Managed relational databases · November 2026 Edition
Azure SQL Database vs Google Cloud SQL
Zero of fourteen models named Azure SQL Database first on the direct prompt; two named Google Cloud SQL. Both were named by all fourteen models and Azure SQL Database carries 59 labels and Google Cloud SQL 73, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
First-choice share9%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate17%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 11; printed, not drawn.
Labels5973A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Azure SQL Database reading right to left. Rank and label count are printed, not drawn.Amazon RDS was named alongside these two in thirteen of the fourteen direct answers. Amazon RDS vs Azure SQL Database · Amazon RDS vs Google Cloud SQL · Azure SQL Database vs Amazon Aurora
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.
Azure SQL DatabaseFirst choices, of fourteen modelsGoogle Cloud SQL
Direct02
Paraphrase50
Comparative11
Budget-constrained023 against Google Cloud SQL
Scale-constrained00
Negative0010 against Azure SQL Database · 9 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 November 2026 Edition, Azure SQL Database and Google Cloud SQL were named in the same answer 142 times, of the 164 answers naming Azure SQL Database and the 192 naming Google Cloud SQL. In those answers Google Cloud SQL took the first choice seven times and Azure SQL Database thirteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Azure SQL Database and Google Cloud SQL 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 | | | | |
Azure SQL Database Google Cloud SQL first choice named as an alternative argued againstblank: not namedEach cell is one answer, Azure SQL Database on the left and Google Cloud SQL on the right.The direct prompt
The plain question, one answer per model, grouped by where Azure SQL Database and Google Cloud SQL stood in it.
Google Cloud SQL first, Azure SQL Database an alternative
2 of 14 modelsAzure SQL Database was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Amazon RDS, Google Cloud SQL alternatives: Azure SQL Database
Grok 4.20Google Cloud SQL alternatives: Amazon RDS, Azure SQL Database
Neither was the first choice, one was named
12 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniAmazon RDS alternatives: Amazon Aurora, Azure SQL Database
Gemini 3.5 FlashAmazon Aurora alternatives: AlloyDB for PostgreSQL, Azure SQL Database, CockroachDB Cloud, Google Cloud SQL, Neon, Supabase
Perplexity SonarAmazon RDS alternatives: Amazon Aurora, Azure SQL Database, CockroachDB, Google Cloud SQL, Supabase
Mistral SmallAmazon RDS alternatives: Amazon Aurora, Google Cloud SQL
DeepSeek V4 FlashAmazon RDS alternatives: Amazon Aurora, Azure SQL Database, Google Cloud SQL
Llama 4 MaverickAmazon RDS alternatives: Amazon Aurora, Google Cloud SQL
Qwen 3.7 FlashAmazon RDS alternatives: Azure SQL Database, Google Cloud SQL
Kimi K2Amazon RDS alternatives: Azure SQL Database, Google Cloud SQL
GLM 4.7 FlashXAmazon RDS alternatives: Azure SQL Database, Google Cloud SQL
MiniMax M2.5Amazon RDS alternatives: Amazon Aurora, Azure SQL Database, Google Cloud SQL
GPT-6 LunaAmazon RDS alternatives: Amazon Aurora, Azure SQL Database, Google Cloud SQL
Muse Glimmer 30BAmazon RDS alternatives: Amazon Aurora, Azure SQL Database, Google Cloud SQL
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
Google Cloud SQL leads by two points.
Google Cloud SQL5%#5 of 8Azure SQL Database3%#7 of 8Mid-marketThe figures above
The order flips: Azure SQL Database leads at mid-market.
Azure SQL Database9%#2 of 11Google Cloud SQL8%#3 of 11Enterprise
Azure SQL Database leads by eight points.
Azure SQL Database16%#3 of 8Google Cloud SQL8%#4 of 8What the models said about Azure SQL Database
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“frequent 60‑second storage stalls, IOPS throttling, memory‑to‑core mismatches” GLM 4.7 FlashX · negative prompt · hard negative
“Also shows a high negative share (20% negative labels)” Mistral Small · negative prompt · hard negative
“Azure SQL Database, while generally robust, has resource caps and licensing implications that require careful planning” Muse Glimmer 30B · negative prompt · soft negative
“Start with Azure SQL Database if you're Microsoft-centric — it offers the best integration and cost optimization for predictable workloads.” Kimi K2 · paraphrase prompt · first choice
“Azure SQL Database provides managed SQL Server capabilities across Azure with usage-based pricing and a free tier available.” Claude Haiku 4.5 · comparative prompt · first choice
“The Overall Leader: Amazon RDS / Aurora ... or Azure SQL Database, depending on your existing technology stack” Qwen 3.7 Flash · paraphrase 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.
“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 · hard negative
“Why avoid the "Big Three" (AWS, Azure, Google)?” Qwen 3.7 Flash · budget prompt · hard negative
“Cloud SQL is primarily designed for single-zone or cross-replication setups within a region. It lacks native, synchronous horizontal scaling” Qwen 3.7 Flash · negative prompt · soft negative
“Google Cloud SQL (particularly its Enterprise Plus edition for PostgreSQL) stands out as the best managed relational database service for most mid-market B2B companies” Grok 4.20 · direct prompt · first choice
“Supabase (PostgreSQL) and Google Cloud SQL (PostgreSQL or MySQL) are your best bets” GLM 4.7 FlashX · budget prompt · first choice
“Google Cloud SQL keeps things centralized for those already invested in Google's ecosystem” Claude Haiku 4.5 · comparative prompt · first choice
Also compared
Amazon RDS vs Azure SQL DatabaseAmazon RDS 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 NeonAll twenty-one head-to-head pages and the full managed databases 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.