Apache Spark VS PySpark
As of 4 November 2026, PySpark is named by 2,336 companies and Apache Spark by 4,705; Apache Spark skews to companies under 200 people (42% vs 33%), PySpark to companies over 1,000 (41% vs 33%).
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 Spark'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 Spark: 2–200 employees
- 42%
- PySpark: 2–200 employees
- 33%
- Apache Spark: 1,000+ employees
- 33%
- PySpark: 1,000+ employees
- 41%
- Postings per company, 90 days
- 3.7 · 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 Spark | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 155 | 3% | 47 | 2% | even |
| 2-10 employees | 396 | 8% | 128 | 5% | Apache Spark |
| 11-50 employees | 644 | 14% | 233 | 10% | Apache Spark |
| 51-200 employees | 933 | 20% | 411 | 18% | Apache Spark |
| 201-500 employees | 624 | 13% | 328 | 14% | even |
| 501-1000 employees | 413 | 9% | 239 | 10% | even |
| 1001-5000 employees | 722 | 15% | 406 | 17% | PySpark |
| 5001-10000 employees | 234 | 5% | 137 | 6% | even |
| 10,001+ employees | 584 | 12% | 407 | 17% | PySpark |
| Segment | Apache Spark | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 2,352 | 50% | 1,029 | 44% | Apache Spark |
| Business & finance services | 1,017 | 22% | 601 | 26% | PySpark |
| Manufacturing & industry | 334 | 7% | 209 | 9% | even |
| Media & content | 188 | 4% | 66 | 3% | even |
| Commerce & trade | 146 | 3% | 93 | 4% | even |
| Consumer services & leisure | 141 | 3% | 63 | 3% | even |
| Utilities & infrastructure | 119 | 3% | 54 | 2% | even |
| Public, community & associations | 112 | 2% | 50 | 2% | even |
| Health care | 75 | 2% | 52 | 2% | even |
| Property & construction | 66 | 1% | 33 | 1% | even |
| Transport, logistics & rental | 62 | 1% | 38 | 2% | even |
| Automotive | 51 | 1% | 23 | 1% | even |
| Segment | Apache Spark | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| United States | 2,807 | 60% | 1,298 | 56% | Apache Spark |
| United Kingdom | 307 | 7% | 181 | 8% | even |
| Germany | 176 | 4% | 94 | 4% | even |
| India | 156 | 3% | 68 | 3% | even |
| France | 142 | 3% | 63 | 3% | even |
| Canada | 111 | 2% | 77 | 3% | even |
| Brazil | 77 | 2% | 66 | 3% | even |
| Australia | 59 | 1% | 36 | 2% | even |
| Spain | 53 | 1% | 31 | 1% | even |
| Netherlands | 52 | 1% | 42 | 2% | even |
| Sweden | 47 | 1% | 33 | 1% | even |
| Singapore | 42 | 1% | – | – | outside top 12 |
| Poland | – | – | 25 | 1% | outside top 12 |
| Segment | Apache Spark | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 15,441 | 64% | 7,042 | 74% | PySpark |
| Software engineering | 4,243 | 18% | 948 | 10% | Apache Spark |
| IT operations & business systems | 748 | 3% | 272 | 3% | even |
| Sales | 407 | 2% | 31 | 0% | even |
| Product, program & project management | 332 | 1% | 64 | 1% | even |
| Engineering (non-software) | 128 | 1% | 41 | 0% | even |
| General management & consulting | 91 | 0% | 57 | 1% | even |
| Customer service & success | 75 | 0% | 3 | 0% | even |
| Marketing & communications | 74 | 0% | 20 | 0% | even |
| Finance & accounting | 71 | 0% | 45 | 0% | even |
| Legal, compliance & risk | 71 | 0% | 49 | 1% | even |
| Unclassified | 49 | 0% | 25 | 0% | even |
| Education & training | 33 | 0% | 6 | 0% | even |
| Quality, safety & environment | 25 | 0% | 10 | 0% | even |
| Business development & strategy | 24 | 0% | 4 | 0% | even |
| Logistics warehouse and transport | 24 | 0% | 35 | 0% | even |
| Research and science | 24 | 0% | 7 | 0% | even |
| Human resources | 20 | 0% | 2 | 0% | even |
| Construction and civil | 17 | 0% | 10 | 0% | even |
| Social care and community | 16 | 0% | – | – | outside top 12 |
| Design & UX | 14 | 0% | 2 | 0% | even |
| Arts media and entertainment | 10 | 0% | – | – | outside top 12 |
| Procurement and purchasing | 9 | 0% | – | – | outside top 12 |
| Healthcare clinical | 8 | 0% | 1 | 0% | even |
| Skilled trades and field service | 8 | 0% | 1 | 0% | even |
| Healthcare support and caregiving | 7 | 0% | – | – | outside top 12 |
| Retail & store operations | 6 | 0% | 1 | 0% | even |
| Administration & office | 5 | 0% | 1 | 0% | even |
| Real estate and property | 5 | 0% | – | – | outside top 12 |
| Hospitality and food service | 4 | 0% | 5 | 0% | even |
The companies behind each column
Companies using Apache Spark →
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 Spark by 4,705; 1,595 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/apache-spark-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 Spark vs PySpark: questions
Which is more used, Apache Spark or PySpark?
By companies naming it in their own job postings, Apache Spark (4,705) over PySpark (2,336). By website-and-DNS footprint, PySpark (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Spark?
42% of Apache Spark companies have 2 to 200 employees, against 33% for PySpark. 33% of Apache Spark companies have over 1,000 employees, against 41% for PySpark.
Do companies run both?
1,595 companies name both in their postings, usually Apache Spark 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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