September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › GTM › GTM data and infrastructure › Warehouse & ETL › Small business · September 2026 Edition

Data warehouse and reverse ETL for marketing for small business buyers

Asked as “marketing data warehouse and reverse ETL stack”, and as “reverse ETL and warehouse setup for a marketing team”, on behalf of a small B2B company. 85 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
39%
Contested · BigQuery 35%
39Hightouch35BigQuery12Census14others

39% of first choices, contested.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Hightouch39%17%63endorsed leader
02BigQuery Lab in the set35%8%64endorsed leader
03Census12%20%60accepted challenger
04Snowflake4%39%61criticized challenger
05Polytomic2%13%23accepted challenger
06RudderStack Reverse ETL2%29%24criticized challenger
07Airbyte1%6%31accepted challenger
Show the ten products at 0%, ordered by negative rate
17Amazon Redshift0%48%29criticized challenger
16Databricks SQL Warehouse0%45%20criticized challenger
15Segment0%38%13criticized challenger
14PostgreSQL0%29%17criticized challenger
09Fivetran0%26%39criticized challenger
10Improvado0%11%19accepted challenger
08dbt0%9%32accepted challenger
13Hevo0%8%13accepted challenger
12Looker Studio Lab in the set0%0%12accepted challenger
11Metabase0%0%12accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.

BigQuery is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice three times of 4; the other eleven models twenty-seven times of 44. Looker Studio is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other eleven models zero times of 44. Lab treatment is defined on the method page; the row is marked, not excluded.

Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All fifteen head-to-head pages: the top six products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
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02
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05
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Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Hightouch39%
02BigQuery35%
03Census12%
04Snowflake4%
05Polytomic2%
06RudderStack Reverse ETL2%
07Airbyte1%
08dbt0%
09Fivetran0%
10Improvado0%
11Metabase0%
12Looker Studio0%
13Hevo0%
14PostgreSQL0%
15Segment0%
16Databricks SQL Warehouse0%
17Amazon Redshift0%

What they warned about

One of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, 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 and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Hightouch
17%
11 of 63 labels negative · 9 of 12 models · 2 hard negative
“Tools with Row-Based Pricing Models (MAR/MTR)Examples: Hightouch, Census, Fivetran Activations - Why to avoid: Costs scale unpredictably” Mistral Small, negative prompt
Snowflake
39%
24 of 61 labels negative · 8 of 12 models · 5 hard negative
“small businesses should generally avoid or delay: - Snowflake if the team is too small to justify warehouse-centric operations” Perplexity Sonar, negative prompt
Census
20%
12 of 60 labels negative · 8 of 12 models · 3 hard negative
“Examples: Hightouch, Census, Fivetran Activations - Why to avoid: Costs scale unpredictably with campaign activity” Mistral Small, negative prompt
Amazon Redshift
48%
14 of 29 labels negative · 7 of 12 models · 5 hard negative
“avoid or delay ... Amazon Redshift if you do not have stable, high-volume reporting needs or the staff to manage warehouse operations.” Perplexity Sonar, negative prompt

What they cite

Four of the twelve models returned a source list in this edition: four return the pages they cited.

Sites the answers cite

23 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 324 links across 114 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.

vendor site · Improvado16 answers · 32 citations · 3 models
vendor site · Domo11 answers · 11 citations · 3 models
vendor site · Hightouch9 answers · 17 citations · 4 models
vendor site · Integrate9 answers · 9 citations · 3 models
vendor site · Funnel8 answers · 13 citations · 3 models
8 answers · 10 citations · 2 models
vendor site · DinMo7 answers · 7 citations · 3 models
vendor site · Cometly6 answers · 14 citations · 2 models
vendor site · Supermetrics6 answers · 9 citations · 2 models
vendor site · LeadJourney6 answers · 6 citations · 2 models
5 answers · 7 citations · 3 models
5 answers · 5 citations · 3 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best marketing data warehouse and reverse etl stack”, “marketing data warehouse and reverse etl stack”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Hightouch hightouch.com39%39912,100434127,77223
Google cloud.google.com
BigQuery 35%, Looker Studio 0%, Looker 0%
35%20840,5004527,405,347
Fivetran fivetran.com
Census 12%, Fivetran 0%
12%23860,50014,42441,501 company$12697
Snowflake snowflake.com4%234368,00037,077718,749118
Polytomic polytomic.com2%59590168821
RudderStack Reverse ETL rudderstack.com2%12220046,132502
Airbyte airbyte.com1%1056,60012017,507$32042
MotherDuck motherduck.com1%145,4006622,21230
Weld weld.app1%7165,000152,39130,3350
Supabase supabase.com1%3165,0001,97491,4244

Google's top ten for the two searches hold 17 sites; 5 of them are among the sites the models cited here (dinmo.com, domo.com, getbruin.com, improvado.io, integrate.io). The first result for “best marketing data warehouse and reverse etl stack” is improvado.io.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
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ModelDirect“What is the best marketing data warehouse and reverse ETL stack for a small B2B company?”Paraphrase“Which reverse ETL and warehouse setup for a marketing team would you recommend to a small business that sells to other businesses?”Comparative“What are the top data warehouse and reverse ETL tools for marketing teams for a small team and how do they differ?”Budget-constrained“What is the best marketing data warehouse and reverse ETL stack for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a marketing data warehouse and reverse ETL stack. What should we look at?”Negative“Which data warehouse and reverse ETL tools for marketing teams should a small business avoid or be cautious about?”
Claude Haiku 4.5BigQuery
Three alternativesHevo, Hightouch, Polytomic
BigQuery, HightouchChanged
Three alternativesCensus, Hevo, Snowflake
Hevo
One alternativeImprovado
BigQuery, MotherDuck
Two alternativesClicData, Hevo
no first choiceagainst: Airbyte, Census, Hightouch, Segment
GPT-5.4 miniBigQuery, Hightouch
Six alternativesAirbyte, Amazon Redshift, Fivetran, PostgreSQL, Snowflake, dbt
BigQuery, HightouchHeld
Three alternativesCensus, PostgreSQL, Snowflake
Hightouch, Snowflake
Three alternativesBigQuery, Census, Databricks SQL Warehouse
against: Segment
BigQuery, Hightouch
One alternativePostgreSQL
against: Amazon Redshift, Snowflake
BigQuery, Census, Hightouch, Snowflake
Six alternativesAirbyte, Fivetran, Looker, Metabase, Mode, dbt
against: Databricks SQL Warehouse
against: Amazon Redshift, BigQuery, Boomi Data Integration, Databricks SQL Warehouse, Fivetran, Hightouch, Segment, Snowflake, Workato
Gemini 3.5 FlashBigQuery, Hightouch, Polytomic
Four alternativesAirbyte, Fivetran, MotherDuck, dbt
against: Amazon Redshift, Snowflake
Hightouch, PolytomicChanged
Two alternativesBigQuery, dbt
BigQuery, Hightouch
Four alternativesCensus, MotherDuck, Polytomic, Snowflake
BigQuery, Hightouch
Four alternativesBruin CLI, Fivetran, dbt, ingestr
against: Census, Snowflake, dbt
BigQuery, Hightouch
Three alternativesAirbyte, Polytomic, Supermetrics
against: Census, Fivetran, Grouparoo, Snowflake
against: Amazon Redshift, Census, Databricks SQL Warehouse, Hightouch, RudderStack Reverse ETL, Segment, Snowflake
Perplexity SonarBigQuery, Hightouch
Five alternativesAirbyte, Census, Fivetran, LeadJourney, dbt
against: Snowflake
BigQuery, Census, HightouchChanged
One alternativeSnowflake
BigQuery, Census, Hightouch, Snowflake
Three alternativesAmazon Redshift, Funnel, Supermetrics
against: Improvado
BigQuery
Seven alternativesAirbyte, Cometly, LeadJourney, Metabase, Stitch, Weld, dbt
against: Improvado
no first choiceagainst: Amazon Redshift, BigQuery, Census, Hightouch, RudderStack Reverse ETL, Snowflake
Grok 4.20BigQuery, Census, Hightouch
Three alternativesAirbyte, Looker Studio, dbt
against: Snowflake
BigQuery, HightouchChanged
Two alternativesCensus, PostgreSQL
against: RudderStack Reverse ETL, Snowflake
BigQuery, Hightouch
Five alternativesCensus, Mozart Data, RudderStack Reverse ETL, Skyvia, Snowflake
against: Amazon Redshift, Databricks SQL Warehouse
BigQuery
Three alternativesAirbyte, Census, Hightouch
against: Amazon Redshift, PostgreSQL, Power My Analytics, Snowflake
Census, Hightouch
Four alternativesBigQuery, Fivetran, Snowflake, Weld
against: Amazon Redshift, BigQuery, Census, Databricks SQL Warehouse, Hightouch, Polytomic, Snowflake
Mistral SmallBigQuery, Census, Hightouch
Five alternativesDreamdata, HubSpot Marketing Hub, Salesforce Data Cloud, Segment, Snowflake
HightouchChanged
Five alternativesAirbyte, BigQuery, Census, Snowflake, dbt
against: Fivetran
BigQuery, Census, Hightouch, Snowflake
Five alternativesGrouparoo, Improvado, Mozart Data, Polytomic, RudderStack Reverse ETL
Airbyte, BigQuery, Census
Six alternativesDuckDB, Grouparoo, Hightouch, Looker Studio, PostgreSQL, RudderStack Reverse ETL
BigQuery, Hightouch
Six alternativesAirbyte, Amazon Redshift, Census, Fivetran, Polytomic, Snowflake
against: Census, Confluent, Hightouch, IBM Db2 Warehouse, Matillion, Oracle Autonomous Data Warehouse, Redshift Serverless, Snowflake, Teradata VantageCloud, Traditional SQL Server + On-Prem Solutions
DeepSeek V4 FlashBigQuery, Hightouch
Eight alternativesAirbyte, Census, Fivetran, Looker Studio, Metabase, Mozart Data, Redshift Serverless, dbt
against: Databricks SQL Warehouse, PostgreSQL, Snowflake
HightouchChanged
Seven alternativesAirbyte, BigQuery, Census, Hevo, Looker Studio, Metabase, dbt
against: Fivetran, Microsoft Power BI, PostgreSQL, Snowflake, Tableau
BigQuery, Census, Polytomic
Four alternativesMozart Data, RudderStack Reverse ETL, Skyvia, Snowflake
against: Amazon Redshift, Databricks SQL Warehouse, Hightouch
BigQuery, Hightouch, RudderStack Reverse ETL
Four alternativesAirbyte, Looker Studio, Metabase, dbt
against: Amazon Redshift, Fivetran, PostgreSQL, Snowflake, dbt
BigQuery, Hightouch
Five alternativesCensus, Mozart Data, Peliqan, Polytomic, Weld
against: Fivetran, Snowflake
against: Amazon Redshift, Amperity, BigQuery, Census, ClickHouse, Databricks SQL Warehouse, GrowthLoop, Hightouch, Polytomic, Snowflake
Llama 4 MaverickHightouch
Four alternativesBigQuery, Census, Segment, Snowflake
no first choiceChangedHightouch
Two alternativesCensus, Fivetran
Weld
Three alternativesFivetran, Hevo, Stitch
Hightouch
Three alternativesCensus, Improvado, RudderStack Reverse ETL
nothing named
Qwen 3.7 FlashBigQuery, Hightouch
Five alternativesCensus, Fivetran, Improvado, Polytomic, dbt
against: Snowflake
Hightouch, SupabaseChanged
Four alternativesCeleryHQ, Meltano, Snowflake, Stitch Data
against: Amazon Redshift, Fivetran, Segment, dbt
BigQuery, Hightouch
Five alternativesCensus, Fivetran, Improvado, Snowflake, Supermetrics Sync
against: Amazon Redshift, Skyvia
BigQuery
Four alternativesCensus, Hightouch, Looker Studio, Snowflake
against: Supermetrics
BigQuery, Census
Five alternativesAirbyte, Fivetran, Hightouch, Snowflake, dbt
against: RudderStack Reverse ETL
against: Airbyte, Netezza, RudderStack Reverse ETL, Snowflake, Teradata
Kimi K2BigQuery, RudderStack Reverse ETL
Four alternativesAirbyte, Census, Hightouch, MotherDuck
against: Snowflake
HightouchChanged
Nine alternativesAirbyte, BigQuery, Census, Definite, Fivetran, HubSpot, Looker Studio, Mozart Data, dbt
against: GrowthLoop, Hevo, Polytomic, RudderStack Reverse ETL, Snowflake
BigQuery, Census, Hightouch
Six alternativesFunnel, Mozart Data, Porter Metrics, RudderStack Reverse ETL, Snowflake, Supermetrics
against: Fivetran
BigQuery, Hightouch Free Tier
Five alternativesAirbyte, Census, Metabase, RudderStack Reverse ETL, dbt
against: Snowflake
no first choiceagainst: Amazon Redshift, BigQuery, Census, Databricks SQL Warehouse, Fivetran, Hightouch, RudderStack Reverse ETL, Snowflake, Supermetrics
GLM 4.7 FlashXHightouch, Snowflake
Seven alternativesAirbyte, BigQuery, Census, Fivetran, Improvado, RudderStack Reverse ETL, dbt
Census, HightouchChanged
Six alternativesAirbyte, BigQuery, Fivetran, Polytomic, PostgreSQL, dbt
Hightouch, Snowflake
Six alternativesAmazon Redshift, BigQuery, Census, Databricks SQL Warehouse, Hevo, Segment
Hightouch
Five alternativesAirbyte, Airtable, BigQuery, Improvado, Zapier
BigQuery, Hightouch, Snowflake
Six alternativesAirbyte, Census, Fivetran, Improvado, Looker, dbt
against: PostgreSQL
MiniMax M2.5BigQuery, Census, Hightouch
Four alternativesFivetran, PostgreSQL, Snowflake, dbt
HightouchChanged
Four alternativesCensus, Improvado, Skyvia, Snowflake
BigQuery, Hightouch
Four alternativesAirbyte, Census, Fivetran, Redshift Serverless
BigQuery, Census
Five alternativesAirbyte, Definite, Metabase, Seekwell, dbt
against: Hightouch
Hightouch
Three alternativesCensus, Fivetran, RudderStack Reverse ETL
against: Census, Fivetran, Hightouch
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:30yes1816 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:25yes26 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-15 00:45yes1124 s
Direct recommendationPerplexity Sonarsonar2026-09-14 23:35yes209 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 01:49yes010 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-15 04:25yes010 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 00:35yes054 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:47yes02 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 03:31yes043 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-15 01:35yes052 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:43yes073 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 01:20yes018 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:37yes2514 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:42yes56 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:39yes1632 s
ParaphrasePerplexity Sonarsonar2026-09-15 04:03yes206 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 02:14yes010 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-15 03:07yes010 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-14 23:45yes056 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:12yes02 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:35no044 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-15 00:08yes081 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 01:19yes015 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-14 23:01yes014 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 01:45yes1311 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 03:53yes59 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-15 02:20yes1826 s
ComparativePerplexity Sonarsonar2026-09-14 23:06yes2013 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 01:51yes08 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-15 01:35yes09 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 01:52yes019 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:26yes03 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:25yes046 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:27yes060 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 01:33yes0140 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:18yes029 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 00:37yes179 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 03:16yes65 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:40yes1831 s
Budget constrainedPerplexity Sonarsonar2026-09-15 04:39yes207 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 02:52yes09 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 01:06yes010 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 00:22yes058 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:50yes02 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:50yes025 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 01:58yes057 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:23yes038 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-14 23:41yes025 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:31no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:48yes48 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:45yes2038 s
Scale constrainedPerplexity Sonarsonar2026-09-15 02:12yes207 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 04:09yes010 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 00:52yes013 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 04:49yes034 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:11yes03 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 01:54yes045 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 04:09yes05 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:20yes091 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:33yes014 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:11yes1610 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 03:48yes36 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-15 01:38yes726 s
Negative framingPerplexity Sonarsonar2026-09-14 23:56yes207 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 00:27yes011 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-15 04:29yes012 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-14 23:00yes066 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 04:20yes04 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 03:58yes044 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-15 01:38yes0101 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 00:54yes0254 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:49yes034 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Databricks read as Databricks SQL Warehouse
Databricks (Delta Lake) read as Databricks SQL Warehouse
RudderStack read as RudderStack Reverse ETL
RudderStack Free read as RudderStack Reverse ETL
Unresolved, counted raw
1ClickReport
Boomi Data Integration
Bruin CLI
CeleryHQ
DLH.io
Hightouch Free Tier
Multivoven
Neon/Supabase Postgres
Netezza
Outfunnel
PopSQL
Segmently
Supermetrics Sync
Teradata VantageCloud
Traditional SQL Server + On-Prem Solutions
ingestr
Discontinued, still offered
Mistral Small named Grouparoo as alternative on the comparative prompt. Open source reverse ETL, shut down 2023.
Grok 4.20 named Grouparoo as mention on the comparative prompt. Open source reverse ETL, shut down 2023.
MiniMax M2.5 named Grouparoo as mention on the budget prompt. Open source reverse ETL, shut down 2023.
Mistral Small named Grouparoo as alternative on the budget prompt. Open source reverse ETL, shut down 2023.
Grok 4.20 named Grouparoo as alternative on the negative prompt. Open source reverse ETL, shut down 2023.
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