GTM AI Index
Index GTM data and infrastructure Warehouse & ETL › BigQuery vs Census
Data warehouse and reverse ETL for marketing · September 2026 Edition

BigQuery vs Census

Six of twelve models named BigQuery first on the direct prompt; zero named Census. Both were named by all twelve models and BigQuery carries 65 labels and Census 63, so the shares are not directly comparable.

BigQuery

accepted challenger

By Google Cloud Platform, founded 2008. Named in three categories this edition.

Census

accepted challenger

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

First-choice share24%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 14; printed, not drawn.
Labels6563A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BigQuery 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 BigQuery · Hightouch vs Census · BigQuery vs Snowflake

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.
BigQueryFirst choices, of twelve modelsCensus
Direct60
Paraphrase411 against Census
Comparative62
Budget-constrained814 against Census
Scale-constrained43
Negative127 against BigQuery · 7 against Census
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, BigQuery and Census were named in the same answer 170 times, of the 222 answers naming BigQuery and the 240 naming Census. In those answers Census took the first choice seventeen times and BigQuery fifty.

Every model, every framing

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

The direct prompt

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

BigQuery first, Census an alternative

6 of 12 modelsCensus was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5BigQuery, Hightouch, Polytomic, Snowflake alternatives: Amazon Redshift, Hevo, RudderStack
Gemini 3.5 FlashBigQuery, Hightouch, Snowflake alternatives: Census, Fivetran, dbt
Perplexity SonarBigQuery, Hightouch alternatives: Cometly, Fivetran, Funnel, Improvado, LeadJourney, Segment
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

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniHightouch, Snowflake alternatives: BigQuery, Census, Databricks, Fivetran, 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

1 of 12 modelsThe answer made no first choice from these two in this category.
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
BigQuery leads by twenty-four points.
BigQuery35%#2 of 17
Census12%#3 of 17
The full small business standing →
Mid-marketThe figures above
BigQuery leads by nineteen points.
BigQuery24%#2 of 14
Census5%#4 of 14
The full mid-market standing →
Enterprise
BigQuery leads by one point.
BigQuery11%#3 of 13
Census10%#4 of 13
The full enterprise standing →

What the models said about BigQuery

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

“BigQuery (Proceed with Query Guardrails) ... can cost the company hundreds of dollars in a single click” Gemini 3.5 Flash · negative prompt · soft negative
“BigQuery's pay-per-query model offers flexibility but can get unpredictable based on query volume.” Claude Haiku 4.5 · negative prompt · soft negative
“unpredictable on-demand query costs ($6.25/TB scanned) spike on unoptimized marketing queries” Grok 4.1 Fast · negative prompt · soft negative
“Google BigQuery | Best price-to-performance ratio; separates storage from compute so you only pay for what you query. Zero maintenance.” Qwen 3.7 Flash · paraphrase prompt · first choice
“For most mid-market companies, BigQuery's serverless model and lower operational overhead make it the easier starting point.” GLM 4.7 FlashX · paraphrase prompt · first choice
“BigQuery (free tier) → dlt or open-source Airbyte → dbt Core → Looker Studio, plus Adapters (~$49/month) for reverse ETL” DeepSeek V4 Flash · budget prompt · first choice

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
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.