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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Hightouch | 42% | #1 of 14 | 14% | 65 | 12 of 12 |
| Census | 5% | #4 of 14 | 19% | 63 | 12 of 12 |

## The direct prompt, model by model

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

## What the models said about Hightouch

- "Both Census and Hightouch excel at the "reverse" direction but require separate solutions... This fragmentation increases complexity and maintenance burden." (Claude Haiku 4.5, negative prompt, soft negative)
- "Hightouch (Caution on Scaled Pricing) ... pricing can quickly scale into the tens of thousands of dollars per year." (Gemini 3.5 Flash, negative prompt, soft negative)
- "Hightouch is the most commonly recommended starting point — strong destination coverage, good visual builder, and handles enterprise workloads well" (MiniMax M2.5, scale prompt, first choice)

## 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)

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.