Google Cloud Pub/Sub VS Java Message Service
As of 30 October 2026, Java Message Service is named by 425 companies and Google Cloud Pub/Sub by 679; Google Cloud Pub/Sub skews to companies under 200 people (42% vs 42%), Java Message Service to companies over 1,000 (31% vs 33%).
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 Pub/Sub's script and mail records show on hundreds of thousands of small sites, Java Message Service rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Google Cloud Pub/Sub: 2–200 employees
- 42%
- Java Message Service: 2–200 employees
- 42%
- Google Cloud Pub/Sub: 1,000+ employees
- 33%
- Java Message Service: 1,000+ employees
- 31%
- Postings per company, 90 days
- 2.9 · 2.7
- 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 Pub/Sub | share | Java Message Service | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 10 | 1% | 6 | 1% | even |
| 2-10 employees | 45 | 7% | 24 | 6% | even |
| 11-50 employees | 106 | 16% | 65 | 15% | even |
| 51-200 employees | 131 | 19% | 90 | 21% | even |
| 201-500 employees | 96 | 14% | 69 | 16% | Java Message Service |
| 501-1000 employees | 67 | 10% | 39 | 9% | even |
| 1001-5000 employees | 97 | 14% | 51 | 12% | Google Cloud Pub/Sub |
| 5001-10000 employees | 29 | 4% | 18 | 4% | even |
| 10,001+ employees | 98 | 14% | 63 | 15% | even |
| Segment | Google Cloud Pub/Sub | share | Java Message Service | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 376 | 55% | 257 | 60% | Java Message Service |
| Business & finance services | 133 | 20% | 91 | 21% | even |
| Manufacturing & industry | 40 | 6% | 23 | 5% | even |
| Commerce & trade | 30 | 4% | 9 | 2% | Google Cloud Pub/Sub |
| Media & content | 30 | 4% | 6 | 1% | Google Cloud Pub/Sub |
| Utilities & infrastructure | 16 | 2% | 8 | 2% | even |
| Consumer services & leisure | 14 | 2% | 10 | 2% | even |
| Public, community & associations | 11 | 2% | 7 | 2% | even |
| Transport, logistics & rental | 11 | 2% | 5 | 1% | even |
| Automotive | 7 | 1% | 1 | 0% | even |
| Health care | 4 | 1% | 3 | 1% | even |
| Property & construction | 4 | 1% | 5 | 1% | even |
| Segment | Google Cloud Pub/Sub | share | Java Message Service | share | Leans |
|---|---|---|---|---|---|
| United States | 426 | 63% | 255 | 60% | Google Cloud Pub/Sub |
| United Kingdom | 46 | 7% | 26 | 6% | even |
| Germany | 31 | 5% | 13 | 3% | even |
| France | 21 | 3% | 17 | 4% | even |
| India | 21 | 3% | 21 | 5% | even |
| Canada | 18 | 3% | 8 | 2% | even |
| Poland | 13 | 2% | 6 | 1% | even |
| Brazil | 10 | 1% | – | – | outside top 12 |
| Sweden | 10 | 1% | 8 | 2% | even |
| Australia | 9 | 1% | 4 | 1% | even |
| Spain | 9 | 1% | – | – | outside top 12 |
| Singapore | 8 | 1% | 5 | 1% | even |
| Switzerland | – | – | 7 | 2% | outside top 12 |
| Belgium | – | – | 4 | 1% | outside top 12 |
| Segment | Google Cloud Pub/Sub | share | Java Message Service | share | Leans |
|---|---|---|---|---|---|
| Software engineering | 1,080 | 42% | 1,594 | 73% | Java Message Service |
| Data & AI | 923 | 36% | 28 | 1% | Google Cloud Pub/Sub |
| IT operations & business systems | 180 | 7% | 214 | 10% | Java Message Service |
| Product, program & project management | 20 | 1% | 8 | 0% | even |
| Engineering (non-software) | 17 | 1% | 22 | 1% | even |
| Sales | 10 | 0% | 7 | 0% | even |
| Customer service & success | 7 | 0% | 4 | 0% | even |
| Human resources | 3 | 0% | – | – | outside top 12 |
| General management & consulting | 2 | 0% | – | – | outside top 12 |
| Arts media and entertainment | 1 | 0% | – | – | outside top 12 |
| Education & training | 1 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | 1 | 0% | 4 | 0% | even |
| Public safety and protective services | – | – | 5 | 0% | outside top 12 |
| Construction and civil | – | – | 3 | 0% | outside top 12 |
| Design & UX | – | – | 3 | 0% | outside top 12 |
| Finance & accounting | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Google Cloud Pub/Sub →
Companies using Java Message Service →
message brokers streaming ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Java Message Service is named by 425 companies in job postings and Google Cloud Pub/Sub by 679; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/google-cloud-pubsub-vs-jms)
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 Pub/Sub vs Java Message Service: questions
Which is more used, Google Cloud Pub/Sub or Java Message Service?
By companies naming it in their own job postings, Google Cloud Pub/Sub (679) over Java Message Service (425). By website-and-DNS footprint, Java Message Service (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Google Cloud Pub/Sub?
42% of Google Cloud Pub/Sub companies have 2 to 200 employees, against 42% for Java Message Service. 33% of Google Cloud Pub/Sub companies have over 1,000 employees, against 31% for Java Message Service.
Do companies run both?
0 companies name both in their postings, usually Google Cloud Pub/Sub in marketing and Java Message Service 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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