Apache Storm VS PySpark
As of 30 October 2026, PySpark is named by 1,730 companies and Apache Storm by 125; Apache Storm skews to companies under 200 people (40% vs 34%), PySpark to companies over 1,000 (40% vs 37%).
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: Apache Storm'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 Storm: 2–200 employees
- 40%
- PySpark: 2–200 employees
- 34%
- Apache Storm: 1,000+ employees
- 37%
- PySpark: 1,000+ employees
- 40%
- Postings per company, 90 days
- 2.0 · 3.5
- 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 Storm | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 2% | 15 | 1% | even |
| 2-10 employees | 6 | 5% | 91 | 5% | even |
| 11-50 employees | 22 | 18% | 182 | 11% | Apache Storm |
| 51-200 employees | 22 | 18% | 323 | 19% | even |
| 201-500 employees | 19 | 15% | 245 | 14% | even |
| 501-1000 employees | 7 | 6% | 179 | 10% | PySpark |
| 1001-5000 employees | 25 | 20% | 308 | 18% | Apache Storm |
| 5001-10000 employees | 5 | 4% | 96 | 6% | even |
| 10,001+ employees | 16 | 13% | 291 | 17% | PySpark |
| Segment | Apache Storm | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 59 | 47% | 804 | 46% | even |
| Business & finance services | 37 | 30% | 439 | 25% | Apache Storm |
| Property & construction | 11 | 9% | 19 | 1% | Apache Storm |
| Public, community & associations | 5 | 4% | 38 | 2% | even |
| Manufacturing & industry | 5 | 4% | 153 | 9% | PySpark |
| Commerce & trade | 3 | 2% | 58 | 3% | even |
| Consumer services & leisure | 3 | 2% | 37 | 2% | even |
| Media & content | 1 | 1% | 50 | 3% | PySpark |
| Utilities & infrastructure | 1 | 1% | 43 | 2% | even |
| Health care | – | – | 38 | 2% | outside top 12 |
| Transport, logistics & rental | – | – | 25 | 1% | outside top 12 |
| Automotive | – | – | 12 | 1% | outside top 12 |
| Segment | Apache Storm | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| United States | 88 | 70% | 1,001 | 58% | Apache Storm |
| Canada | 5 | 4% | 65 | 4% | even |
| United Kingdom | 5 | 4% | 148 | 9% | PySpark |
| France | 4 | 3% | 51 | 3% | even |
| Germany | 3 | 2% | 79 | 5% | PySpark |
| Poland | 3 | 2% | 22 | 1% | even |
| China | 2 | 2% | – | – | outside top 12 |
| India | 2 | 2% | 50 | 3% | even |
| Netherlands | 2 | 2% | 39 | 2% | even |
| Singapore | 2 | 2% | – | – | outside top 12 |
| United Arab Emirates | 1 | 1% | – | – | outside top 12 |
| BD | 1 | 1% | – | – | outside top 12 |
| Brazil | – | – | 29 | 2% | outside top 12 |
| Australia | – | – | 25 | 1% | outside top 12 |
| Spain | – | – | 21 | 1% | outside top 12 |
| Sweden | – | – | 20 | 1% | outside top 12 |
| Segment | Apache Storm | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 304 | 43% | 5,814 | 76% | PySpark |
| Engineering (non-software) | 146 | 21% | 35 | 0% | Apache Storm |
| Software engineering | 138 | 20% | 688 | 9% | Apache Storm |
| Construction and civil | 19 | 3% | 11 | 0% | Apache Storm |
| IT operations & business systems | 16 | 2% | 225 | 3% | even |
| Product, program & project management | 13 | 2% | 52 | 1% | even |
| Administration & office | 1 | 0% | – | – | outside top 12 |
| Design & UX | 1 | 0% | – | – | outside top 12 |
| Research and science | 1 | 0% | – | – | outside top 12 |
| General management & consulting | – | – | 48 | 1% | outside top 12 |
| Legal, compliance & risk | – | – | 42 | 1% | outside top 12 |
| Finance & accounting | – | – | 35 | 0% | outside top 12 |
| Sales | – | – | 26 | 0% | outside top 12 |
| Unclassified | – | – | 20 | 0% | outside top 12 |
| Marketing & communications | – | – | 15 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Storm →
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 1,730 companies in job postings and Apache Storm by 125; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-storm-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 Storm vs PySpark: questions
Which is more used, Apache Storm or PySpark?
By companies naming it in their own job postings, PySpark (1,730) over Apache Storm (125). By website-and-DNS footprint, PySpark (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Storm?
40% of Apache Storm companies have 2 to 200 employees, against 34% for PySpark. 37% of Apache Storm companies have over 1,000 employees, against 40% for PySpark.
Do companies run both?
0 companies name both in their postings, usually Apache Storm 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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