# Census vs Polytomic: which do AI models recommend for Warehouse & ETL, September 2026

GTM AI Recommendation Index, September 2026 Edition, Data warehouse and reverse ETL for marketing. Zero of twelve models named Census first on the direct prompt; one named Polytomic. Page: https://gtm-ai-index.com/gtm-data/data-warehouse-reverse-etl/census-vs-polytomic/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Census | 5% | #4 of 14 | 19% | 63 | 12 of 12 |
| Polytomic | 1% | #6 of 14 | 14% | 21 | 9 of 12 |

## The direct prompt, model by model

- Claude Haiku 4.5: polytomic first (first choices: BigQuery, Hightouch, Polytomic, Snowflake) (alternatives: Amazon Redshift, Hevo, RudderStack)
- GPT-5.4 mini: neither first, one named (first choices: Hightouch, Snowflake) (alternatives: BigQuery, Census, Databricks, Fivetran, dbt)
- Gemini 3.5 Flash: neither first, one named (first choices: BigQuery, Hightouch, Snowflake) (alternatives: Census, Fivetran, dbt)
- Grok 4.1 Fast: neither first, one named (first choices: BigQuery, Hightouch) (alternatives: Census, Snowflake)
- Mistral Small: neither first, one named (first choices: BigQuery, Hightouch) (alternatives: Airbyte, Census, Databricks, Fivetran, Improvado, Snowflake, dbt)
- DeepSeek V4 Flash: neither first, one named (first choices: BigQuery, Hightouch) (alternatives: Airbyte, Census, Fivetran, PostgreSQL, Snowflake, dbt)
- Qwen 3.7 Flash: neither first, one named (first choices: Hightouch, Snowflake) (alternatives: BigQuery, Census, Fivetran, Improvado, Polytomic, dbt)
- Kimi K2: neither first, one named (first choices: Hightouch, Snowflake) (alternatives: Airbyte, BigQuery, Census, Fivetran, Hevo, Improvado, Polytomic, dbt)
- GLM 4.7 FlashX: neither first, one named (first choices: Hightouch, Snowflake) (alternatives: BigQuery, Census, Databricks, Polytomic, dbt)
- MiniMax M2.5: neither first, one named (first choices: Hightouch, Snowflake) (alternatives: BigQuery, Census)
- Perplexity Sonar: neither named (first choices: BigQuery, Hightouch) (alternatives: Cometly, Fivetran, Funnel, Improvado, LeadJourney, Segment)
- Llama 4 Maverick: neither named

## What the models said about Census

- "❌ 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 Polytomic

- "❌ Polytomic: Starts at $500/month" (GLM 4.7 FlashX, budget prompt, hard negative)
- "Be cautious if you need scale or marketing autonomy. - Limited destination coverage" (Kimi K2, negative prompt, soft negative)
- "While mentioned as an option, it's newer with limited market validation" (Mistral Small, negative prompt, soft negative)
- "Start with Hightouch or Polytomic" (Claude Haiku 4.5, direct prompt, first choice)
- "Best for: Small/mid-market teams needing bidirectional sync ... Notable caveat: Smaller destination library" (DeepSeek V4 Flash, comparative prompt, alternative)
- "Polytomic is often chosen by startups and mid-sized businesses with limited engineering bandwidth." (Claude Haiku 4.5, paraphrase prompt, alternative)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.