AWS CloudTrail VS Azure Log Analytics_
As of 4 November 2026, Azure Log Analytics is named by 536 companies and AWS CloudTrail by 482; AWS CloudTrail skews to companies under 200 people (44% vs 28%), Azure Log Analytics to companies over 1,000 (43% vs 33%).
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: AWS CloudTrail's script and mail records show on hundreds of thousands of small sites, Azure Log Analytics rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- AWS CloudTrail: 2–200 employees
- 44%
- Azure Log Analytics: 2–200 employees
- 28%
- AWS CloudTrail: 1,000+ employees
- 33%
- Azure Log Analytics: 1,000+ employees
- 43%
- Postings per company, 90 days
- 2.0 · 2.6
- 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 | AWS CloudTrail | share | Azure Log Analytics | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 9 | 2% | 9 | 2% | even |
| 2-10 employees | 33 | 7% | 15 | 3% | AWS CloudTrail |
| 11-50 employees | 72 | 15% | 44 | 8% | AWS CloudTrail |
| 51-200 employees | 107 | 22% | 92 | 17% | AWS CloudTrail |
| 201-500 employees | 63 | 13% | 83 | 15% | Azure Log Analytics |
| 501-1000 employees | 40 | 8% | 62 | 12% | Azure Log Analytics |
| 1001-5000 employees | 81 | 17% | 101 | 19% | Azure Log Analytics |
| 5001-10000 employees | 25 | 5% | 40 | 7% | Azure Log Analytics |
| 10,001+ employees | 52 | 11% | 90 | 17% | Azure Log Analytics |
| Segment | AWS CloudTrail | share | Azure Log Analytics | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 237 | 49% | 219 | 41% | AWS CloudTrail |
| Business & finance services | 116 | 24% | 133 | 25% | even |
| Manufacturing & industry | 37 | 8% | 49 | 9% | even |
| Consumer services & leisure | 21 | 4% | 15 | 3% | even |
| Media & content | 21 | 4% | 15 | 3% | even |
| Health care | 13 | 3% | 12 | 2% | even |
| Utilities & infrastructure | 13 | 3% | 23 | 4% | even |
| Public, community & associations | 8 | 2% | 14 | 3% | even |
| Commerce & trade | 5 | 1% | 21 | 4% | Azure Log Analytics |
| Property & construction | 4 | 1% | 13 | 2% | even |
| Transport, logistics & rental | 3 | 1% | 13 | 2% | even |
| Automotive | 2 | 0% | 4 | 1% | even |
| Segment | AWS CloudTrail | share | Azure Log Analytics | share | Leans |
|---|---|---|---|---|---|
| United States | 348 | 72% | 291 | 54% | AWS CloudTrail |
| United Kingdom | 26 | 5% | 42 | 8% | Azure Log Analytics |
| India | 15 | 3% | 16 | 3% | even |
| Canada | 9 | 2% | 26 | 5% | Azure Log Analytics |
| Singapore | 9 | 2% | 5 | 1% | even |
| Brazil | 6 | 1% | 5 | 1% | even |
| Germany | 6 | 1% | 26 | 5% | Azure Log Analytics |
| Australia | 5 | 1% | 8 | 1% | even |
| Spain | 5 | 1% | 11 | 2% | even |
| France | 3 | 1% | 12 | 2% | even |
| Japan | 3 | 1% | – | – | outside top 12 |
| Netherlands | 3 | 1% | 13 | 2% | even |
| Belgium | – | – | 4 | 1% | outside top 12 |
| Segment | AWS CloudTrail | share | Azure Log Analytics | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 713 | 57% | 750 | 44% | AWS CloudTrail |
| Software engineering | 296 | 24% | 522 | 31% | Azure Log Analytics |
| Data & AI | 96 | 8% | 136 | 8% | even |
| Product, program & project management | 9 | 1% | 7 | 0% | even |
| Engineering (non-software) | 7 | 1% | 29 | 2% | even |
| Education & training | 5 | 0% | – | – | outside top 12 |
| Sales | 4 | 0% | 46 | 3% | Azure Log Analytics |
| Administration & office | 2 | 0% | 2 | 0% | even |
| Marketing & communications | 2 | 0% | 1 | 0% | even |
| Customer service & success | 1 | 0% | 16 | 1% | even |
| facilities cleaning and security | 1 | 0% | 1 | 0% | even |
| General management & consulting | 1 | 0% | 2 | 0% | even |
| Legal, compliance & risk | 1 | 0% | – | – | outside top 12 |
| Quality, safety & environment | – | – | 3 | 0% | outside top 12 |
| Unclassified | – | – | 3 | 0% | outside top 12 |
| Business development & strategy | – | – | 1 | 0% | outside top 12 |
| construction and civil | – | – | 1 | 0% | outside top 12 |
| Finance & accounting | – | – | 1 | 0% | outside top 12 |
| hospitality and food service | – | – | 1 | 0% | outside top 12 |
| Human resources | – | – | 1 | 0% | outside top 12 |
| skilled trades and field service | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using AWS CloudTrail →
Companies using Azure Log Analytics →
log management ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Azure Log Analytics is named by 536 companies in job postings and AWS CloudTrail by 482; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/aws-cloudtrail-vs-azure-log-analytics)
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.
AWS CloudTrail vs Azure Log Analytics: questions
Which is more used, AWS CloudTrail or Azure Log Analytics?
By companies naming it in their own job postings, Azure Log Analytics (536) over AWS CloudTrail (482). By website-and-DNS footprint, Azure Log Analytics (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses AWS CloudTrail?
44% of AWS CloudTrail companies have 2 to 200 employees, against 28% for Azure Log Analytics. 33% of AWS CloudTrail companies have over 1,000 employees, against 43% for Azure Log Analytics.
Do companies run both?
0 companies name both in their postings, usually AWS CloudTrail in marketing and Azure Log Analytics 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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