Azure Log Analytics VS Elastic Stack
As of 30 October 2026, Elastic Stack is named by 180 companies and Azure Log Analytics by 400; Azure Log Analytics skews to companies under 200 people (28% vs 36%), Elastic Stack to companies over 1,000 (38% 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 Log Analytics's script and mail records show on hundreds of thousands of small sites, Elastic Stack rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Log Analytics: 2–200 employees
- 28%
- Elastic Stack: 2–200 employees
- 36%
- Azure Log Analytics: 1,000+ employees
- 45%
- Elastic Stack: 1,000+ employees
- 38%
- Postings per company, 90 days
- 2.9 · 4.1
- 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 Log Analytics | share | Elastic Stack | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 4 | 1% | 1 | 1% | even |
| 2-10 employees | 8 | 2% | 7 | 4% | even |
| 11-50 employees | 31 | 8% | 20 | 11% | Elastic Stack |
| 51-200 employees | 72 | 18% | 37 | 21% | Elastic Stack |
| 201-500 employees | 64 | 16% | 27 | 15% | even |
| 501-1000 employees | 42 | 11% | 20 | 11% | even |
| 1001-5000 employees | 79 | 20% | 33 | 18% | even |
| 5001-10000 employees | 28 | 7% | 14 | 8% | even |
| 10,001+ employees | 72 | 18% | 21 | 12% | Azure Log Analytics |
| Segment | Azure Log Analytics | share | Elastic Stack | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 168 | 42% | 100 | 56% | Elastic Stack |
| Business & finance services | 101 | 25% | 34 | 19% | Azure Log Analytics |
| Manufacturing & industry | 38 | 10% | 17 | 9% | even |
| Commerce & trade | 14 | 4% | 2 | 1% | Azure Log Analytics |
| Utilities & infrastructure | 13 | 3% | 10 | 6% | Elastic Stack |
| Health care | 12 | 3% | 1 | 1% | Azure Log Analytics |
| Property & construction | 11 | 3% | 2 | 1% | even |
| Media & content | 10 | 3% | 3 | 2% | even |
| Public, community & associations | 9 | 2% | 7 | 4% | even |
| Consumer services & leisure | 9 | 2% | – | – | outside top 12 |
| Transport, logistics & rental | 8 | 2% | 3 | 2% | even |
| Hospitality & travel | 4 | 1% | – | – | outside top 12 |
| Automotive | – | – | 1 | 1% | outside top 12 |
| Segment | Azure Log Analytics | share | Elastic Stack | share | Leans |
|---|---|---|---|---|---|
| United States | 222 | 56% | 86 | 48% | Azure Log Analytics |
| United Kingdom | 32 | 8% | 15 | 8% | even |
| Germany | 23 | 6% | 20 | 11% | Elastic Stack |
| Canada | 22 | 6% | 3 | 2% | Azure Log Analytics |
| India | 13 | 3% | – | – | outside top 12 |
| France | 11 | 3% | 10 | 6% | Elastic Stack |
| Netherlands | 11 | 3% | 6 | 3% | even |
| Spain | 9 | 2% | 3 | 2% | even |
| Australia | 6 | 2% | – | – | outside top 12 |
| Italy | 4 | 1% | – | – | outside top 12 |
| United Arab Emirates | 3 | 1% | – | – | outside top 12 |
| Belgium | 3 | 1% | 2 | 1% | even |
| Brazil | – | – | 6 | 3% | outside top 12 |
| Switzerland | – | – | 6 | 3% | outside top 12 |
| Singapore | – | – | 3 | 2% | outside top 12 |
| Ireland | – | – | 2 | 1% | outside top 12 |
| Segment | Azure Log Analytics | share | Elastic Stack | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 630 | 44% | 193 | 22% | Azure Log Analytics |
| Software engineering | 421 | 30% | 374 | 42% | Elastic Stack |
| Data & AI | 115 | 8% | 72 | 8% | even |
| Sales | 40 | 3% | 16 | 2% | even |
| Engineering (non-software) | 27 | 2% | 26 | 3% | even |
| Customer service & success | 8 | 1% | 9 | 1% | even |
| Product, program & project management | 8 | 1% | 32 | 4% | Elastic Stack |
| Administration & office | 2 | 0% | – | – | outside top 12 |
| General management & consulting | 2 | 0% | 2 | 0% | even |
| Quality, safety & environment | 2 | 0% | 1 | 0% | even |
| Unclassified | 2 | 0% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | – | – | outside top 12 |
| Education & training | – | – | 3 | 0% | outside top 12 |
| Legal, compliance & risk | – | – | 3 | 0% | outside top 12 |
| Human resources | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Log Analytics →
Companies using Elastic Stack →
log management ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Elastic Stack is named by 180 companies in job postings and Azure Log Analytics by 400; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-log-analytics-vs-elastic-stack)
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 Log Analytics vs Elastic Stack: questions
Which is more used, Azure Log Analytics or Elastic Stack?
By companies naming it in their own job postings, Azure Log Analytics (400) over Elastic Stack (180). By website-and-DNS footprint, Elastic Stack (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Log Analytics?
28% of Azure Log Analytics companies have 2 to 200 employees, against 36% for Elastic Stack. 45% of Azure Log Analytics companies have over 1,000 employees, against 38% for Elastic Stack.
Do companies run both?
0 companies name both in their postings, usually Azure Log Analytics in marketing and Elastic Stack 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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