Managed relational databases
Asked as “managed relational database service”, and as “hosted SQL database”, on behalf of a mid-market B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
51%
Clear leader
51Amazon RDS09Azure SQL Database08Amazon Aurora32others
51% of first choices, clear leader.
Since October 2026▲+6Since October 2026: 45% → 51%, +6 points. Inside the 11-point floor: within noise.Amazon RDS held the lead, +6 points on 45%, inside the 11-point floor.
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.
Small business
Supabase29%Contested↗new leaderNew leader since October 2026: Supabase (29%) replaces Amazon RDS (24% then, 24% now), 5 points clear, inside the 11-point floor.Standing →Mid-market
Amazon RDS51%Clear leader▲+6Since October 2026: 45% → 51%, +6 points. Inside the 11-point floor: within noise.This pageEnterprise
Amazon Aurora43%Clear leader▲+17Since October 2026: 26% → 43%, +17 points. Past the 11-point floor: movement.Standing →
Supabase29%Contested↗new leaderNew leader since October 2026: Supabase (29%) replaces Amazon RDS (24% then, 24% now), 5 points clear, inside the 11-point floor.Standing →Mid-marketAmazon RDS51%Clear leader▲+6Since October 2026: 45% → 51%, +6 points. Inside the 11-point floor: within noise.This pageEnterpriseAmazon Aurora43%Clear leader▲+17Since October 2026: 26% → 43%, +17 points. Past the 11-point floor: movement.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Amazon RDS51%18%72endorsed leader▲+6Since October 2026: 45% → 51%, +6 points. Inside the 11-point floor: within noise.45% → 51%
Amazon RDS51%18%72endorsed leader▲+6Since October 2026: 45% → 51%, +6 points. Inside the 11-point floor: within noise.45% → 51%02
Azure SQL Database9%17%59accepted challenger▲+7Since October 2026: 2% → 9%, +7 points. Inside the 11-point floor: within noise.2% → 9%
Azure SQL Database9%17%59accepted challenger▲+7Since October 2026: 2% → 9%, +7 points. Inside the 11-point floor: within noise.2% → 9%03
Google Cloud SQL Lab in the set8%16%73accepted challenger▼−2Since October 2026: 10% → 8%, −2 points. Inside the 11-point floor: within noise.10% → 8%
Google Cloud SQL Lab in the set8%16%73accepted challenger▼−2Since October 2026: 10% → 8%, −2 points. Inside the 11-point floor: within noise.10% → 8%04Amazon Aurora8%20%50accepted challenger▼−4Since October 2026: 12% → 8%, −4 points. Inside the 11-point floor: within noise.12% → 8%
Amazon Aurora8%20%50accepted challenger▼−4Since October 2026: 12% → 8%, −4 points. Inside the 11-point floor: within noise.12% → 8%05Supabase8%12%24accepted challenger▲+1Since October 2026: 7% → 8%, +1 point. Inside the 11-point floor: within noise.7% → 8%
Supabase8%12%24accepted challenger▲+1Since October 2026: 7% → 8%, +1 point. Inside the 11-point floor: within noise.7% → 8%06
DigitalOcean Managed Databases8%6%16accepted challenger▼−1Since October 2026: 9% → 8%, −1 point. Inside the 11-point floor: within noise.9% → 8%
DigitalOcean Managed Databases8%6%16accepted challenger▼−1Since October 2026: 9% → 8%, −1 point. Inside the 11-point floor: within noise.9% → 8%07
Neon4%10%20accepted challenger▼−6Since October 2026: 10% → 4%, −6 points. Inside the 11-point floor: within noise.10% → 4%
Neon4%10%20accepted challenger▼−6Since October 2026: 10% → 4%, −6 points. Inside the 11-point floor: within noise.10% → 4%Show the four products at 0%, ordered by negative rate
10
PlanetScale0%26%19criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
PlanetScale0%26%19criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%11CockroachDB0%25%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
09
Azure Database for PostgreSQL0%18%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Azure Database for PostgreSQL0%18%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08AlloyDB for PostgreSQL0%15%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
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.
Google Cloud SQL 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 thirteen models four times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to head
All twenty-one head-to-head pages: the top seven products, each against each
Amazon RDS vs SupabaseAmazon RDS vs DigitalOcean Managed DatabasesAmazon RDS vs NeonAzure SQL Database vs Google Cloud SQLAzure SQL Database vs Amazon AuroraAzure SQL Database vs SupabaseAzure SQL Database vs DigitalOcean Managed DatabasesAzure SQL Database vs NeonGoogle Cloud SQL vs Amazon AuroraGoogle Cloud SQL vs SupabaseGoogle Cloud SQL vs DigitalOcean Managed DatabasesGoogle Cloud SQL vs NeonAmazon Aurora vs SupabaseAmazon Aurora vs DigitalOcean Managed DatabasesAmazon Aurora vs NeonSupabase vs DigitalOcean Managed DatabasesSupabase vs NeonDigitalOcean Managed Databases vs Neon
One product takes 51% of first choices here, so the chart would put ten markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Two products carry a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Grok 4.20, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and Muse Glimmer 30B 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.
Amazon RDS18%
13 of 72 labels negative · 11 of 14 models · 5 hard negative
“Some models explicitly recommend avoiding RDS for production core systems unless absolutely necessary.” Muse Glimmer 30B, negative prompt
Azure SQL Database17%
10 of 59 labels negative · 10 of 14 models · 2 hard negative
“frequent 60‑second storage stalls, IOPS throttling, memory‑to‑core mismatches” GLM 4.7 FlashX, negative prompt
Google Cloud SQL16%
12 of 73 labels negative · 9 of 14 models · 2 hard negative
“Avoid (or treat with extreme caution): - Google Cloud SQL – accidental deletion risk, limited backup/recovery, low control over storage.” GLM 4.7 FlashX, negative prompt
Amazon Aurora20%
10 of 50 labels negative · 7 of 14 models · 3 hard negative
“Some models explicitly recommend avoiding RDS for production core systems unless absolutely necessary.” Muse Glimmer 30B, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
67 of 84 answers in this category came back with a source list, from 13 of 14 models: citations where the model returns them, or the search results it consulted. 744 links across 187 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 1 model searched through a gateway that returned no source list on this edition. 92 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
publisher (Gane)32 answers · 55 citations · 10 models
vendor site · Amazon31 answers · 70 citations · 11 models
vendor site · Amazon22 answers · 33 citations · 10 models
vendor site · Microsoft18 answers · 31 citations · 8 models
vendor site · Google18 answers · 30 citations · 8 models
vendor site · Google17 answers · 21 citations · 10 models
vendor site · GitHub16 answers · 17 citations · 7 models
13 answers · 16 citations · 8 models
12 answers · 12 citations · 6 models
vendor site · Microsoft11 answers · 19 citations · 7 models
10 answers · 12 citations · 7 models
10 answers · 10 citations · 6 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.
21 answers · 10 models
19 answers · 9 models
14 answers · 8 models
14 answers · 6 models
13 answers · 8 models
12 answers · 7 models
11 answers · 6 models
10 answers · 7 models
8 answers · 5 models
8 answers · 7 models
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 managed relational database service”, “managed relational database service”, “managed relational database services”. 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 products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days |
|---|---|---|---|---|---|---|---|
| Amazon aws.amazon.com Amazon RDS 51%, Amazon Aurora 8% | 58% | 164 | 151,000,000 | 1,380,939 | 9,238,321 | $20,476 | |
| Azure parent site Azure SQL Database 9%, Azure Database for PostgreSQL 0%, Azure Database for PostgreSQL/MySQL 0%, Azure SQL Managed Instance 0% | 9% | 136 | 301,000 | 47,904 | |||
| Google Cloud cloud.google.com Google Cloud SQL 8% | 8% | 157 | 165,000 | 7,596 | 7,405,347 | ||
| Supabase supabase.com | 8% | 68 | 165,000 | 1,974 | 91,424 | 4 | |
| DigitalOcean parent site DigitalOcean Managed Databases 8% | 8% | 42 | 74,000 | 942 | |||
| Neon neon.com | 4% | 47 | 135,000 | 66,147 | 73,379 | 1 | |
| Aiven for PostgreSQL aiven.io Aiven Developer Tier for PostgreSQL / MySQL 2%, Aiven for PostgreSQL 0% | 2% | 14 | 10,024 | $59 | 26 | ||
| Amazon RDS for PostgreSQL or MySQL | 2% | ||||||
| Lightsail | 2% | ||||||
| AlloyDB for PostgreSQL | 0% | 50 | 8 |
Google's top ten for the three searches hold 17 sites; 2 of them are among the sites the models cited here (learn.microsoft.com, reddit.com). The first result for “best managed relational database service” is trustradius.com.
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.ShowHide
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.
ShowHideModelDirect“What is the best managed relational database service for a mid-market B2B company?”Paraphrase“Which hosted SQL database would you recommend to a mid-sized B2B company?”Comparative“What are the top managed relational database services and how do they differ?”Budget-constrained“What is the best managed relational database service for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a managed relational database service. What should we look at?”Negative“Which managed relational database services should I avoid or be cautious about?”
Claude Haiku 4.5Amazon RDS, Google Cloud SQLAmazon RDS, Azure SQL DatabaseChangedAmazon RDS, Azure SQL Database, Google Cloud SQLAmazon RDS, Lightsailno first choiceagainst: Amazon RDS, Azure SQL Database, Google Cloud SQL
One alternative
Azure SQL DatabaseTwo alternatives
Google Cloud SQL, PostgreSQL on AWS/GCP/AzureThree alternatives
Aiven for PostgreSQL, PlanetScale, SupabaseThree alternatives
Azure Database, DigitalOcean Managed Databases, Google Cloud SQLGPT-5.4 miniAmazon RDSAmazon RDSHeldagainst: AlloyDB for PostgreSQL, CockroachDB, Google Cloud Spanner, Managed MySQL, Neon, Supabase, YugabyteDBAWS Amazon RDSAmazon RDS for PostgreSQL or MySQLno first choiceagainst: Amazon RDS, Microsoft SQL Server, Oracle
Two alternatives
Amazon Aurora, Azure SQL DatabaseThree alternatives
Amazon Aurora, Azure Database for PostgreSQL, Google Cloud SQLThree alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLOne alternative
Google Cloud SQLGemini 3.5 FlashAmazon AuroraAmazon AuroraHeldagainst: CockroachDB Cloudno first choiceDigitalOcean Managed Databasesagainst: Oracle, standard Amazon RDSno first choiceagainst: AWS RDS Provisioned IOPS, Amazon Aurora, Azure Database for PostgreSQL, Heroku Postgres, MySQL, Oracle Autonomous Database, Oracle Cloud Infrastructure, PlanetScale
Six alternatives
AlloyDB for PostgreSQL, Azure SQL Database, CockroachDB Cloud, Google Cloud SQL, Neon, SupabaseFour alternatives
AlloyDB for PostgreSQL, Azure Database for PostgreSQL, Azure SQL Database, NeonNine alternatives
AlloyDB for PostgreSQL, Amazon Aurora, Amazon RDS, Azure SQL Database, CockroachDB, Google Cloud SQL, Google Cloud Spanner, Neon, PlanetScaleFour alternatives
AWS Lightsail Databases, Azure SQL Database, Neon, SupabaseSeven alternatives
Amazon RDS, Azure SQL Database, GCP AlloyDB, Google Cloud SQL, Neon, PlanetScale, SupabasePerplexity SonarAmazon RDSAmazon RDSHeldagainst: Amazon Aurora, OracleAmazon RDSDigitalOcean Managed Databasesno first choiceagainst: Amazon Aurora, Amazon RDS, CockroachDB, Google Cloud Spanner, Supabase, Vitess-based MySQL
Five alternatives
Amazon Aurora, Azure SQL Database, CockroachDB, Google Cloud SQL, SupabaseTwo alternatives
Azure SQL Database, Google Cloud SQLSeven alternatives
AlloyDB for PostgreSQL, Amazon Aurora, Azure SQL Database, Google Cloud SQL, Google Cloud Spanner, PlanetScale, SupabaseFour alternatives
Amazon RDS, Google Cloud SQL, Neon, SupabaseGrok 4.20Google Cloud SQLagainst: AlloyDB for PostgreSQL, Amazon AuroraAmazon RDSChangedagainst: CockroachDB, Neon, Supabase, YugabyteDBAmazon Aurora, Amazon RDSDigitalOcean Managed Databasesagainst: AWS, Amazon Aurora, Azure, GCPno first choiceagainst: Snowflakeagainst: Amazon RDS, Azure SQL Database, DigitalOcean Managed Databases, Google Cloud SQL, Heroku Postgres
Two alternatives
Amazon RDS, Azure SQL DatabaseThree alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLThree alternatives
Azure SQL Database, Google Cloud SQL, Oracle Autonomous DatabaseFive alternatives
Amazon RDS, Azure Database for PostgreSQL/MySQL, Google Cloud SQL, Heroku Postgres, SupabaseSeven alternatives
Aiven for PostgreSQL, Amazon Aurora, Amazon RDS, Azure SQL Database, Google Cloud SQL, Neon, SupabaseMistral SmallAmazon RDSAmazon RDSHeldAmazon AuroraAmazon RDS, Google Cloud SQLno first choiceagainst: Amazon RDS, Azure SQL Database
Two alternatives
Amazon Aurora, Google Cloud SQLTwo alternatives
Azure SQL Database, Google Cloud SQLThree alternatives
Amazon RDS, Azure SQL Database, Google Cloud SQLFive alternatives
CockroachDB, DigitalOcean Managed Databases, Linode Managed Databases, Supabase, Vultr Managed DatabasesDeepSeek V4 FlashAmazon RDSAmazon RDSHeldno first choiceSupabaseagainst: Amazon RDS, Azure, GCP, Google Cloud SQLno first choiceagainst: Amazon Aurora, Amazon RDS for SQL Server, Azure SQL Database, Google Cloud SQL, Oracle Autonomous Database
Three alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLTwo alternatives
Azure SQL Database, Google Cloud SQLFive alternatives
Amazon Aurora, Amazon RDS, Azure SQL Database, Google AlloyDB for PostgreSQL, Google Cloud SQLTwo alternatives
Aiven for PostgreSQL, DigitalOcean Managed DatabasesLlama 4 MaverickAmazon RDSAmazon RDSHeldAmazon RDSAmazon RDSno first choiceagainst: Amazon Aurora, Amazon RDS, Azure SQL Database, Google Cloud SQL
Two alternatives
Amazon Aurora, Google Cloud SQLThree alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLEight alternatives
Amazon Aurora, Azure SQL Database, DigitalOcean Managed Databases, Google Cloud SQL, Google Cloud Spanner, Neon, PlanetScale, SupabaseFour alternatives
DigitalOcean Managed Databases, Linode Managed Databases, MongoDB, Vultr Managed DatabasesQwen 3.7 FlashAmazon RDSagainst: Amazon AuroraAmazon RDS, Azure SQL DatabaseChangedno first choiceNeon, Supabaseagainst: Amazon RDS, Azure, Google Cloud SQL, Hetznerno first choiceagainst: Amazon Auroraagainst: Amazon RDS, Azure SQL Database, Google Cloud SQL
Two alternatives
Azure SQL Database, Google Cloud SQLTwo alternatives
Amazon Aurora, Google Cloud SQLSix alternatives
AlloyDB for PostgreSQL, Amazon Aurora, Amazon RDS, Azure SQL Database, CockroachDB Cloud, Google Cloud SQLFour alternatives
DigitalOcean Managed Databases, Linode Managed Databases, Render Postgres, Vultr Managed DatabasesKimi K2Amazon RDSAmazon Aurora, Azure SQL DatabaseChangedagainst: PlanetScaleAmazon AuroraNeon, Supabaseagainst: Amazon RDS, Azure, Google Cloud SQL, PlanetScaleno first choiceagainst: Alibaba Cloud ApsaraDB for Cassandra, Amazon QLDB, Amazon RDS, Azure SQL Database, Google Cloud SQL, IBM Cloud Databases, Oracle Data Integration, Rockset
Two alternatives
Azure SQL Database, Google Cloud SQLTwo alternatives
Google Cloud SQL, SupabaseThree alternatives
Amazon RDS, Azure SQL Database, Google Cloud SQLTwo alternatives
DigitalOcean Managed Databases, Vultr Managed DatabasesGLM 4.7 FlashXAmazon RDSAmazon RDS, Azure SQL DatabaseChangedno first choiceGoogle Cloud SQL, Supabaseagainst: PlanetScaleno first choiceagainst: Alibaba Cloud PolarDB, Amazon RDS, Azure Database for PostgreSQL, Azure SQL Database, Azure SQL Managed Instance, Google Cloud SQL, IBM Cloud Database for PostgreSQL, Microsoft Azure Synapse SQL Pool, Oracle Autonomous Database
Two alternatives
Azure SQL Database, Google Cloud SQLOne alternative
Google Cloud SQLFive alternatives
Amazon Aurora, Amazon RDS, Azure SQL Database, Azure SQL Managed Instance, Google Cloud SQLThree alternatives
Amazon Aurora, Azure Database for PostgreSQL/MySQL, NeonMiniMax M2.5Amazon RDSAmazon RDSHeldAmazon RDSAmazon RDSno first choiceagainst: AWS Amplify, Firebase, IBM Cloud Databases, Oracle Cloud Infrastructure, SAP HANA
Three alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLThree alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLFive alternatives
AlloyDB for PostgreSQL, Amazon Aurora, Azure SQL Database, Google Cloud SQL, Google Cloud SpannerFour alternatives
Azure SQL Database, CloudClusters, Google Cloud SQL, Rackspace SpotThree alternatives
Amazon RDS, Azure SQL Database, Google Cloud SQLGPT-6 LunaAmazon RDSAmazon RDSHeldAmazon RDSDigitalOcean Managed Databasesno first choiceagainst: Amazon Aurora DSQL, Amazon Aurora PostgreSQL or MySQL, Azure SQL Database, Google Cloud SQL, PlanetScale
Three alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLThree alternatives
Amazon Aurora, Azure Database for PostgreSQL, Google Cloud SQLSix alternatives
AlloyDB for PostgreSQL, Amazon Aurora, Azure Database for PostgreSQL, Azure SQL Database, Google Cloud SQL, Oracle Autonomous DatabaseTwo alternatives
Neon, SupabaseMuse Glimmer 30BAmazon RDSAmazon Aurora, Azure SQL DatabaseChangedAmazon Aurora, Amazon RDSAiven Developer Tier for PostgreSQL / MySQLno first choiceagainst: Amazon Aurora, Amazon RDS, Azure SQL Database, Google Cloud SQL
Three alternatives
Amazon Aurora, Azure SQL Database, Google Cloud SQLTwo alternatives
Azure SQL Managed Instance, Google Cloud SQLThree alternatives
AlloyDB for PostgreSQL, Azure SQL Database, Google Cloud SQLThree alternatives
Amazon RDS, DigitalOcean Managed Databases, Supabase Hosted PostgresBold 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.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:19 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:41 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:30 | no | 0 | 14 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 13:14 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:48 | yes | 5 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:52 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:16 | yes | 25 | 22 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:22 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:53 | yes | 5 | 42 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 18:25 | yes | 20 | 45 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:38 | yes | 15 | 30 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:49 | yes | 5 | 21 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:49 | yes | 4 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:03 | yes | 14 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:37 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:04 | no | 0 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:54 | no | 0 | 18 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:55 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:57 | yes | 5 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:00 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:02 | yes | 18 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:45 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 19:31 | yes | 5 | 24 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:49 | yes | 19 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:14 | no | 0 | 30 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:39 | yes | 20 | 72 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:12 | yes | 3 | 9 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 19:04 | yes | 15 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:01 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:33 | yes | 5 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:47 | no | 0 | 17 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 18:09 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:29 | yes | 10 | 17 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:08 | yes | 12 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:16 | yes | 24 | 47 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:37 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:00 | yes | 10 | 38 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 18:16 | yes | 15 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:42 | yes | 18 | 123 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:05 | yes | 5 | 27 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 19:02 | yes | 6 | 15 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:30 | yes | 13 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:59 | no | 0 | 5 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:42 | yes | 4 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 19:19 | no | 0 | 18 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 12:09 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:48 | yes | 5 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 19:37 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:11 | yes | 23 | 31 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:45 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:48 | yes | 5 | 22 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:39 | yes | 15 | 21 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 18:57 | yes | 20 | 380 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:41 | yes | 10 | 46 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:35 | yes | 4 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:09 | yes | 23 | 27 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:31 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:15 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:35 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 17:29 | yes | 10 | 7 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:25 | yes | 5 | 13 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:05 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:36 | yes | 23 | 41 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:15 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:55 | no | 0 | 25 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:40 | yes | 25 | 32 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 17:34 | yes | 14 | 100 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:31 | no | 0 | 27 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:42 | yes | 3 | 13 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:04 | yes | 15 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 18:53 | yes | 19 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:30 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:08 | no | 0 | 15 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 08:47 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 19:13 | yes | 5 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 18:05 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:09 | yes | 25 | 59 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:38 | yes | 10 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 18:50 | yes | 5 | 25 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:25 | yes | 25 | 45 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:51 | yes | 25 | 77 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:37 | no | 0 | 14 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:27 | yes | 4 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:09 | yes | 14 | 25 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
AWS Amazon Aurora read as Amazon Aurora
AWS RDS/Aurora read as Amazon RDS
Aiven read as Aiven for PostgreSQL
AlloyDB read as AlloyDB for PostgreSQL
Amazon RDS/Aurora read as Amazon RDS
Azure SQL read as Azure SQL Database
DigitalOcean read as DigitalOcean Managed Databases
Heroku read as Heroku Postgres
Linode read as Linode Managed Databases
Linode (Akamai) read as Linode Managed Databases
Linode (now Akamai) read as Linode Managed Databases
Oracle Autonomous AI Database read as Oracle Autonomous Database
Render read as Render Postgres
Vultr read as Vultr Managed Databases
Unresolved, counted raw
AWS Amazon RDS
AWS Amplify
AWS Aurora DSQL
AWS Lightsail Databases
AWS RDS Provisioned IOPS (io1 / io2)
AWS RDS Proxy
Aiven Developer Tier for PostgreSQL / MySQL
Alibaba Cloud ApsaraDB for Cassandra
Alibaba Cloud PolarDB
Amazon Aurora PostgreSQL or MySQL
Amazon QLDB
Amazon RDS for PostgreSQL or MySQL
Aurora Global
Azure Flexible Server
Azure SQL Database or Managed Instance
CockroachDB Cloud
IBM Cloud Database for PostgreSQL
Managed MongoDB Atlas
Microsoft Azure Synapse SQL Pool
PostgreSQL on AWS/GCP/Azure
Prisma Accelerate
Supabase Hosted Postgres
Vitess-based MySQL
Zalando Postgres
standard Amazon RDS
Discontinued, still offered
No shut-down product was recommended here.