Amazon Aurora VS Google Cloud SQL
As of 30 October 2026, Google Cloud SQL is named by 315 companies and Amazon Aurora by 771; Amazon Aurora skews to companies under 200 people (40% vs 43%), Google Cloud SQL to companies over 1,000 (34% vs 32%).
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Amazon Aurora's script and mail records show on hundreds of thousands of small sites, Google Cloud SQL rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Amazon Aurora: 2–200 employees
- 40%
- Google Cloud SQL: 2–200 employees
- 43%
- Amazon Aurora: 1,000+ employees
- 32%
- Google Cloud SQL: 1,000+ employees
- 34%
- Postings per company, 90 days
- 2.4 · 2.2
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Amazon Aurora | share | Google Cloud SQL | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 9 | 1% | 6 | 2% | even |
| 2-10 employees | 54 | 7% | 21 | 7% | even |
| 11-50 employees | 93 | 12% | 42 | 13% | even |
| 51-200 employees | 164 | 21% | 72 | 23% | even |
| 201-500 employees | 118 | 15% | 37 | 12% | Amazon Aurora |
| 501-1000 employees | 86 | 11% | 30 | 10% | even |
| 1001-5000 employees | 122 | 16% | 43 | 14% | Amazon Aurora |
| 5001-10000 employees | 37 | 5% | 18 | 6% | even |
| 10,001+ employees | 88 | 11% | 46 | 15% | Google Cloud SQL |
| Segment | Amazon Aurora | share | Google Cloud SQL | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 399 | 52% | 179 | 57% | Google Cloud SQL |
| Business & finance services | 164 | 21% | 68 | 22% | even |
| Manufacturing & industry | 47 | 6% | 11 | 3% | Amazon Aurora |
| Utilities & infrastructure | 40 | 5% | 3 | 1% | Amazon Aurora |
| Media & content | 29 | 4% | 7 | 2% | even |
| Consumer services & leisure | 23 | 3% | 6 | 2% | even |
| Property & construction | 15 | 2% | – | – | outside top 12 |
| Commerce & trade | 13 | 2% | 14 | 4% | Google Cloud SQL |
| Public, community & associations | 13 | 2% | 4 | 1% | even |
| Transport, logistics & rental | 9 | 1% | 7 | 2% | even |
| Health care | 7 | 1% | 6 | 2% | even |
| Automotive | 6 | 1% | 2 | 1% | even |
| Hospitality & travel | – | – | 5 | 2% | outside top 12 |
| Segment | Amazon Aurora | share | Google Cloud SQL | share | Leans |
|---|---|---|---|---|---|
| United States | 518 | 67% | 208 | 66% | even |
| United Kingdom | 58 | 8% | 17 | 5% | Amazon Aurora |
| Japan | 29 | 4% | 4 | 1% | Amazon Aurora |
| Canada | 21 | 3% | 11 | 3% | even |
| Germany | 17 | 2% | 11 | 3% | even |
| Australia | 15 | 2% | 5 | 2% | even |
| France | 15 | 2% | 10 | 3% | even |
| India | 10 | 1% | 10 | 3% | even |
| Singapore | 8 | 1% | 6 | 2% | even |
| Brazil | 7 | 1% | – | – | outside top 12 |
| Spain | 6 | 1% | 4 | 1% | even |
| Italy | 6 | 1% | 5 | 2% | even |
| Poland | – | – | 6 | 2% | outside top 12 |
| Segment | Amazon Aurora | share | Google Cloud SQL | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,139 | 44% | 364 | 39% | Amazon Aurora |
| IT operations & business systems | 502 | 19% | 226 | 25% | Google Cloud SQL |
| Data & AI | 412 | 16% | 202 | 22% | Google Cloud SQL |
| Engineering (non-software) | 83 | 3% | 3 | 0% | Amazon Aurora |
| Product, program & project management | 36 | 1% | 7 | 1% | even |
| Sales | 24 | 1% | 6 | 1% | even |
| Customer service & success | 15 | 1% | 3 | 0% | even |
| Finance & accounting | 11 | 0% | – | – | outside top 12 |
| Construction and civil | 7 | 0% | 3 | 0% | even |
| Research and science | 6 | 0% | – | – | outside top 12 |
| Unclassified | 6 | 0% | – | – | outside top 12 |
| Administration & office | 5 | 0% | – | – | outside top 12 |
| Business development & strategy | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Amazon Aurora →
Companies using Google Cloud SQL →
relational databases ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Google Cloud SQL is named by 315 companies in job postings and Amazon Aurora by 771; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/amazon-aurora-vs-google-cloud-sql)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Amazon Aurora vs Google Cloud SQL: questions
Which is more used, Amazon Aurora or Google Cloud SQL?
By companies naming it in their own job postings, Amazon Aurora (771) over Google Cloud SQL (315). By website-and-DNS footprint, Google Cloud SQL (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Amazon Aurora?
40% of Amazon Aurora companies have 2 to 200 employees, against 43% for Google Cloud SQL. 32% of Amazon Aurora companies have over 1,000 employees, against 34% for Google Cloud SQL.
Do companies run both?
0 companies name both in their postings, usually Amazon Aurora in marketing and Google Cloud SQL in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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