GTM AI Index
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Data warehouse and reverse ETL for marketing · September 2026 Edition

Census vs RudderStack

Zero of twelve models named Census first on the direct prompt; zero named RudderStack. Both were named by all twelve models and Census carries 63 labels and RudderStack 27, so the shares are not directly comparable.

Census

accepted challenger

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

RudderStack

accepted challenger

Named in seven categories this edition.

First-choice share5%1%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 14; printed, not drawn.
Labels6327A 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 eleven of the twelve direct answers. Hightouch vs Census · Hightouch vs RudderStack · BigQuery vs Census

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 Data warehouse and reverse ETL for marketing page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
CensusFirst choices, of twelve modelsRudderStack
Direct00
Paraphrase101 against Census
Comparative20
Budget-constrained114 against Census
Scale-constrained30
Negative207 against Census · 3 against RudderStack
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.

Across every category in the September 2026 Edition, Census and RudderStack were named in the same answer ninety-nine times, of the 240 answers naming Census and the 213 naming RudderStack. In those answers RudderStack took the first choice eight times and Census twenty.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

10 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5BigQuery, Hightouch, Polytomic, Snowflake alternatives: Amazon Redshift, Hevo, RudderStack
GPT-5.4 miniHightouch, Snowflake alternatives: BigQuery, Census, Databricks, Fivetran, dbt
Gemini 3.5 FlashBigQuery, Hightouch, Snowflake alternatives: Census, Fivetran, dbt
Grok 4.1 FastBigQuery, Hightouch alternatives: Census, Snowflake
Mistral SmallBigQuery, Hightouch alternatives: Airbyte, Census, Databricks, Fivetran, Improvado, Snowflake, dbt
DeepSeek V4 FlashBigQuery, Hightouch alternatives: Airbyte, Census, Fivetran, PostgreSQL, Snowflake, dbt
Qwen 3.7 FlashHightouch, Snowflake alternatives: BigQuery, Census, Fivetran, Improvado, Polytomic, dbt
Kimi K2Hightouch, Snowflake alternatives: Airbyte, BigQuery, Census, Fivetran, Hevo, Improvado, Polytomic, dbt
GLM 4.7 FlashXHightouch, Snowflake alternatives: BigQuery, Census, Databricks, Polytomic, dbt
MiniMax M2.5Hightouch, Snowflake alternatives: BigQuery, Census

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Perplexity SonarBigQuery, Hightouch alternatives: Cometly, Fivetran, Funnel, Improvado, LeadJourney, Segment
Llama 4 Maverickno first choice

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 nine points.
Census12%#3 of 17
RudderStack2%#6 of 17
The full small business standing →
Mid-marketThe figures above
Census leads by four points.
Census5%#4 of 14
RudderStack1%#5 of 14
The full mid-market standing →
Enterprise
Census leads by ten points.
Census10%#4 of 13
RudderStack0%#9 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. Five of six in this category shown.

“❌ Census: Requires Enterprise for most features; quote-based pricing” GLM 4.7 FlashX · budget prompt · hard negative
“Both Census and Hightouch excel at the "reverse" direction but require separate solutions for data ingestion, transformation, and real-time replication.” Claude Haiku 4.5 · negative prompt · soft negative
“Why not Census/Fivetran Activations? ... now shifting to consumption-based (MAR) pricing. It's better suited for data engineering-owned pipelines” Kimi K2 · paraphrase prompt · soft negative
“Stick to the current market leaders (Hightouch, Census) which have significant funding” Qwen 3.7 Flash · negative prompt · first choice
“Hightouch and Census are the safest choices for reverse ETL in marketing” Mistral Small · negative prompt · first choice

What the models said about RudderStack

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

“RudderStack (Avoid for Pure Marketing-Led Teams) ... RudderStack is not the right tool.” Gemini 3.5 Flash · negative prompt · hard negative
“overhead for pure reverse ETL (weaker dedicated features); event-volume pricing adds costs” Grok 4.1 Fast · negative prompt · soft negative
“If marketing needs any level of self-service, this is a poor fit.” DeepSeek V4 Flash · negative prompt · soft negative
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.