Ceph VS Hadoop Distributed File System
As of 30 October 2026, Hadoop Distributed File System is named by 233 companies and Ceph by 291; Ceph skews to companies under 200 people (54% vs 43%), Hadoop Distributed File System to companies over 1,000 (36% vs 24%).
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: Ceph's script and mail records show on hundreds of thousands of small sites, Hadoop Distributed File System rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Ceph: 2–200 employees
- 54%
- Hadoop Distributed File System: 2–200 employees
- 43%
- Ceph: 1,000+ employees
- 24%
- Hadoop Distributed File System: 1,000+ employees
- 36%
- Postings per company, 90 days
- 2.3 · 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 | Ceph | share | Hadoop Distributed File System | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 4 | 1% | 7 | 3% | even |
| 2-10 employees | 33 | 11% | 10 | 4% | Ceph |
| 11-50 employees | 62 | 21% | 34 | 15% | Ceph |
| 51-200 employees | 62 | 21% | 57 | 24% | Hadoop Distributed File System |
| 201-500 employees | 41 | 14% | 23 | 10% | Ceph |
| 501-1000 employees | 20 | 7% | 19 | 8% | even |
| 1001-5000 employees | 40 | 14% | 38 | 16% | Hadoop Distributed File System |
| 5001-10000 employees | 12 | 4% | 13 | 6% | even |
| 10,001+ employees | 17 | 6% | 32 | 14% | Hadoop Distributed File System |
| Segment | Ceph | share | Hadoop Distributed File System | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 166 | 57% | 137 | 59% | even |
| Manufacturing & industry | 29 | 10% | 12 | 5% | Ceph |
| Business & finance services | 28 | 10% | 57 | 24% | Hadoop Distributed File System |
| Public, community & associations | 15 | 5% | 4 | 2% | Ceph |
| Consumer services & leisure | 14 | 5% | 3 | 1% | Ceph |
| Media & content | 14 | 5% | 9 | 4% | even |
| Utilities & infrastructure | 10 | 3% | 3 | 1% | Ceph |
| Health care | 9 | 3% | – | – | outside top 12 |
| Commerce & trade | 4 | 1% | 2 | 1% | even |
| Transport, logistics & rental | 2 | 1% | 1 | 0% | even |
| Automotive | – | – | 3 | 1% | outside top 12 |
| Hospitality & travel | – | – | 1 | 0% | outside top 12 |
| Property & construction | – | – | 1 | 0% | outside top 12 |
| Segment | Ceph | share | Hadoop Distributed File System | share | Leans |
|---|---|---|---|---|---|
| United States | 153 | 53% | 164 | 70% | Hadoop Distributed File System |
| Germany | 36 | 12% | 3 | 1% | Ceph |
| United Kingdom | 19 | 7% | 11 | 5% | even |
| Canada | 11 | 4% | – | – | outside top 12 |
| France | 10 | 3% | 11 | 5% | even |
| Netherlands | 7 | 2% | – | – | outside top 12 |
| Sweden | 7 | 2% | – | – | outside top 12 |
| Australia | 5 | 2% | – | – | outside top 12 |
| Poland | 5 | 2% | – | – | outside top 12 |
| Switzerland | 4 | 1% | 2 | 1% | even |
| Italy | 4 | 1% | 3 | 1% | even |
| Czechia | 3 | 1% | – | – | outside top 12 |
| India | – | – | 10 | 4% | outside top 12 |
| Singapore | – | – | 7 | 3% | outside top 12 |
| United Arab Emirates | – | – | 4 | 2% | outside top 12 |
| Austria | – | – | 2 | 1% | outside top 12 |
| Belgium | – | – | 2 | 1% | outside top 12 |
| Brazil | – | – | 2 | 1% | outside top 12 |
| Segment | Ceph | share | Hadoop Distributed File System | share | Leans |
|---|---|---|---|---|---|
| IT operations & business systems | 331 | 32% | 91 | 7% | Ceph |
| Software engineering | 312 | 30% | 279 | 22% | Ceph |
| Data & AI | 48 | 5% | 723 | 57% | Hadoop Distributed File System |
| Healthcare clinical | 36 | 3% | – | – | outside top 12 |
| Engineering (non-software) | 32 | 3% | 7 | 1% | Ceph |
| Customer service & success | 18 | 2% | 5 | 0% | even |
| Sales | 18 | 2% | 13 | 1% | even |
| Product, program & project management | 12 | 1% | 7 | 1% | even |
| Human resources | 10 | 1% | – | – | outside top 12 |
| Design & UX | 8 | 1% | – | – | outside top 12 |
| Logistics warehouse and transport | 4 | 0% | 1 | 0% | even |
| Finance & accounting | 3 | 0% | 4 | 0% | even |
| Education & training | – | – | 3 | 0% | outside top 12 |
| General management & consulting | – | – | 3 | 0% | outside top 12 |
| Administration & office | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Ceph →
Companies using Hadoop Distributed File System →
storage systems ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Hadoop Distributed File System is named by 233 companies in job postings and Ceph by 291; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/ceph-vs-hdfs)
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.
Ceph vs Hadoop Distributed File System: questions
Which is more used, Ceph or Hadoop Distributed File System?
By companies naming it in their own job postings, Ceph (291) over Hadoop Distributed File System (233). By website-and-DNS footprint, Hadoop Distributed File System (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Ceph?
54% of Ceph companies have 2 to 200 employees, against 43% for Hadoop Distributed File System. 24% of Ceph companies have over 1,000 employees, against 36% for Hadoop Distributed File System.
Do companies run both?
0 companies name both in their postings, usually Ceph in marketing and Hadoop Distributed File System 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 Ceph or Hadoop Distributed File System. Start free, no card.