Rank and label count are printed, not drawn.Hightouch was named alongside these two in fourteen of the fourteen direct answers. Hightouch vs Census · Hightouch vs Airbyte · BigQuery vs Census

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 Data warehouse and reverse ETL for marketing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CensusFirst choices, of fourteen modelsAirbyte
Direct00
Paraphrase301 against Airbyte
Comparative20
Budget-constrained064 against Census
Scale-constrained601 against Census · 1 against Airbyte
Negative208 against Census · 3 against Airbyte
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.

Across every category in the November 2026 Edition, Census and Airbyte were named in the same answer 107 times, of the 291 answers naming Census and the 126 naming Airbyte. In those answers Airbyte took the first choice six times and Census fifteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Census and Airbyte 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
Census Airbyte first choice named as an alternative argued againstblank: not namedEach cell is one answer, Census on the left and Airbyte on the right.

The direct prompt

The plain question, one answer per model, grouped by where Census and Airbyte stood in it.

Neither was the first choice, one was named

13 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Hightouch alternatives: Amazon Redshift, BigQuery, Census, Hevo, Improvado, Polytomic, Snowflake
Gemini 3.5 FlashHightouch, Snowflake alternatives: BigQuery, Census, Fivetran, dbt
Perplexity SonarBigQuery, Hightouch, Snowflake alternatives: Airbyte, Census, Fivetran, Improvado, Omnata, RudderStack Reverse ETL, Segment, dbt
Grok 4.20BigQuery, Hightouch alternatives: Airbyte, Census, Fivetran, Snowflake, dbt
Mistral SmallHightouch, Snowflake alternatives: BigQuery, Census, dbt
DeepSeek V4 FlashBigQuery, Hightouch alternatives: Airbyte, Census, Dreamdata, Fivetran, HockeyStack, Looker Studio, Snowflake, dbt
Llama 4 MaverickHightouch alternatives: BigQuery, Census, Snowflake, dbt
Qwen 3.7 FlashHightouch, Snowflake alternatives: Airbyte, BigQuery, Fivetran, RudderStack Reverse ETL
Kimi K2BigQuery, Hightouch, Snowflake alternatives: Airbyte, Census, Fivetran, dbt
GLM 4.7 FlashXBigQuery, Hightouch alternatives: Airbyte, Census, RudderStack Reverse ETL, dbt
MiniMax M2.5BigQuery, Hightouch, Snowflake alternatives: Census, dbt
GPT-6 LunaBigQuery, Snowflake alternatives: Census, Fivetran, Hightouch, dbt
Muse Glimmer 30BHightouch alternatives: Census, RudderStack Reverse ETL, dbt

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniHightouch, Snowflake alternatives: BigQuery, Hightouch Composable CDP, dbt

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
Census leads by two points.
Census4%#4 of 18
Airbyte2%#5 of 18
The full small business standing →
Mid-marketThe figures above
Census leads by three points.
Census8%#4 of 12
Airbyte6%#5 of 12
The full mid-market standing →
Enterprise
Census leads by ten points.
Census10%#3 of 12
Airbyte0%#10 of 12
The full enterprise standing →

What the models said about Census

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

“avoid Census post-acquisition pricing” DeepSeek V4 Flash · negative prompt · hard negative
“Census has been integrated into Fivetran's activation offering, so ask about the current product, roadmap, support, and contract terms rather than evaluating it as an independent vendor.” GPT-6 Luna · scale prompt · soft negative
“User-friendly but limited depth for complex marketing logic; post-acquisition changes ... have raised concerns about feature bloat or pricing shifts” Grok 4.20 · negative prompt · soft negative
“Commercial platforms like Census and Hightouch deliver faster time-to-value for most SaaS teams in North America.” Claude Haiku 4.5 · scale prompt · first choice
“Shortlist Hightouch and Fivetran Activations (the product associated with Census)” GPT-6 Luna · scale prompt · first choice
“Choose a tool that offers a self-service interface (like Hightouch or Census)” GLM 4.7 FlashX · negative prompt · first choice

What the models said about Airbyte

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

“Opting for self-hosted tools (like the self-hosted version of Airbyte or Castled) thinking it saves money... Self-hosting Reverse ETL is a massive engineering undertaking” Qwen 3.7 Flash · negative prompt · soft negative
“their reverse ETL capabilities are still developing and may not have the performance or reliability needed” Mistral Small · negative prompt · soft negative
“Avoid building your own (e.g., custom Airbyte + dbt + cron) unless your team is engineering-heavy” Grok 4.20 · paraphrase prompt · soft negative
“ELT / Ingestion | Airbyte (open-source) or Meltano | Open-source ELT with 300+ connectors” Grok 4.20 · budget prompt · first choice
“Airbyte (open-source, self-hosted) is a top pick for budget-conscious teams.” Mistral Small · budget prompt · first choice
“ELT/ETL (Data Ingestion): Airbyte — *$0–$50/month* ... Completely free” DeepSeek V4 Flash · budget 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.