Azure Functions VS Google Cloud Functions
As of 30 October 2026, Google Cloud Functions is named by 304 companies and Azure Functions by 985; Azure Functions skews to companies under 200 people (34% vs 46%), Google Cloud Functions to companies over 1,000 (31% vs 40%).
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: Azure Functions's script and mail records show on hundreds of thousands of small sites, Google Cloud Functions rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Functions: 2–200 employees
- 34%
- Google Cloud Functions: 2–200 employees
- 46%
- Azure Functions: 1,000+ employees
- 40%
- Google Cloud Functions: 1,000+ employees
- 31%
- Postings per company, 90 days
- 2.9 · 2.4
- 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 | Azure Functions | share | Google Cloud Functions | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 5 | 1% | 6 | 2% | even |
| 2-10 employees | 47 | 5% | 17 | 6% | even |
| 11-50 employees | 116 | 12% | 63 | 21% | Google Cloud Functions |
| 51-200 employees | 170 | 17% | 59 | 19% | Google Cloud Functions |
| 201-500 employees | 150 | 15% | 33 | 11% | Azure Functions |
| 501-1000 employees | 100 | 10% | 31 | 10% | even |
| 1001-5000 employees | 166 | 17% | 40 | 13% | Azure Functions |
| 5001-10000 employees | 58 | 6% | 7 | 2% | Azure Functions |
| 10,001+ employees | 173 | 18% | 48 | 16% | even |
| Segment | Azure Functions | share | Google Cloud Functions | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 447 | 45% | 163 | 54% | Google Cloud Functions |
| Business & finance services | 219 | 22% | 53 | 17% | Azure Functions |
| Manufacturing & industry | 96 | 10% | 17 | 6% | Azure Functions |
| Utilities & infrastructure | 31 | 3% | 10 | 3% | even |
| Property & construction | 29 | 3% | – | – | outside top 12 |
| Commerce & trade | 28 | 3% | 10 | 3% | even |
| Health care | 27 | 3% | 5 | 2% | even |
| Public, community & associations | 25 | 3% | 7 | 2% | even |
| Consumer services & leisure | 24 | 2% | 6 | 2% | even |
| Media & content | 20 | 2% | 19 | 6% | Google Cloud Functions |
| Transport, logistics & rental | 20 | 2% | 4 | 1% | even |
| Automotive | 9 | 1% | 4 | 1% | even |
| Hospitality & travel | – | – | 4 | 1% | outside top 12 |
| Segment | Azure Functions | share | Google Cloud Functions | share | Leans |
|---|---|---|---|---|---|
| United States | 540 | 55% | 181 | 60% | Google Cloud Functions |
| United Kingdom | 91 | 9% | 21 | 7% | Azure Functions |
| Germany | 52 | 5% | 12 | 4% | even |
| Canada | 37 | 4% | 11 | 4% | even |
| India | 33 | 3% | 16 | 5% | even |
| Netherlands | 29 | 3% | – | – | outside top 12 |
| Australia | 27 | 3% | – | – | outside top 12 |
| France | 24 | 2% | 10 | 3% | even |
| Sweden | 19 | 2% | 6 | 2% | even |
| Belgium | 17 | 2% | – | – | outside top 12 |
| Finland | 9 | 1% | – | – | outside top 12 |
| Norway | 8 | 1% | – | – | outside top 12 |
| Brazil | – | – | 6 | 2% | outside top 12 |
| Poland | – | – | 6 | 2% | outside top 12 |
| Spain | – | – | 5 | 2% | outside top 12 |
| Italy | – | – | 4 | 1% | outside top 12 |
| Singapore | – | – | 3 | 1% | outside top 12 |
| Segment | Azure Functions | share | Google Cloud Functions | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,936 | 52% | 437 | 43% | Azure Functions |
| Data & AI | 626 | 17% | 290 | 28% | Google Cloud Functions |
| IT operations & business systems | 589 | 16% | 117 | 11% | Azure Functions |
| Engineering (non-software) | 84 | 2% | 5 | 0% | even |
| Product, program & project management | 16 | 0% | 2 | 0% | even |
| General management & consulting | 14 | 0% | 3 | 0% | even |
| Sales | 11 | 0% | 7 | 1% | even |
| Finance & accounting | 6 | 0% | – | – | outside top 12 |
| Customer service & success | 5 | 0% | 1 | 0% | even |
| Marketing & communications | 4 | 0% | 8 | 1% | even |
| Construction and civil | 3 | 0% | – | – | outside top 12 |
| Hospitality and food service | 3 | 0% | 3 | 0% | even |
| Design & UX | – | – | 1 | 0% | outside top 12 |
| Human resources | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Functions →
Companies using Google Cloud Functions →
paas serverless ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Google Cloud Functions is named by 304 companies in job postings and Azure Functions by 985; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-functions-vs-google-cloud-functions)
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.
Azure Functions vs Google Cloud Functions: questions
Which is more used, Azure Functions or Google Cloud Functions?
By companies naming it in their own job postings, Azure Functions (985) over Google Cloud Functions (304). By website-and-DNS footprint, Google Cloud Functions (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Functions?
34% of Azure Functions companies have 2 to 200 employees, against 46% for Google Cloud Functions. 40% of Azure Functions companies have over 1,000 employees, against 31% for Google Cloud Functions.
Do companies run both?
0 companies name both in their postings, usually Azure Functions in marketing and Google Cloud Functions 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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