Google Cloud Dataproc VS Ray
As of 30 October 2026, Ray is named by 373 companies and Google Cloud Dataproc by 131; Google Cloud Dataproc skews to companies under 200 people (27% vs 47%), Ray to companies over 1,000 (26% vs 47%).
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: Google Cloud Dataproc's script and mail records show on hundreds of thousands of small sites, Ray rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Google Cloud Dataproc: 2–200 employees
- 27%
- Ray: 2–200 employees
- 47%
- Google Cloud Dataproc: 1,000+ employees
- 47%
- Ray: 1,000+ employees
- 26%
- Postings per company, 90 days
- 3.7 · 2.6
- 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 | Google Cloud Dataproc | share | Ray | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 1% | 20 | 5% | Ray |
| 2-10 employees | 5 | 4% | 57 | 15% | Ray |
| 11-50 employees | 10 | 8% | 57 | 15% | Ray |
| 51-200 employees | 21 | 16% | 61 | 16% | even |
| 201-500 employees | 21 | 16% | 49 | 13% | Google Cloud Dataproc |
| 501-1000 employees | 11 | 8% | 33 | 9% | even |
| 1001-5000 employees | 23 | 18% | 49 | 13% | Google Cloud Dataproc |
| 5001-10000 employees | 6 | 5% | 16 | 4% | even |
| 10,001+ employees | 33 | 25% | 31 | 8% | Google Cloud Dataproc |
| Segment | Google Cloud Dataproc | share | Ray | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 72 | 55% | 212 | 57% | even |
| Business & finance services | 30 | 23% | 47 | 13% | Google Cloud Dataproc |
| Manufacturing & industry | 6 | 5% | 36 | 10% | Ray |
| Utilities & infrastructure | 5 | 4% | 9 | 2% | even |
| Media & content | 4 | 3% | 19 | 5% | Ray |
| Commerce & trade | 3 | 2% | 6 | 2% | even |
| Consumer services & leisure | 3 | 2% | 5 | 1% | even |
| Health care | 3 | 2% | 2 | 1% | even |
| Public, community & associations | 2 | 2% | 23 | 6% | Ray |
| Hospitality & travel | 1 | 1% | – | – | outside top 12 |
| Property & construction | 1 | 1% | 3 | 1% | even |
| Transport, logistics & rental | 1 | 1% | 4 | 1% | even |
| Automotive | – | – | 6 | 2% | outside top 12 |
| Segment | Google Cloud Dataproc | share | Ray | share | Leans |
|---|---|---|---|---|---|
| United States | 85 | 65% | 280 | 75% | Ray |
| United Kingdom | 8 | 6% | 21 | 6% | even |
| India | 6 | 5% | 8 | 2% | Google Cloud Dataproc |
| Canada | 5 | 4% | 8 | 2% | even |
| Germany | 4 | 3% | 8 | 2% | even |
| Poland | 4 | 3% | – | – | outside top 12 |
| France | 3 | 2% | 3 | 1% | even |
| Brazil | 2 | 2% | – | – | outside top 12 |
| Spain | 2 | 2% | – | – | outside top 12 |
| Singapore | 2 | 2% | 5 | 1% | even |
| Austria | 1 | 1% | – | – | outside top 12 |
| Australia | 1 | 1% | 5 | 1% | even |
| Finland | – | – | 5 | 1% | outside top 12 |
| Switzerland | – | – | 3 | 1% | outside top 12 |
| Netherlands | – | – | 3 | 1% | outside top 12 |
| United Arab Emirates | – | – | 2 | 1% | outside top 12 |
| Segment | Google Cloud Dataproc | share | Ray | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 433 | 67% | 757 | 56% | Google Cloud Dataproc |
| Software engineering | 69 | 11% | 290 | 21% | Ray |
| IT operations & business systems | 40 | 6% | 35 | 3% | Google Cloud Dataproc |
| Hospitality and food service | 4 | 1% | – | – | outside top 12 |
| Product, program & project management | 3 | 0% | 20 | 1% | even |
| Sales | 3 | 0% | 28 | 2% | even |
| Finance & accounting | 2 | 0% | 5 | 0% | even |
| General management & consulting | 2 | 0% | – | – | outside top 12 |
| Customer service & success | 1 | 0% | 12 | 1% | even |
| Education & training | 1 | 0% | – | – | outside top 12 |
| Engineering (non-software) | 1 | 0% | 13 | 1% | even |
| Legal, compliance & risk | 1 | 0% | – | – | outside top 12 |
| Design & UX | – | – | 6 | 0% | outside top 12 |
| Marketing & communications | – | – | 6 | 0% | outside top 12 |
| Research and science | – | – | 5 | 0% | outside top 12 |
| Unclassified | – | – | 5 | 0% | outside top 12 |
The companies behind each column
Companies using Google Cloud Dataproc →
Companies using Ray →
distributed processing ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Ray is named by 373 companies in job postings and Google Cloud Dataproc by 131; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/google-cloud-dataproc-vs-ray)
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.
Google Cloud Dataproc vs Ray: questions
Which is more used, Google Cloud Dataproc or Ray?
By companies naming it in their own job postings, Ray (373) over Google Cloud Dataproc (131). By website-and-DNS footprint, Ray (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Google Cloud Dataproc?
27% of Google Cloud Dataproc companies have 2 to 200 employees, against 47% for Ray. 47% of Google Cloud Dataproc companies have over 1,000 employees, against 26% for Ray.
Do companies run both?
0 companies name both in their postings, usually Google Cloud Dataproc in marketing and Ray 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 Google Cloud Dataproc or Ray. Start free, no card.