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Data warehouse and reverse ETL for marketing · November 2026 Edition

Census vs Fivetran

Zero of fourteen models named Census first on the direct prompt; zero named Fivetran. Census was named by fourteen of the fourteen models and Fivetran by twelve and Census carries 83 labels and Fivetran 31, so the shares are not directly comparable.

Census

accepted challenger

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

Fivetran

criticized challenger

United States. Named in two categories this edition.

First-choice share8%1%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%26%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 12; printed, not drawn.
Labels8331A 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 Fivetran · 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 modelsFivetran
Direct00
Paraphrase30
Comparative20
Budget-constrained004 against Census · 2 against Fivetran
Scale-constrained611 against Census
Negative208 against Census · 6 against Fivetran
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 Fivetran were named in the same answer 100 times, of the 291 answers naming Census and the 136 naming Fivetran. In those answers Fivetran took the first choice one time and Census fifteen.

Every model, every framing

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

The direct prompt

The plain question, one answer per model, grouped by where Census and Fivetran 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 four points.
Census4%#4 of 18
Fivetran0%#8 of 18
The full small business standing →
Mid-marketThe figures above
Census leads by seven points.
Census8%#4 of 12
Fivetran1%#8 of 12
The full mid-market standing →
Enterprise
Census leads by nine points.
Census10%#3 of 12
Fivetran1%#5 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 Fivetran

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

“users have reported unexpected full reloads, transparency issues with MAR pricing, and limited customization” GPT-5.4 mini · negative prompt · soft negative
“Not actually a reverse ETL tool; it's a traditional ELT tool that loads data into the warehouse, not out of it” Claude Haiku 4.5 · negative prompt · soft negative
“Fivetran is also mentioned as a tool that should be used with caution, especially for smaller companies” Llama 4 Maverick · negative prompt · soft negative
“Hightown (acquired by Fivetran) is the gold standard for pure Reverse ETL. It handles complex transformations well.” Qwen 3.7 Flash · scale prompt · first choice
“| Ingestion (ELT) | Fivetran | Airbyte / Meltano | Automated, low-maintenance connectors” Gemini 3.5 Flash · paraphrase prompt · alternative
“Fivetran is typically the safer choice if you want reliability and minimal engineering overhead” Kimi K2 · scale 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.