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Managed relational databases · October 2026 Edition

Amazon RDS vs Google Cloud SQL

Ten of fourteen models named Amazon RDS first on the direct prompt; two named Google Cloud SQL. Both were named by all fourteen models and Amazon RDS carries 70 labels and Google Cloud SQL 66, so the shares are not directly comparable.

Amazon RDS

endorsed leader

Named in two categories this edition.

Google Cloud SQL

accepted challenger

Named in one category this edition.

First-choice share45%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 9; printed, not drawn.
Labels7066A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Amazon RDS reading right to left. Rank and label count are printed, not drawn.Azure SQL Database was named alongside these two in nine of the fourteen direct answers. Amazon RDS vs Amazon Aurora · Amazon RDS vs Neon · Amazon RDS vs DigitalOcean Managed Databases

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 managed relational databases page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Amazon RDSFirst choices, of fourteen modelsGoogle Cloud SQL
Direct102
Paraphrase112
Comparative81
Budget-constrained215 against Amazon RDS · 1 against Google Cloud SQL
Scale-constrained31
Negative0011 against Amazon RDS · 7 against Google Cloud SQL
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 October 2026 Edition, Amazon RDS and Google Cloud SQL were named in the same answer 161 times, of the 189 answers naming Amazon RDS and the 186 naming Google Cloud SQL. In those answers Google Cloud SQL took the first choice nine times and Amazon RDS fifty-one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Amazon RDS and Google Cloud SQL stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Amazon RDS Google Cloud SQL first choice named as an alternative argued againstblank: not namedEach cell is one answer, Amazon RDS on the left and Google Cloud SQL on the right.

The direct prompt

The plain question, one answer per model, grouped by where Amazon RDS and Google Cloud SQL stood in it.

Amazon RDS first, Google Cloud SQL an alternative

10 of 14 modelsGoogle Cloud SQL was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Amazon RDS alternatives: Azure SQL Database
GPT-5.4 miniAmazon Aurora, Amazon RDS alternatives: Azure Database for PostgreSQL, Azure SQL Database, Google Cloud SQL
Perplexity SonarAmazon RDS alternatives: Azure SQL Database, Google Cloud SQL
DeepSeek V4 FlashAmazon RDS alternatives: Azure SQL Database, Google Cloud SQL
Llama 4 MaverickAmazon Aurora, Amazon RDS alternatives: Ntirety, Rackspace Technology
Qwen 3.7 FlashAmazon RDS alternatives: Azure Database for SQL Server / PostgreSQL, Neon, Vercel Postgres
Kimi K2Amazon RDS alternatives: Amazon Aurora, Azure SQL Database, Google Cloud SQL, Neon
MiniMax M2.5Amazon RDS alternatives: Amazon Aurora, DigitalOcean Managed Databases, Google Cloud SQL
GPT-6 LunaAmazon RDS alternatives: Amazon Aurora, Azure Database for PostgreSQL, Google Cloud SQL
Muse Glimmer 30BAmazon RDS alternatives: Amazon Aurora, Azure SQL Database, Google Cloud SQL

Google Cloud SQL first, Amazon RDS an alternative

2 of 14 modelsAmazon RDS was named in the answer but not as the choice, or not at all.
Grok 4.20Google Cloud SQL alternatives: Aiven, Amazon RDS, Azure SQL Database, DigitalOcean Managed Databases
GLM 4.7 FlashXGoogle Cloud SQL alternatives: Amazon RDS, Azure Database

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallAmazon Aurora alternatives: Azure SQL Database, Google Cloud SQL

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashAmazon Aurora alternatives: Aiven, AlloyDB for PostgreSQL, Azure SQL Database, Neon

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
Amazon RDS leads by seven points.
Amazon RDS24%#1 of 8
Google Cloud SQL16%#3 of 8
The full small business standing →
Mid-marketThe figures above
Amazon RDS leads by thirty-four points.
Amazon RDS45%#1 of 9
Google Cloud SQL10%#3 of 9
The full mid-market standing →
Enterprise
Amazon RDS leads by eleven points.
Amazon RDS20%#3 of 8
Google Cloud SQL9%#4 of 8
The full enterprise standing →

What the models said about Amazon RDS

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Some models explicitly recommend avoiding RDS for production core systems unless absolutely necessary.” Mistral Small · negative prompt · hard negative
“are cautious with AWS RDS SQL Server for point-in-time restore expectations and with any RDS engine for globally distributed strong-consistency writes” Muse Glimmer 30B · negative prompt · soft negative
“It is widely used and legitimate, but multiple sources note that it can carry premium instance pricing, hidden ancillary costs” Perplexity Sonar · negative prompt · soft negative
“Amazon RDS, for example, supports MySQL, PostgreSQL, MariaDB, SQL Server, Oracle, and Amazon Aurora, and automates provisioning, patching, backups, and failover.” Llama 4 Maverick · comparative prompt · first choice
“Pick AWS RDS/Aurora for broadest engine breadth and ecosystem maturity, and for cloud-native Aurora performance with MySQL/PostgreSQL compatibility.” Muse Glimmer 30B · comparative prompt · first choice
“The top managed relational database services are Amazon RDS, Google Cloud SQL, Azure SQL Database, and Oracle Autonomous Database” Perplexity Sonar · comparative prompt · first choice

What the models said about Google Cloud SQL

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“extended support is paid, and Cloud SQL automatically enrolls EOL-version instances. Check the exact engine version and upgrade dates before committing.” GPT-6 Luna · negative prompt · soft negative
“it has the same class of cautions as other DBaaS offerings: you should check pricing, scaling model, maintenance control...” Perplexity Sonar · negative prompt · soft negative
“Less ideal for global/multi-region strong consistency writes.<br>- Scaling not as elastic for extreme loads.” Grok 4.20 · negative prompt · soft negative
“I'd recommend considering Amazon RDS (Relational Database Service) or Google Cloud SQL as your primary options” GLM 4.7 FlashX · paraphrase prompt · first choice
“The top managed relational database services are Amazon RDS, Google Cloud SQL, Azure SQL Database” Perplexity Sonar · comparative prompt · first choice
“Amazon RDS or Google Cloud SQL offer the best balance of features, scalability, and reliability” Claude Haiku 4.5 · paraphrase prompt · first choice
Also compared

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.