Data warehouse and reverse ETL for marketing · November 2026 Edition
Census vs RudderStack Reverse ETL
Zero of fourteen models named Census first on the direct prompt; zero named RudderStack Reverse ETL. Both were named by all fourteen models and Census carries 83 labels and RudderStack Reverse ETL 52, so the shares are not directly comparable.
By Fivetran, United States. Named in five categories this edition.
Named in one category this edition.
First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 12; printed, not drawn.
Labels8352A 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 fourteen of the fourteen direct answers. Hightouch vs Census · Hightouch vs RudderStack Reverse ETL · BigQuery vs Census
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CensusFirst choices, of fourteen modelsRudderStack Reverse ETL
Direct00
Paraphrase311 against RudderStack Reverse ETL
Comparative20
Budget-constrained004 against Census
Scale-constrained611 against Census · 2 against RudderStack Reverse ETL
Negative208 against Census · 5 against RudderStack Reverse ETL
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, Census and RudderStack Reverse ETL were named in the same answer 126 times, of the 291 answers naming Census and the 139 naming RudderStack Reverse ETL. In those answers RudderStack Reverse ETL took the first choice zero times and Census twenty-one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Census and RudderStack Reverse ETL stood in it.
| 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 | | | | | | |
Census RudderStack Reverse ETL first choice named as an alternative argued againstblank: not namedEach cell is one answer, Census on the left and RudderStack Reverse ETL on the right.The direct prompt
The plain question, one answer per model, grouped by where Census and RudderStack Reverse ETL stood in it.
Neither was the first choice, one was named
13 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Hightouch alternatives: Amazon Redshift, BigQuery, Census, Hevo, Improvado, Polytomic, Snowflake
Gemini 3.5 FlashHightouch, Snowflake alternatives: BigQuery, Census, Fivetran, dbt
Perplexity SonarBigQuery, Hightouch, Snowflake alternatives: Airbyte, Census, Fivetran, Improvado, Omnata, RudderStack Reverse ETL, Segment, dbt
Grok 4.20BigQuery, Hightouch alternatives: Airbyte, Census, Fivetran, Snowflake, dbt
Mistral SmallHightouch, Snowflake alternatives: BigQuery, Census, dbt
DeepSeek V4 FlashBigQuery, Hightouch alternatives: Airbyte, Census, Dreamdata, Fivetran, HockeyStack, Looker Studio, Snowflake, dbt
Llama 4 MaverickHightouch alternatives: BigQuery, Census, Snowflake, dbt
Qwen 3.7 FlashHightouch, Snowflake alternatives: Airbyte, BigQuery, Fivetran, RudderStack Reverse ETL
Kimi K2BigQuery, Hightouch, Snowflake alternatives: Airbyte, Census, Fivetran, dbt
GLM 4.7 FlashXBigQuery, Hightouch alternatives: Airbyte, Census, RudderStack Reverse ETL, dbt
MiniMax M2.5BigQuery, Hightouch, Snowflake alternatives: Census, dbt
GPT-6 LunaBigQuery, Snowflake alternatives: Census, Fivetran, Hightouch, dbt
Muse Glimmer 30BHightouch alternatives: Census, RudderStack Reverse ETL, dbt
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniHightouch, Snowflake alternatives: BigQuery, Hightouch Composable CDP, dbt
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 four points.
Census4%#4 of 18RudderStack Reverse ETL0%#7 of 18Mid-marketThe figures above
Census leads by seven points.
Census8%#4 of 12RudderStack Reverse ETL2%#6 of 12Enterprise
Census leads by ten points.
Census10%#3 of 12RudderStack Reverse ETL0%#9 of 12What 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
What the models said about RudderStack Reverse ETL
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“SQL- or configuration-heavy interfaces may require ongoing data-team support rather than allowing marketers to create and manage audiences independently” Perplexity Sonar · negative prompt · soft negative
“The platform is overkill for batch-only use cases, and marketing teams without engineering support will struggle to maintain the platform” Claude Haiku 4.5 · negative prompt · soft negative
“Requires strong data engineering expertise to maintain | More complex implementation than managed solutions” MiniMax M2.5 · negative prompt · soft negative
“using a reverse ETL tool such as Hightouch, Census, or RudderStack” Llama 4 Maverick · paraphrase prompt · first choice
“RudderStack is a popular choice for reverse ETL” Llama 4 Maverick · scale prompt · first choice
“Better if you need real-time event streaming + reverse ETL in one platform, but requires more engineering involvement” DeepSeek V4 Flash · paraphrase prompt · alternative
Also compared
Hightouch vs CensusHightouch vs RudderStack Reverse ETLBigQuery vs CensusBigQuery vs RudderStack Reverse ETLSnowflake vs CensusSnowflake vs RudderStack Reverse ETLCensus vs AirbyteCensus vs dbtCensus vs FivetranAirbyte vs RudderStack Reverse ETLRudderStack Reverse ETL vs dbtRudderStack Reverse ETL vs FivetranAll twenty-eight head-to-head pages and the full Warehouse & ETL standing
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.