AI Indexes
IT AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › Data platform › Managed databases › Small business › October 2026 Edition

Managed relational databases for small business buyers

Asked as “managed relational database service”, and as “hosted SQL database”, on behalf of a small B2B company. 67 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
24%
Contested · Supabase 18%
24Amazon RDS18Supabase16Google Cloud SQL42others

24% of first choices, contested.

Since September 2026▼−2Since September 2026: 24% → 22%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Amazon RDS held the lead, −2 points on 24%, 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.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Amazon RDS24%23%71accepted challenger▼−2Since September 2026: 24% → 22%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.24% → 22%
02Supabase18%5%40accepted challenger▲+7Since September 2026: 11% → 18%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 18%
03Google Cloud SQL Lab in the set16%22%64accepted challenger▲+7Since September 2026: 11% → 18%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 18%
04DigitalOcean Managed Databases15%3%38accepted challenger▼−3Since September 2026: 17% → 13%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 13%
05Neon10%10%42accepted challenger▼−3Since September 2026: 15% → 12%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 12%
06Azure SQL Database4%18%34accepted challenger▼−1Since September 2026: 6% → 5%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 5%
07Amazon Aurora1%64%22criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%
Show the one product at 0%, ordered by negative rate
08PlanetScale0%38%34criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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 eleven times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.

All twenty-one head-to-head pages: the top seven 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 →
01
02
03
04
05
06
07
08
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Amazon RDS24%
02Supabase18%
03Google Cloud SQL16%
04DigitalOcean Managed Databases15%
05Neon10%
06Azure SQL Database4%
07Amazon Aurora1%
08PlanetScale0%

What they warned about

Five of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 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.
PlanetScale
38%
13 of 34 labels negative · 11 of 14 models · 8 hard negative
“What to Avoid ... Removed free tier in 2024; pricing starts at $39/month and uses row-based billing that can be unpredictable” Kimi K2, paraphrase prompt
Amazon RDS
23%
16 of 71 labels negative · 10 of 14 models · 1 hard negative
“What to Avoid ... More complex pricing and configuration; better for larger teams with AWS expertise” Kimi K2, paraphrase prompt
Google Cloud SQL
22%
14 of 64 labels negative · 10 of 14 models
“AWS RDS and Google Cloud SQL may not be the best options for small businesses on a tight budget due to their premium pricing and potential lock-in” Llama 4 Maverick, negative prompt
Amazon Aurora
64%
14 of 22 labels negative · 9 of 14 models · 4 hard negative
“"The services to genuinely *avoid* right now are the ones that combine premium pricing with heavy lock-in (Aurora, proprietary engines)"” Muse Glimmer 30B, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

73 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1033 links across 236 sites, every framing counted. Ranked by the number of answers carrying the site or page. 109 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.

vendor site · G245 answers · 78 citations · 11 models
39 answers · 53 citations · 10 models
vendor site · DigitalOcean34 answers · 62 citations · 11 models
vendor site · Amazon25 answers · 55 citations · 11 models
vendor site · SourceForge24 answers · 33 citations · 10 models
vendor site · Northflank22 answers · 30 citations · 10 models
22 answers · 23 citations · 6 models
21 answers · 32 citations · 10 models
18 answers · 19 citations · 10 models
vendor site · Microsoft14 answers · 15 citations · 7 models
13 answers · 15 citations · 5 models
vendor site · Amazon12 answers · 21 citations · 8 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 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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 days
Amazon aws.amazon.com
Amazon RDS 24%, Amazon Aurora 1%
25%168151,000,0001,380,9399,238,321$20,476
Supabase supabase.com18%65165,0001,97491,4244
Google Cloud cloud.google.com
Google Cloud SQL 16%
16%165165,0007,5967,405,347
DigitalOcean parent site
DigitalOcean Managed Databases 15%
15%5074,000942
Neon neon.com10%68135,00066,14773,3791
Azure parent site
Azure SQL Database 4%, Azure Database for PostgreSQL/MySQL 1%, Azure Database for PostgreSQL 0%, Azure Database 0%
6%147301,00047,904
PostgreSQL postgresql.org3%8274,00014,143465,585
MySQL mysql.com1%2974,00017,611257,846
Amazon RDS for PostgreSQL or MySQL1%
CloudClusters.io1%

Google's top ten for the three searches hold 17 sites; 2 of them are among the sites the models cited here (g2.com, learn.microsoft.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
ModelDirect“What is the best managed relational database service for a small B2B company?”Paraphrase“Which hosted SQL database would you recommend to a small business that sells to other businesses?”Comparative“What are the top managed relational database services for a small team and how do they differ?”Budget-constrained“What is the best managed relational database service for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a managed relational database service. What should we look at?”Negative“Which managed relational database services should a small business avoid or be cautious about?”
Claude Haiku 4.5Amazon RDS, Google Cloud SQL
Two alternativesMySQL, PostgreSQL
Amazon RDS, Google Cloud SQLHeld
One alternativeDigitalOcean Managed Databases
Supabase
Three alternativesAmazon RDS, Neon, Northflank
MySQL, PostgreSQL
Four alternativesAmazon RDS, Google Cloud SQL, Neon, PlanetScale
no first choiceagainst: Google Cloud SQL, Oracle Database
GPT-5.4 miniAmazon RDS, Google Cloud SQL
One alternativeAzure Database for PostgreSQL
Google Cloud SQLChanged
Three alternativesAmazon RDS, Amazon RDS for SQL Server, Azure SQL Database
Amazon RDS
Three alternativesAiven for PostgreSQL, Azure SQL Database, Google Cloud SQL
against: Neon
DigitalOcean Managed Databases
Three alternativesAmazon RDS, Neon, Supabase
no first choiceagainst: Managed Microsoft SQL Server, Managed Oracle databases
Gemini 3.5 FlashSupabase
Three alternativesAmazon RDS, DigitalOcean Managed Databases, Neon
SupabaseHeld
Four alternativesAmazon RDS, Azure SQL Database, DigitalOcean Managed Databases, Neon
Neon, Supabase
Five alternativesCrunchy Bridge, DigitalOcean Managed Databases, PlanetScale, Railway, Render Postgres
Neon
Four alternativesDigitalOcean Managed Databases, PlanetScale, Supabase, Turso
against: AWS, Google Cloud SQL
Neon, Supabase
Five alternativesAiven, Amazon RDS, DigitalOcean Managed Databases, Google Cloud SQL, Railway
against: Amazon Aurora, Azure SQL Database Managed Instance, CockroachDB, Google BigQuery, Google Cloud Spanner, Neon, Oracle Autonomous Database, PlanetScale, Snowflake, YugabyteDB Managed
Perplexity SonarGoogle Cloud SQL
Three alternativesAmazon RDS, Azure SQL Database, DigitalOcean Managed Databases
PostgreSQLChanged
Two alternativesAzure SQL Database, Google Cloud SQL
Amazon RDS
Three alternativesAzure SQL Database, Google Cloud SQL, Neon
Amazon RDS for PostgreSQL or MySQL
Two alternativesOVHcloud, PlanetScale Postgres
against: Azure Database for MySQL/PostgreSQL
no first choiceagainst: Amazon RDS, Google Cloud SQL, PlanetScale
Grok 4.1 FastDigitalOcean Managed Databases
Five alternativesAmazon RDS, Azure SQL Database, Google Cloud SQL, Neon, PlanetScale
DigitalOcean Managed DatabasesHeld
One alternativeSupabase
against: Amazon RDS, Google Cloud SQL, Neon
Neon, Supabase
Four alternativesAzure Database for PostgreSQL, Google Cloud SQL, MySQL, PlanetScale
against: Amazon Aurora, Amazon RDS
Neon, Supabase
Two alternativesAmazon RDS, Google Cloud SQL
against: PlanetScale
Amazon RDS, Azure SQL Database, Google Cloud SQLagainst: Amazon Aurora, Amazon RDS, Azure SQL Database, Google Cloud SQL, Oracle Cloud Database, PlanetScale
Mistral SmallAmazon RDS
Two alternativesGoogle Cloud SQL, Neon
no first choiceChangedAmazon RDS, Google Cloud SQL
Five alternativesAzure SQL Database, CockroachDB, DigitalOcean Managed Databases, Linode Managed Databases, PlanetScale
DigitalOcean Managed Databases, Google Cloud SQL
One alternativeNeon
no first choiceagainst: Amazon Aurora, Amazon RDS, PlanetScale
DeepSeek V4 FlashAmazon RDS
One alternativeGoogle Cloud SQL
against: Amazon Aurora Serverless, Azure SQL Database, Neon, Supabase
SupabaseChanged
Three alternativesDigitalOcean Managed DB, Neon, PlanetScale
against: Amazon RDS, Google Cloud SQL
no first choice
Six alternativesAmazon RDS, Azure Database, Google Cloud SQL, Neon, PlanetScale, Supabase
DigitalOcean Managed Databases
Two alternativesNeon, Supabase
against: Amazon RDS, Google Cloud SQL
no first choice
Four alternativesAmazon RDS, Azure Database for PostgreSQL/MySQL, Google Cloud SQL, Neon
against: Amazon Aurora
against: Amazon Aurora, Amazon RDS, Azure SQL Database, Google Cloud SQL, PlanetScale
Llama 4 MaverickAzure SQL Database
Two alternativesAmazon Aurora, Amazon RDS
CloudClusters.io, HostmanChanged
Four alternativesAzure SQL Database, Baserow, Exoscale, Softr Databases
Google Cloud SQL
Two alternativesAmazon RDS, Azure SQL Database
no first choiceno first choiceagainst: Amazon RDS, Google Cloud SQL, PlanetScale
Qwen 3.7 FlashAmazon RDS, Supabase
One alternativeAzure Database for Postgres/SQL
against: AWS EC2, DigitalOcean Managed Databases
Amazon RDS, SupabaseHeld
One alternativeAzure SQL Database
Neon
Three alternativesAmazon Aurora, PlanetScale, Supabase
DigitalOcean Managed Databases, Neon, Supabase
Three alternativesAmazon RDS, Google Cloud SQL, PlanetScale
no first choiceagainst: Amazon Auroraagainst: Amazon Aurora, Azure SQL Managed Instance, CockroachDB, Google Cloud SQL, Google Cloud Spanner, IBM Db2 on Cloud, Oracle Autonomous Database, PlanetScale, SAP HANA
Kimi K2Amazon RDS, Google Cloud SQL
Three alternativesAzure SQL Database, Neon, PlanetScale
Neon, SupabaseChanged
Two alternativesAzure SQL Database, Google Cloud SQL
against: Amazon RDS, PlanetScale
Google Cloud SQL
Seven alternativesAmazon RDS, Azure Database, Azure SQL Database, DigitalOcean Managed Databases, Neon, PlanetScale, Supabase
Neon, Supabase
Three alternativesAmazon RDS, DigitalOcean Managed Databases, Google Cloud SQL
Amazon RDS
Two alternativesAzure SQL Database, Google Cloud SQL
against: Amazon Aurora
against: Amazon Aurora, Amazon RDS, Azure SQL Database, Firebase, IBM Db2, Oracle Database, SAP HANA
GLM 4.7 FlashXAmazon Aurora, Amazon RDS, Google Cloud SQL
Two alternativesAzure Database for PostgreSQL, MySQL
Azure SQL DatabaseChanged
Three alternativesAmazon RDS, DigitalOcean Managed Databases, Hostman SQL Cloud Databases
Amazon RDS
Two alternativesAzure SQL Database, Google Cloud SQL
Neon
One alternativeDigitalOcean Managed Databases
no first choiceagainst: Amazon Aurora, Amazon RDS, Azure SQL Database, Google Cloud SQL, PlanetScale
MiniMax M2.5Amazon RDS, Google Cloud SQL
One alternativeDigitalOcean Managed Databases
DigitalOcean Managed Databases, Google Cloud SQLChangedDigitalOcean Managed Databases
Three alternativesAmazon RDS, Azure SQL Database, Google Cloud SQL
DigitalOcean Managed Databases, Supabase
One alternativeNeon
against: Amazon RDS, Google Cloud SQL
Amazon RDS
Five alternativesAmazon Aurora Serverless, Azure Database for PostgreSQL/MySQL, Google Cloud SQL, Neon, PlanetScale
against: Amazon RDS, Google Cloud SQL, Oracle Database
GPT-6 LunaAmazon RDS
Three alternativesAzure Database for PostgreSQL, Google Cloud SQL, Supabase
against: Amazon Aurora
Amazon RDSHeld
Two alternativesAzure Database for PostgreSQL, Google Cloud SQL
Supabase
Seven alternativesAmazon RDS, Azure Database for PostgreSQL, Crunchy Bridge, DigitalOcean Managed Databases, Google Cloud SQL, Neon, Render Postgres
DigitalOcean Managed Databases
Three alternativesAmazon RDS, Neon, Supabase
no first choiceagainst: Amazon RDS, Azure SQL Database, PlanetScale, Supabase
Muse Glimmer 30BDigitalOcean Managed Databases
Five alternativesAmazon RDS, Azure Database for PostgreSQL, Google Cloud SQL, Northflank, Supabase
Amazon RDSChanged
Four alternativesAmazon Aurora, DigitalOcean Managed Databases, Neon, Supabase
DigitalOcean Managed Databases, Supabase
Four alternativesAmazon Aurora, Amazon RDS, Azure Database for PostgreSQL, Google Cloud SQL / AlloyDB
Supabase
Four alternativesAmazon RDS, DigitalOcean Managed Databases, Neon, Vultr Managed Database
against: PlanetScale
Azure Database for PostgreSQL/MySQL
Two alternativesAmazon RDS, Google Cloud SQL
against: Amazon Aurora
against: Amazon Aurora, Amazon RDS, Google Cloud SQL, PlanetScale
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. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:21no05 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 07:52yes54 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 10:05yes928 s
Direct recommendationPerplexity Sonarsonar2026-10-01 13:39yes174 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:38yes2310 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 12:54yes106 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 07:58yes2536 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 07:45yes51 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:22no031 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:49yes1520 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:33yes2532 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:52yes513 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 08:24yes312 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:27yes1521 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:25no04 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:59yes54 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:57yes920 s
ParaphrasePerplexity Sonarsonar2026-10-01 10:14yes203 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:31yes2413 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 07:46no01 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:31yes1918 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:24yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 07:26yes532 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:19yes2522 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 10:25yes20151 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:40yes1043 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 10:16yes210 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 13:12yes1928 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:01yes1711 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:45yes79 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 07:40yes1558 s
ComparativePerplexity Sonarsonar2026-10-01 08:46yes184 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:40yes2311 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 10:47yes86 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:38yes2541 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:47yes51 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:09yes1038 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:18yes1425 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:36yes2447 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:51yes1528 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 10:53yes616 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:58yes2038 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 07:53yes97 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 07:46no03 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:25yes2326 s
Budget constrainedPerplexity Sonarsonar2026-10-01 08:33yes192 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:27yes246 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 10:21yes134 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:16yes2325 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:05yes51 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:13no031 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:09yes1517 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:05yes2463 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:17yes531 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 11:55yes517 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 13:28yes1531 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 11:41no07 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:18no06 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:15yes726 s
Scale constrainedPerplexity Sonarsonar2026-10-01 11:13yes165 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:56yes1513 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 13:46no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:20yes2444 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:33yes54 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:06no039 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:24yes1525 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:55no010 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:53yes546 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 08:55yes113 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 13:22yes1522 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:33yes1811 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:47yes79 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 12:48yes926 s
Negative framingPerplexity Sonarsonar2026-10-01 10:25yes193 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:05yes248 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 10:21yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:12yes2452 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 07:51yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 11:42yes1766 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:19yes2529 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:25yes2286 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:34yes1946 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 12:32yes517 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:10yes2422 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
AWS RDS/Aurora read as Amazon RDS
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
Linode read as Linode Managed Databases
Render read as Render Postgres
Unresolved, counted raw
AWS Aurora Postgres
Amazon RDS for PostgreSQL or MySQL
Azure Database for Postgres/SQL
Azure SQL Database Managed Instance
CloudClusters.io
Exoscale
Hostman
Hostman SQL Cloud Databases
Managed Microsoft SQL Server
Managed Oracle databases
Microsoft Azure Database
PlanetScale Postgres
PostgreSQL on DigitalOcean/Manual VPS
PostgreSQL or MySQL managed offerings
ScaleGrid
SkySQL
Vultr Managed Database
Discontinued, still offered
No shut-down product was recommended here.
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