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Index › GTM data and infrastructure › Warehouse & ETL › Census vs Airbyte
Data warehouse and reverse ETL for marketing · October 2026 Edition

Census vs Airbyte

Two of fourteen models named Census first on the direct prompt; zero named Airbyte. Census was named by fourteen of the fourteen models and Airbyte by thirteen and Census carries 80 labels and Airbyte 32, 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 share11%1%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 13; printed, not drawn.
Labels8032A 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
Direct201 against Airbyte
Paraphrase101 against Census
Comparative20
Budget-constrained112 against Census
Scale-constrained80
Negative107 against Census · 1 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 October 2026 Edition, Census and Airbyte were named in the same answer seventy-four times, of the 250 answers naming Census and the 100 naming Airbyte. In those answers Airbyte took the first choice one time and Census sixteen.

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 4.1 Fast
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.

Census first, Airbyte an alternative

2 of 14 modelsAirbyte was named in the answer but not as the choice, or not at all.
Mistral SmallBigQuery, Census, Hightouch, Snowflake alternatives: Amazon Redshift, Fivetran, Funnel, Grouparoo, Pipedream
DeepSeek V4 FlashBigQuery, Census alternatives: Airbyte, Fivetran, Hightouch, Looker Studio, Snowflake, dbt

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Hightouch alternatives: BigQuery, Census, Fivetran, Integrate.io, Polytomic, Snowflake
Gemini 3.5 FlashHightouch, Snowflake alternatives: BigQuery, Census, Fivetran, Funnel, Supermetrics, dbt
Grok 4.1 FastBigQuery, Hightouch alternatives: Amazon Redshift, Census, Fivetran, RudderStack Reverse ETL, dbt
Llama 4 MaverickRudderStack Reverse ETL alternatives: Amazon Redshift, BigQuery, Census, Databricks SQL Warehouse, Grouparoo, Hightouch, Snowflake
Qwen 3.7 FlashHightouch, Snowflake alternatives: Airbyte, BigQuery, Census, Fivetran, dbt
Kimi K2Hightouch, Snowflake alternatives: Airbyte, BigQuery, Census, Fivetran, dbt
GLM 4.7 FlashXHightouch, Snowflake alternatives: BigQuery, Census, Segment, dbt
MiniMax M2.5BigQuery, Hightouch alternatives: Census, Fivetran, RudderStack Reverse ETL, Snowflake, dbt
GPT-6 LunaHightouch, Snowflake alternatives: BigQuery, Census, Fivetran, dbt
Muse Glimmer 30BHightouch, Snowflake alternatives: BigQuery, Census, Fivetran, dbt

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniHightouch, Snowflake alternatives: BigQuery, Segment, dbt
Perplexity SonarHightouch, Snowflake alternatives: BigQuery, Fivetran, Funnel, Improvado

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 six points.
Census7%#3 of 17
Airbyte1%#6 of 17
The full small business standing →
Mid-marketThe figures above
Census leads by ten points.
Census11%#4 of 13
Airbyte1%#6 of 13
The full mid-market standing →
Enterprise
Census leads by thirteen points.
Census13%#3 of 13
Airbyte0%#11 of 13
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.

“Don't rush into dedicated reverse ETL tools (especially Census post-acquisition)... this is the one I'd flag most strongly as "be cautious."” DeepSeek V4 Flash · negative prompt · hard negative
“Census assumes your data is already clean and modeled... You need a data engineering team or analytics engineer managing warehouse hygiene before Census delivers value.” Claude Haiku 4.5 · negative prompt · soft negative
“Pricing model shift: Moved from flat-fee to consumption-based Monthly Active Rows (MAR), making costs harder to predict” MiniMax M2.5 · negative prompt · soft negative
“compare Hightouch with Fivetran Activations (the current Fivetran product incorporating Census reverse-ETL capabilities)” GPT-6 Luna · scale prompt · first choice
“Both industry-leading Reverse ETL platforms offer a permanent free tier of 1 active destination with unlimited syncs/runs.” Gemini 3.5 Flash · budget prompt · first choice
“BigQuery + Fivetran + dbt + Census + Looker Studio is the strongest, most cost-effective combination” DeepSeek V4 Flash · direct 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. Five of six in this category shown.

“Airbyte if you want an out-of-the-box marketing analytics experience; it is also called out as needing dbt skills” Perplexity Sonar · negative prompt · soft negative
“Consider Airbyte, but evaluate the maintenance burden and connector behavior for your specific sources” GPT-6 Luna · direct prompt · soft negative
“Airbyte is free for core features and has a growing library of connectors, making it ideal for budget-conscious teams.” Mistral Small · budget prompt · first choice
“Airbyte (bonus for ETL intake): Free open-source for pulling marketing data *into* the warehouse first.” Grok 4.1 Fast · budget prompt · alternative
“If you have engineering resources: Airbyte (free, self-hosted) + open-source warehouse like PostgreSQL” Claude Haiku 4.5 · budget prompt · alternative
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.