Azure Data Lake Storage VS Microsoft DFS
As of 30 October 2026, Microsoft DFS is named by 136 companies and Azure Data Lake Storage by 628; Azure Data Lake Storage skews to companies under 200 people (31% vs 38%), Microsoft DFS to companies over 1,000 (36% vs 47%).
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 Data Lake Storage's script and mail records show on hundreds of thousands of small sites, Microsoft DFS rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Data Lake Storage: 2–200 employees
- 31%
- Microsoft DFS: 2–200 employees
- 38%
- Azure Data Lake Storage: 1,000+ employees
- 47%
- Microsoft DFS: 1,000+ employees
- 36%
- Postings per company, 90 days
- 3.2 · 2.4
- 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 Data Lake Storage | share | Microsoft DFS | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 7 | 1% | 1 | 1% | even |
| 2-10 employees | 27 | 4% | 5 | 4% | even |
| 11-50 employees | 61 | 10% | 25 | 18% | Microsoft DFS |
| 51-200 employees | 107 | 17% | 22 | 16% | even |
| 201-500 employees | 65 | 10% | 19 | 14% | Microsoft DFS |
| 501-1000 employees | 64 | 10% | 15 | 11% | even |
| 1001-5000 employees | 115 | 18% | 22 | 16% | Azure Data Lake Storage |
| 5001-10000 employees | 61 | 10% | 12 | 9% | even |
| 10,001+ employees | 121 | 19% | 15 | 11% | Azure Data Lake Storage |
| Segment | Azure Data Lake Storage | share | Microsoft DFS | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 278 | 44% | 55 | 40% | Azure Data Lake Storage |
| Business & finance services | 148 | 24% | 27 | 20% | Azure Data Lake Storage |
| Manufacturing & industry | 63 | 10% | 21 | 15% | Microsoft DFS |
| Health care | 24 | 4% | 3 | 2% | even |
| Utilities & infrastructure | 23 | 4% | 3 | 2% | even |
| Property & construction | 15 | 2% | 6 | 4% | Microsoft DFS |
| Commerce & trade | 14 | 2% | 3 | 2% | even |
| Public, community & associations | 13 | 2% | 7 | 5% | Microsoft DFS |
| Transport, logistics & rental | 12 | 2% | 3 | 2% | even |
| Consumer services & leisure | 11 | 2% | 2 | 1% | even |
| Media & content | 11 | 2% | 3 | 2% | even |
| Automotive | 8 | 1% | 3 | 2% | even |
| Segment | Azure Data Lake Storage | share | Microsoft DFS | share | Leans |
|---|---|---|---|---|---|
| United States | 379 | 60% | 87 | 64% | Microsoft DFS |
| United Kingdom | 55 | 9% | 4 | 3% | Azure Data Lake Storage |
| Canada | 31 | 5% | 5 | 4% | even |
| Germany | 25 | 4% | 10 | 7% | Microsoft DFS |
| India | 18 | 3% | 3 | 2% | even |
| France | 13 | 2% | 2 | 1% | even |
| Australia | 12 | 2% | 2 | 1% | even |
| Netherlands | 12 | 2% | 4 | 3% | even |
| Belgium | 11 | 2% | 2 | 1% | even |
| United Arab Emirates | 7 | 1% | – | – | outside top 12 |
| Brazil | 7 | 1% | 2 | 1% | even |
| Sweden | 7 | 1% | – | – | outside top 12 |
| Switzerland | – | – | 3 | 2% | outside top 12 |
| Estonia | – | – | 2 | 1% | outside top 12 |
| Segment | Azure Data Lake Storage | share | Microsoft DFS | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,847 | 71% | 3 | 1% | Azure Data Lake Storage |
| Software engineering | 254 | 10% | 52 | 10% | even |
| IT operations & business systems | 160 | 6% | 293 | 59% | Microsoft DFS |
| Product, program & project management | 19 | 1% | 18 | 4% | Microsoft DFS |
| General management & consulting | 11 | 0% | 4 | 1% | even |
| Construction and civil | 6 | 0% | – | – | outside top 12 |
| Sales | 6 | 0% | 8 | 2% | even |
| Finance & accounting | 5 | 0% | 3 | 1% | even |
| Business development & strategy | 3 | 0% | – | – | outside top 12 |
| Engineering (non-software) | 3 | 0% | 40 | 8% | Microsoft DFS |
| Human resources | 2 | 0% | – | – | outside top 12 |
| Quality, safety & environment | 2 | 0% | – | – | outside top 12 |
| Customer service & success | – | – | 13 | 3% | outside top 12 |
| Skilled trades and field service | – | – | 3 | 1% | outside top 12 |
| Administration & office | – | – | 2 | 0% | outside top 12 |
| Logistics warehouse and transport | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Data Lake Storage →
Companies using Microsoft DFS →
storage systems ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Microsoft DFS is named by 136 companies in job postings and Azure Data Lake Storage by 628; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-data-lake-storage-vs-microsoft-dfs)
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 Data Lake Storage vs Microsoft DFS: questions
Which is more used, Azure Data Lake Storage or Microsoft DFS?
By companies naming it in their own job postings, Azure Data Lake Storage (628) over Microsoft DFS (136). By website-and-DNS footprint, Microsoft DFS (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Data Lake Storage?
31% of Azure Data Lake Storage companies have 2 to 200 employees, against 38% for Microsoft DFS. 47% of Azure Data Lake Storage companies have over 1,000 employees, against 36% for Microsoft DFS.
Do companies run both?
0 companies name both in their postings, usually Azure Data Lake Storage in marketing and Microsoft DFS 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.
Get either list your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
Every company on either tool,
with the person who owns it
Filter on Azure Data Lake Storage or Microsoft DFS. Start free, no card.