Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEAzure Log Analytics VS Kibana_
As of 4 November 2026, Kibana is named by 875 companies and Azure Log Analytics by 536; Azure Log Analytics skews to companies under 200 people (28% vs 39%), Kibana to companies over 1,000 (35% vs 43%).
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 Log Analytics's script and mail records show on hundreds of thousands of small sites, Kibana 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%
- Kibana: 2–200 employees
- 39%
- Azure Log Analytics: 1,000+ employees
- 43%
- Kibana: 1,000+ employees
- 35%
- Postings per company, 90 days
- 2.6 · 2.7
- 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 | Kibana | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 9 | 2% | 25 | 3% | even |
| 2-10 employees | 15 | 3% | 45 | 5% | Kibana |
| 11-50 employees | 44 | 8% | 117 | 13% | Kibana |
| 51-200 employees | 92 | 17% | 183 | 21% | Kibana |
| 201-500 employees | 83 | 15% | 116 | 13% | Azure Log Analytics |
| 501-1000 employees | 62 | 12% | 86 | 10% | even |
| 1001-5000 employees | 101 | 19% | 148 | 17% | even |
| 5001-10000 employees | 40 | 7% | 41 | 5% | Azure Log Analytics |
| 10,001+ employees | 90 | 17% | 114 | 13% | Azure Log Analytics |
| Segment | Azure Log Analytics | share | Kibana | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 219 | 41% | 474 | 54% | Kibana |
| Business & finance services | 133 | 25% | 179 | 20% | Azure Log Analytics |
| Manufacturing & industry | 49 | 9% | 58 | 7% | Azure Log Analytics |
| Utilities & infrastructure | 23 | 4% | 32 | 4% | even |
| Commerce & trade | 21 | 4% | 19 | 2% | even |
| Consumer services & leisure | 15 | 3% | 19 | 2% | even |
| Media & content | 15 | 3% | 38 | 4% | even |
| Public, community & associations | 14 | 3% | 21 | 2% | even |
| Property & construction | 13 | 2% | 5 | 1% | even |
| Transport, logistics & rental | 13 | 2% | 14 | 2% | even |
| Health care | 12 | 2% | – | – | outside top 12 |
| Automotive | 4 | 1% | 4 | 0% | even |
| Hospitality & travel | – | – | 9 | 1% | outside top 12 |
| Segment | Azure Log Analytics | share | Kibana | share | Leans |
|---|---|---|---|---|---|
| United States | 291 | 54% | 493 | 56% | Kibana |
| United Kingdom | 42 | 8% | 57 | 7% | even |
| Canada | 26 | 5% | 20 | 2% | Azure Log Analytics |
| Germany | 26 | 5% | 36 | 4% | even |
| India | 16 | 3% | 29 | 3% | even |
| Netherlands | 13 | 2% | 11 | 1% | even |
| France | 12 | 2% | 51 | 6% | Kibana |
| Spain | 11 | 2% | 9 | 1% | even |
| Australia | 8 | 1% | – | – | outside top 12 |
| Brazil | 5 | 1% | 17 | 2% | even |
| Singapore | 5 | 1% | 12 | 1% | even |
| Belgium | 4 | 1% | – | – | outside top 12 |
| Poland | – | – | 14 | 2% | outside top 12 |
| Sweden | – | – | 11 | 1% | outside top 12 |
| Segment | Azure Log Analytics | share | Kibana | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 750 | 44% | 508 | 16% | Azure Log Analytics |
| Software engineering | 522 | 31% | 1,668 | 52% | Kibana |
| Data & AI | 136 | 8% | 223 | 7% | even |
| Sales | 46 | 3% | 22 | 1% | Azure Log Analytics |
| Engineering (non-software) | 29 | 2% | 85 | 3% | even |
| Customer service & success | 16 | 1% | 126 | 4% | Kibana |
| Product, program & project management | 7 | 0% | 25 | 1% | even |
| Quality, safety & environment | 3 | 0% | 11 | 0% | even |
| Unclassified | 3 | 0% | 3 | 0% | even |
| Administration & office | 2 | 0% | 4 | 0% | even |
| General management & consulting | 2 | 0% | 5 | 0% | even |
| Business development & strategy | 1 | 0% | 1 | 0% | even |
| construction and civil | 1 | 0% | 2 | 0% | even |
| facilities cleaning and security | 1 | 0% | 1 | 0% | even |
| Finance & accounting | 1 | 0% | 3 | 0% | even |
| hospitality and food service | 1 | 0% | – | – | outside top 12 |
| Human resources | 1 | 0% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | 4 | 0% | even |
| skilled trades and field service | 1 | 0% | 1 | 0% | even |
| Legal, compliance & risk | – | – | 7 | 0% | outside top 12 |
| public safety and protective services | – | – | 6 | 0% | outside top 12 |
| logistics warehouse and transport | – | – | 3 | 0% | outside top 12 |
| arts media and entertainment | – | – | 1 | 0% | outside top 12 |
| Design & UX | – | – | 1 | 0% | outside top 12 |
| manufacturing and production | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Log Analytics →
Companies using Kibana →
log management ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Kibana is named by 875 companies in job postings and Azure Log Analytics by 536; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/azure-log-analytics-vs-kibana)
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 Kibana: questions
Which is more used, Azure Log Analytics or Kibana?
By companies naming it in their own job postings, Kibana (875) over Azure Log Analytics (536). By website-and-DNS footprint, Kibana (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 39% for Kibana. 43% of Azure Log Analytics companies have over 1,000 employees, against 35% for Kibana.
Do companies run both?
0 companies name both in their postings, usually Azure Log Analytics in marketing and Kibana 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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