Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEApache Hadoop VS PySpark_
As of 4 November 2026, PySpark is named by 2,336 companies and Apache Hadoop by 1,762; Apache Hadoop skews to companies under 200 people (44% vs 33%), PySpark to companies over 1,000 (41% vs 34%).
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: Apache Hadoop's script and mail records show on hundreds of thousands of small sites, PySpark rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Hadoop: 2–200 employees
- 44%
- PySpark: 2–200 employees
- 33%
- Apache Hadoop: 1,000+ employees
- 34%
- PySpark: 1,000+ employees
- 41%
- Postings per company, 90 days
- 4.6 · 3.2
- 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 | Apache Hadoop | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 63 | 4% | 47 | 2% | even |
| 2-10 employees | 142 | 8% | 128 | 5% | Apache Hadoop |
| 11-50 employees | 277 | 16% | 233 | 10% | Apache Hadoop |
| 51-200 employees | 364 | 21% | 411 | 18% | Apache Hadoop |
| 201-500 employees | 192 | 11% | 328 | 14% | PySpark |
| 501-1000 employees | 132 | 7% | 239 | 10% | PySpark |
| 1001-5000 employees | 249 | 14% | 406 | 17% | PySpark |
| 5001-10000 employees | 74 | 4% | 137 | 6% | even |
| 10,001+ employees | 269 | 15% | 407 | 17% | PySpark |
| Segment | Apache Hadoop | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 924 | 52% | 1,029 | 44% | Apache Hadoop |
| Business & finance services | 405 | 23% | 601 | 26% | PySpark |
| Manufacturing & industry | 115 | 7% | 209 | 9% | PySpark |
| Media & content | 69 | 4% | 66 | 3% | even |
| Consumer services & leisure | 65 | 4% | 63 | 3% | even |
| Public, community & associations | 40 | 2% | 50 | 2% | even |
| Commerce & trade | 38 | 2% | 93 | 4% | even |
| Utilities & infrastructure | 31 | 2% | 54 | 2% | even |
| Health care | 19 | 1% | 52 | 2% | even |
| Automotive | 16 | 1% | 23 | 1% | even |
| Transport, logistics & rental | 16 | 1% | 38 | 2% | even |
| Property & construction | 13 | 1% | 33 | 1% | even |
| Segment | Apache Hadoop | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| United States | 1,096 | 62% | 1,298 | 56% | Apache Hadoop |
| United Kingdom | 90 | 5% | 181 | 8% | PySpark |
| India | 83 | 5% | 68 | 3% | even |
| France | 63 | 4% | 63 | 3% | even |
| Canada | 34 | 2% | 77 | 3% | even |
| Germany | 34 | 2% | 94 | 4% | PySpark |
| Singapore | 27 | 2% | – | – | outside top 12 |
| Brazil | 21 | 1% | 66 | 3% | even |
| Australia | 18 | 1% | 36 | 2% | even |
| Italy | 18 | 1% | – | – | outside top 12 |
| Spain | 16 | 1% | 31 | 1% | even |
| Switzerland | 14 | 1% | – | – | outside top 12 |
| Netherlands | – | – | 42 | 2% | outside top 12 |
| Sweden | – | – | 33 | 1% | outside top 12 |
| Poland | – | – | 25 | 1% | outside top 12 |
| Segment | Apache Hadoop | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 5,475 | 46% | 7,042 | 74% | PySpark |
| Software engineering | 2,117 | 18% | 948 | 10% | Apache Hadoop |
| IT operations & business systems | 773 | 7% | 272 | 3% | Apache Hadoop |
| Sales | 484 | 4% | 31 | 0% | Apache Hadoop |
| Product, program & project management | 443 | 4% | 64 | 1% | Apache Hadoop |
| Engineering (non-software) | 430 | 4% | 41 | 0% | Apache Hadoop |
| Unclassified | 100 | 1% | 25 | 0% | even |
| Finance & accounting | 97 | 1% | 45 | 0% | even |
| skilled trades and field service | 92 | 1% | 1 | 0% | even |
| Quality, safety & environment | 87 | 1% | 10 | 0% | even |
| Customer service & success | 86 | 1% | 3 | 0% | even |
| Legal, compliance & risk | 82 | 1% | 49 | 1% | even |
| logistics warehouse and transport | 54 | 0% | 35 | 0% | even |
| manufacturing and production | 43 | 0% | – | – | outside top 12 |
| Business development & strategy | 42 | 0% | 4 | 0% | even |
| General management & consulting | 42 | 0% | 57 | 1% | even |
| Human resources | 42 | 0% | 2 | 0% | even |
| Marketing & communications | 40 | 0% | 20 | 0% | even |
| procurement and purchasing | 34 | 0% | – | – | outside top 12 |
| Administration & office | 16 | 0% | 1 | 0% | even |
| construction and civil | 15 | 0% | 10 | 0% | even |
| public safety and protective services | 15 | 0% | – | – | outside top 12 |
| Design & UX | 14 | 0% | 2 | 0% | even |
| Education & training | 12 | 0% | 6 | 0% | even |
| arts media and entertainment | 6 | 0% | – | – | outside top 12 |
| research and science | 6 | 0% | 7 | 0% | even |
| agriculture and environment | 4 | 0% | – | – | outside top 12 |
| hospitality and food service | 3 | 0% | 5 | 0% | even |
| facilities cleaning and security | 2 | 0% | – | – | outside top 12 |
| Retail & store operations | 2 | 0% | 1 | 0% | even |
| healthcare clinical | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Hadoop →
Companies using PySpark →
distributed processing ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
PySpark is named by 2,336 companies in job postings and Apache Hadoop by 1,762; 424 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/apache-hadoop-vs-pyspark)
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.
Apache Hadoop vs PySpark: questions
Which is more used, Apache Hadoop or PySpark?
By companies naming it in their own job postings, PySpark (2,336) over Apache Hadoop (1,762). By website-and-DNS footprint, PySpark (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Hadoop?
44% of Apache Hadoop companies have 2 to 200 employees, against 33% for PySpark. 34% of Apache Hadoop companies have over 1,000 employees, against 41% for PySpark.
Do companies run both?
424 companies name both in their postings, usually Apache Hadoop in marketing and PySpark 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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