BigQuery vs Census
Seven of fourteen models named BigQuery first on the direct prompt; zero named Census. Both were named by all fourteen models and BigQuery carries 75 labels and Census 83, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in five categories this edition.
By Fivetran, United States. Named in five categories this edition.
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
BigQueryFirst choices, of fourteen modelsCensus
Across every category in the November 2026 Edition, BigQuery and Census were named in the same answer 189 times, of the 245 answers naming BigQuery and the 291 naming Census. In those answers Census took the first choice seventeen times and BigQuery eighty-seven.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | | | |
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
BigQuery first, Census an alternative
7 of 14 modelsCensus was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
BigQuery44%#1 of 18Census4%#4 of 18Census10%#3 of 12BigQuery7%#4 of 12What the models said about BigQuery
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Using Snowflake, BigQuery, or Databricks directly for marketing activation... they offer zero native activation” Qwen 3.7 Flash · negative prompt · soft negative
“marketing teams should be careful if they need tight cost control and predictable execution at scale” GPT-5.4 mini · negative prompt · soft negative
“If your budget is lean and you rely heavily on GA4/Google Ads: Go with Google BigQuery (DW) + Hightouch or Census (Reverse ETL).” Gemini 3.5 Flash · comparative prompt · first choice
“Choose BigQuery if you're heavily invested in Google Marketing Platform (GA4, Google Ads) — the native exports make setup trivial” Kimi K2 · direct prompt · first choice
“Often the #1 choice for marketing teams because it natively connects to Google's marketing platforms without third-party ETL tools.” DeepSeek V4 Flash · comparative 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. 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
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.