Apache Flink VS PySpark
As of 4 November 2026, PySpark is named by 2,336 companies and Apache Flink by 943; Apache Flink skews to companies under 200 people (39% 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 Flink'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 Flink: 2–200 employees
- 39%
- PySpark: 2–200 employees
- 33%
- Apache Flink: 1,000+ employees
- 33%
- PySpark: 1,000+ employees
- 41%
- Postings per company, 90 days
- 2.7 · 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 Flink | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 31 | 3% | 47 | 2% | even |
| 2-10 employees | 88 | 9% | 128 | 5% | Apache Flink |
| 11-50 employees | 122 | 13% | 233 | 10% | Apache Flink |
| 51-200 employees | 162 | 17% | 411 | 18% | even |
| 201-500 employees | 136 | 14% | 328 | 14% | even |
| 501-1000 employees | 93 | 10% | 239 | 10% | even |
| 1001-5000 employees | 158 | 17% | 406 | 17% | even |
| 5001-10000 employees | 43 | 5% | 137 | 6% | even |
| 10,001+ employees | 110 | 12% | 407 | 17% | PySpark |
| Segment | Apache Flink | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 498 | 53% | 1,029 | 44% | Apache Flink |
| Business & finance services | 190 | 20% | 601 | 26% | PySpark |
| Manufacturing & industry | 57 | 6% | 209 | 9% | PySpark |
| Media & content | 54 | 6% | 66 | 3% | Apache Flink |
| Commerce & trade | 29 | 3% | 93 | 4% | even |
| Consumer services & leisure | 21 | 2% | 63 | 3% | even |
| Utilities & infrastructure | 21 | 2% | 54 | 2% | even |
| Public, community & associations | 17 | 2% | 50 | 2% | even |
| Automotive | 14 | 1% | 23 | 1% | even |
| Hospitality & travel | 12 | 1% | – | – | outside top 12 |
| Property & construction | 11 | 1% | 33 | 1% | even |
| Transport, logistics & rental | 9 | 1% | 38 | 2% | even |
| Health care | – | – | 52 | 2% | outside top 12 |
| Segment | Apache Flink | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| United States | 622 | 66% | 1,298 | 56% | Apache Flink |
| United Kingdom | 43 | 5% | 181 | 8% | PySpark |
| Germany | 41 | 4% | 94 | 4% | even |
| India | 18 | 2% | 68 | 3% | even |
| Singapore | 13 | 1% | – | – | outside top 12 |
| France | 12 | 1% | 63 | 3% | even |
| Australia | 11 | 1% | 36 | 2% | even |
| Canada | 11 | 1% | 77 | 3% | PySpark |
| Spain | 10 | 1% | 31 | 1% | even |
| Sweden | 10 | 1% | 33 | 1% | even |
| Brazil | 9 | 1% | 66 | 3% | even |
| Netherlands | 9 | 1% | 42 | 2% | even |
| Poland | – | – | 25 | 1% | outside top 12 |
| Segment | Apache Flink | share | PySpark | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,560 | 46% | 7,042 | 74% | PySpark |
| Software engineering | 1,239 | 37% | 948 | 10% | Apache Flink |
| IT operations & business systems | 129 | 4% | 272 | 3% | even |
| Product, program & project management | 28 | 1% | 64 | 1% | even |
| Retail & store operations | 27 | 1% | 1 | 0% | even |
| Engineering (non-software) | 23 | 1% | 41 | 0% | even |
| Sales | 21 | 1% | 31 | 0% | even |
| Logistics warehouse and transport | 17 | 1% | 35 | 0% | even |
| Customer service & success | 16 | 0% | 3 | 0% | even |
| General management & consulting | 8 | 0% | 57 | 1% | even |
| Legal, compliance & risk | 8 | 0% | 49 | 1% | even |
| Marketing & communications | 7 | 0% | 20 | 0% | even |
| Unclassified | 3 | 0% | 25 | 0% | even |
| Human resources | 2 | 0% | 2 | 0% | even |
| Administration & office | 1 | 0% | 1 | 0% | even |
| Arts media and entertainment | 1 | 0% | – | – | outside top 12 |
| Construction and civil | 1 | 0% | 10 | 0% | even |
| Design & UX | 1 | 0% | 2 | 0% | even |
| Education & training | 1 | 0% | 6 | 0% | even |
| Hospitality and food service | 1 | 0% | 5 | 0% | even |
| Skilled trades and field service | 1 | 0% | 1 | 0% | even |
| Finance & accounting | – | – | 45 | 0% | outside top 12 |
| Quality, safety & environment | – | – | 10 | 0% | outside top 12 |
| Research and science | – | – | 7 | 0% | outside top 12 |
| Business development & strategy | – | – | 4 | 0% | outside top 12 |
| Healthcare clinical | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Flink →
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 Flink by 943; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/apache-flink-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 Flink vs PySpark: questions
Which is more used, Apache Flink or PySpark?
By companies naming it in their own job postings, PySpark (2,336) over Apache Flink (943). By website-and-DNS footprint, PySpark (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Flink?
39% of Apache Flink companies have 2 to 200 employees, against 33% for PySpark. 33% of Apache Flink companies have over 1,000 employees, against 41% for PySpark.
Do companies run both?
0 companies name both in their postings, usually Apache Flink 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.
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 Apache Flink or PySpark. Start free, no card.