Azure Application Insights VS Jaeger
As of 30 October 2026, Jaeger is named by 137 companies and Azure Application Insights by 533; Azure Application Insights skews to companies under 200 people (29% vs 31%), Jaeger to companies over 1,000 (39% vs 45%).
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 Application Insights's script and mail records show on hundreds of thousands of small sites, Jaeger rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Application Insights: 2–200 employees
- 29%
- Jaeger: 2–200 employees
- 31%
- Azure Application Insights: 1,000+ employees
- 45%
- Jaeger: 1,000+ employees
- 39%
- Postings per company, 90 days
- 2.7 · 2.3
- 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 Application Insights | share | Jaeger | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 4 | 1% | 3 | 2% | even |
| 2-10 employees | 18 | 3% | 10 | 7% | Jaeger |
| 11-50 employees | 48 | 9% | 13 | 9% | even |
| 51-200 employees | 91 | 17% | 20 | 15% | Azure Application Insights |
| 201-500 employees | 87 | 16% | 27 | 20% | Jaeger |
| 501-1000 employees | 46 | 9% | 11 | 8% | even |
| 1001-5000 employees | 98 | 18% | 26 | 19% | even |
| 5001-10000 employees | 36 | 7% | 13 | 9% | Jaeger |
| 10,001+ employees | 105 | 20% | 14 | 10% | Azure Application Insights |
| Segment | Azure Application Insights | share | Jaeger | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 242 | 45% | 73 | 53% | Jaeger |
| Business & finance services | 129 | 24% | 32 | 23% | even |
| Manufacturing & industry | 49 | 9% | 12 | 9% | even |
| Commerce & trade | 20 | 4% | 1 | 1% | Azure Application Insights |
| Consumer services & leisure | 14 | 3% | 1 | 1% | even |
| Health care | 13 | 2% | 2 | 1% | even |
| Public, community & associations | 11 | 2% | – | – | outside top 12 |
| Transport, logistics & rental | 11 | 2% | 2 | 1% | even |
| Media & content | 10 | 2% | 2 | 1% | even |
| Utilities & infrastructure | 10 | 2% | 9 | 7% | Jaeger |
| Property & construction | 9 | 2% | 2 | 1% | even |
| Hospitality & travel | 7 | 1% | 1 | 1% | even |
| Segment | Azure Application Insights | share | Jaeger | share | Leans |
|---|---|---|---|---|---|
| United States | 294 | 55% | 87 | 64% | Jaeger |
| United Kingdom | 68 | 13% | 13 | 9% | Azure Application Insights |
| Germany | 25 | 5% | 7 | 5% | even |
| Canada | 19 | 4% | 2 | 1% | Azure Application Insights |
| India | 18 | 3% | 2 | 1% | even |
| Netherlands | 15 | 3% | – | – | outside top 12 |
| Australia | 13 | 2% | 2 | 1% | even |
| France | 12 | 2% | 5 | 4% | even |
| Brazil | 7 | 1% | – | – | outside top 12 |
| Belgium | 6 | 1% | – | – | outside top 12 |
| Spain | 6 | 1% | – | – | outside top 12 |
| Poland | 6 | 1% | 2 | 1% | even |
| Romania | – | – | 2 | 1% | outside top 12 |
| Singapore | – | – | 2 | 1% | outside top 12 |
| TH | – | – | 2 | 1% | outside top 12 |
| United Arab Emirates | – | – | 1 | 1% | outside top 12 |
| Segment | Azure Application Insights | share | Jaeger | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 998 | 57% | 264 | 58% | even |
| IT operations & business systems | 334 | 19% | 33 | 7% | Azure Application Insights |
| Data & AI | 154 | 9% | 7 | 2% | Azure Application Insights |
| Customer service & success | 18 | 1% | 12 | 3% | even |
| Product, program & project management | 14 | 1% | 7 | 2% | even |
| Engineering (non-software) | 11 | 1% | 1 | 0% | even |
| Quality, safety & environment | 6 | 0% | 29 | 6% | Jaeger |
| Marketing & communications | 4 | 0% | – | – | outside top 12 |
| Sales | 4 | 0% | – | – | outside top 12 |
| Administration & office | 1 | 0% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| Construction and civil | 1 | 0% | – | – | outside top 12 |
| Facilities cleaning and security | – | – | 26 | 6% | outside top 12 |
| Skilled trades and field service | – | – | 10 | 2% | outside top 12 |
| Logistics warehouse and transport | – | – | 5 | 1% | outside top 12 |
| Manufacturing and production | – | – | 4 | 1% | outside top 12 |
| Unclassified | – | – | 3 | 1% | outside top 12 |
The companies behind each column
Companies using Azure Application Insights →
Companies using Jaeger →
apm tracing errors ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Jaeger is named by 137 companies in job postings and Azure Application Insights by 533; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-application-insights-vs-jaeger)
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 Application Insights vs Jaeger: questions
Which is more used, Azure Application Insights or Jaeger?
By companies naming it in their own job postings, Azure Application Insights (533) over Jaeger (137). By website-and-DNS footprint, Jaeger (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Application Insights?
29% of Azure Application Insights companies have 2 to 200 employees, against 31% for Jaeger. 45% of Azure Application Insights companies have over 1,000 employees, against 39% for Jaeger.
Do companies run both?
0 companies name both in their postings, usually Azure Application Insights in marketing and Jaeger 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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