Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEAzure Monitor VS Nagios_
As of 4 November 2026, Nagios is named by 633 companies and Azure Monitor by 982; Azure Monitor skews to companies under 200 people (28% vs 46%), Nagios to companies over 1,000 (29% vs 46%).
As of 4 November 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 Monitor's script and mail records show on hundreds of thousands of small sites, Nagios rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Monitor: 2–200 employees
- 28%
- Nagios: 2–200 employees
- 46%
- Azure Monitor: 1,000+ employees
- 46%
- Nagios: 1,000+ employees
- 29%
- Postings per company, 90 days
- 2.7 · 2.1
- 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 Monitor | share | Nagios | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 8 | 1% | 14 | 2% | even |
| 2-10 employees | 49 | 5% | 30 | 5% | even |
| 11-50 employees | 81 | 8% | 105 | 17% | Nagios |
| 51-200 employees | 147 | 15% | 156 | 25% | Nagios |
| 201-500 employees | 144 | 15% | 87 | 14% | even |
| 501-1000 employees | 105 | 11% | 60 | 9% | even |
| 1001-5000 employees | 195 | 20% | 99 | 16% | Azure Monitor |
| 5001-10000 employees | 83 | 8% | 25 | 4% | Azure Monitor |
| 10,001+ employees | 170 | 17% | 57 | 9% | Azure Monitor |
| Segment | Azure Monitor | share | Nagios | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 405 | 41% | 346 | 55% | Nagios |
| Business & finance services | 232 | 24% | 113 | 18% | Azure Monitor |
| Manufacturing & industry | 100 | 10% | 39 | 6% | Azure Monitor |
| Commerce & trade | 43 | 4% | 14 | 2% | Azure Monitor |
| Utilities & infrastructure | 38 | 4% | 30 | 5% | even |
| Consumer services & leisure | 34 | 3% | 22 | 3% | even |
| Health care | 26 | 3% | 8 | 1% | even |
| Public, community & associations | 23 | 2% | 18 | 3% | even |
| Property & construction | 22 | 2% | 8 | 1% | even |
| Transport, logistics & rental | 20 | 2% | 10 | 2% | even |
| Media & content | 19 | 2% | 17 | 3% | even |
| Hospitality & travel | 11 | 1% | – | – | outside top 12 |
| Automotive | – | – | 4 | 1% | outside top 12 |
| Segment | Azure Monitor | share | Nagios | share | Leans |
|---|---|---|---|---|---|
| United States | 551 | 56% | 332 | 52% | Azure Monitor |
| United Kingdom | 91 | 9% | 37 | 6% | Azure Monitor |
| Canada | 44 | 4% | 16 | 3% | even |
| Germany | 39 | 4% | 31 | 5% | even |
| India | 32 | 3% | 28 | 4% | even |
| Netherlands | 19 | 2% | 8 | 1% | even |
| Australia | 17 | 2% | 7 | 1% | even |
| France | 15 | 2% | 42 | 7% | Nagios |
| Brazil | 12 | 1% | 9 | 1% | even |
| Switzerland | 12 | 1% | – | – | outside top 12 |
| Singapore | 11 | 1% | – | – | outside top 12 |
| Spain | 9 | 1% | 13 | 2% | even |
| Italy | – | – | 13 | 2% | outside top 12 |
| Poland | – | – | 6 | 1% | outside top 12 |
| Segment | Azure Monitor | share | Nagios | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,144 | 36% | 388 | 20% | Azure Monitor |
| IT operations & business systems | 1,119 | 35% | 1,047 | 53% | Nagios |
| Data & AI | 364 | 12% | 14 | 1% | Azure Monitor |
| Engineering (non-software) | 46 | 1% | 51 | 3% | even |
| Customer service & success | 26 | 1% | 23 | 1% | even |
| Product, program & project management | 23 | 1% | 18 | 1% | even |
| Sales | 15 | 0% | 17 | 1% | even |
| Quality, safety & environment | 9 | 0% | 1 | 0% | even |
| Administration & office | 5 | 0% | 5 | 0% | even |
| General management & consulting | 5 | 0% | 60 | 3% | Nagios |
| construction and civil | 3 | 0% | – | – | outside top 12 |
| Human resources | 2 | 0% | – | – | outside top 12 |
| Marketing & communications | 2 | 0% | 2 | 0% | even |
| public safety and protective services | 2 | 0% | – | – | outside top 12 |
| skilled trades and field service | 2 | 0% | 20 | 1% | even |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| Finance & accounting | 1 | 0% | – | – | outside top 12 |
| hospitality and food service | 1 | 0% | – | – | outside top 12 |
| Unclassified | 1 | 0% | 3 | 0% | even |
| arts media and entertainment | – | – | 2 | 0% | outside top 12 |
| Education & training | – | – | 1 | 0% | outside top 12 |
| logistics warehouse and transport | – | – | 1 | 0% | outside top 12 |
| social care and community | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Monitor →
Companies using Nagios →
metrics monitoring ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Nagios is named by 633 companies in job postings and Azure Monitor by 982; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/azure-monitor-vs-nagios)
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 Monitor vs Nagios: questions
Which is more used, Azure Monitor or Nagios?
By companies naming it in their own job postings, Azure Monitor (982) over Nagios (633). By website-and-DNS footprint, Nagios (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Monitor?
28% of Azure Monitor companies have 2 to 200 employees, against 46% for Nagios. 46% of Azure Monitor companies have over 1,000 employees, against 29% for Nagios.
Do companies run both?
0 companies name both in their postings, usually Azure Monitor in marketing and Nagios 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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