Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DE
Amazon Kinesis VS RabbitMQ_
As of 4 November 2026, RabbitMQ is named by 2,560 companies and Amazon Kinesis by 961; Amazon Kinesis skews to companies under 200 people (39% vs 48%), RabbitMQ to companies over 1,000 (26% vs 34%).
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: Amazon Kinesis's script and mail records show on hundreds of thousands of small sites, RabbitMQ rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Amazon Kinesis: 2–200 employees
- 39%
- RabbitMQ: 2–200 employees
- 48%
- Amazon Kinesis: 1,000+ employees
- 34%
- RabbitMQ: 1,000+ employees
- 26%
- Postings per company, 90 days
- 2.3 · 2.4
- 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 | Amazon Kinesis | share | RabbitMQ | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 25 | 3% | 85 | 3% | even |
| 2-10 employees | 60 | 6% | 211 | 8% | even |
| 11-50 employees | 116 | 12% | 424 | 17% | RabbitMQ |
| 51-200 employees | 201 | 21% | 585 | 23% | even |
| 201-500 employees | 121 | 13% | 353 | 14% | even |
| 501-1000 employees | 108 | 11% | 238 | 9% | even |
| 1001-5000 employees | 168 | 17% | 349 | 14% | Amazon Kinesis |
| 5001-10000 employees | 50 | 5% | 100 | 4% | even |
| 10,001+ employees | 112 | 12% | 215 | 8% | Amazon Kinesis |
| Segment | Amazon Kinesis | share | RabbitMQ | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 500 | 52% | 1,442 | 56% | RabbitMQ |
| Business & finance services | 220 | 23% | 512 | 20% | Amazon Kinesis |
| Manufacturing & industry | 70 | 7% | 158 | 6% | even |
| Media & content | 48 | 5% | 83 | 3% | even |
| Commerce & trade | 22 | 2% | 70 | 3% | even |
| Consumer services & leisure | 20 | 2% | 52 | 2% | even |
| Utilities & infrastructure | 20 | 2% | 67 | 3% | even |
| Transport, logistics & rental | 14 | 1% | 39 | 2% | even |
| Automotive | 13 | 1% | 33 | 1% | even |
| Public, community & associations | 11 | 1% | 31 | 1% | even |
| Property & construction | 9 | 1% | 25 | 1% | even |
| Health care | 6 | 1% | – | – | outside top 12 |
| Hospitality & travel | – | – | 26 | 1% | outside top 12 |
| Segment | Amazon Kinesis | share | RabbitMQ | share | Leans |
|---|---|---|---|---|---|
| United States | 669 | 70% | 1,280 | 50% | Amazon Kinesis |
| United Kingdom | 63 | 7% | 177 | 7% | even |
| India | 29 | 3% | 93 | 4% | even |
| Canada | 22 | 2% | 35 | 1% | even |
| Germany | 21 | 2% | 95 | 4% | even |
| Brazil | 16 | 2% | 101 | 4% | RabbitMQ |
| Australia | 12 | 1% | 27 | 1% | even |
| France | 9 | 1% | 116 | 5% | RabbitMQ |
| Netherlands | 7 | 1% | 42 | 2% | even |
| Singapore | 7 | 1% | – | – | outside top 12 |
| Spain | 6 | 1% | 30 | 1% | even |
| Italy | 5 | 1% | – | – | outside top 12 |
| Poland | – | – | 61 | 2% | outside top 12 |
| Sweden | – | – | 27 | 1% | outside top 12 |
| Segment | Amazon Kinesis | share | RabbitMQ | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,407 | 48% | 401 | 5% | Amazon Kinesis |
| Software engineering | 917 | 31% | 6,625 | 79% | RabbitMQ |
| IT operations & business systems | 163 | 6% | 405 | 5% | even |
| Product, program & project management | 77 | 3% | 42 | 1% | Amazon Kinesis |
| Sales | 29 | 1% | 20 | 0% | even |
| Customer service & success | 12 | 0% | 20 | 0% | even |
| Engineering (non-software) | 8 | 0% | 119 | 1% | even |
| General management & consulting | 6 | 0% | 8 | 0% | even |
| Legal, compliance & risk | 3 | 0% | – | – | outside top 12 |
| personal care and wellness | 2 | 0% | – | – | outside top 12 |
| arts media and entertainment | 1 | 0% | 1 | 0% | even |
| construction and civil | 1 | 0% | 6 | 0% | even |
| Design & UX | 1 | 0% | 1 | 0% | even |
| logistics warehouse and transport | 1 | 0% | – | – | outside top 12 |
| Marketing & communications | 1 | 0% | 8 | 0% | even |
| Quality, safety & environment | 1 | 0% | 15 | 0% | even |
| Unclassified | 1 | 0% | 34 | 0% | even |
| Finance & accounting | – | – | 5 | 0% | outside top 12 |
| Education & training | – | – | 2 | 0% | outside top 12 |
| skilled trades and field service | – | – | 2 | 0% | outside top 12 |
| manufacturing and production | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Amazon Kinesis →
Companies using RabbitMQ →
message brokers streaming ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
RabbitMQ is named by 2,560 companies in job postings and Amazon Kinesis by 961; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/amazon-kinesis-vs-rabbitmq)
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.
Amazon Kinesis vs RabbitMQ: questions
Which is more used, Amazon Kinesis or RabbitMQ?
By companies naming it in their own job postings, RabbitMQ (2,560) over Amazon Kinesis (961). By website-and-DNS footprint, RabbitMQ (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Amazon Kinesis?
39% of Amazon Kinesis companies have 2 to 200 employees, against 48% for RabbitMQ. 34% of Amazon Kinesis companies have over 1,000 employees, against 26% for RabbitMQ.
Do companies run both?
0 companies name both in their postings, usually Amazon Kinesis in marketing and RabbitMQ 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 Amazon Kinesis or RabbitMQ, and get 1,000 records free.