Apache Storm VS Kafka Streams
As of 30 October 2026, Kafka Streams is named by 109 companies and Apache Storm by 125; Apache Storm skews to companies under 200 people (40% vs 32%), Kafka Streams to companies over 1,000 (39% vs 37%).
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: Apache Storm's script and mail records show on hundreds of thousands of small sites, Kafka Streams rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Storm: 2–200 employees
- 40%
- Kafka Streams: 2–200 employees
- 32%
- Apache Storm: 1,000+ employees
- 37%
- Kafka Streams: 1,000+ employees
- 39%
- Postings per company, 90 days
- 2.0 · 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 | Apache Storm | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 2% | – | – | outside top 12 |
| 2-10 employees | 6 | 5% | 6 | 6% | even |
| 11-50 employees | 22 | 18% | 10 | 9% | Apache Storm |
| 51-200 employees | 22 | 18% | 19 | 17% | even |
| 201-500 employees | 19 | 15% | 14 | 13% | Apache Storm |
| 501-1000 employees | 7 | 6% | 17 | 16% | Kafka Streams |
| 1001-5000 employees | 25 | 20% | 15 | 14% | Apache Storm |
| 5001-10000 employees | 5 | 4% | 9 | 8% | Kafka Streams |
| 10,001+ employees | 16 | 13% | 19 | 17% | Kafka Streams |
| Segment | Apache Storm | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 59 | 47% | 61 | 56% | Kafka Streams |
| Business & finance services | 37 | 30% | 22 | 20% | Apache Storm |
| Property & construction | 11 | 9% | – | – | outside top 12 |
| Public, community & associations | 5 | 4% | – | – | outside top 12 |
| Manufacturing & industry | 5 | 4% | 6 | 6% | even |
| Commerce & trade | 3 | 2% | 4 | 4% | even |
| Consumer services & leisure | 3 | 2% | 1 | 1% | even |
| Media & content | 1 | 1% | 2 | 2% | even |
| Utilities & infrastructure | 1 | 1% | 3 | 3% | even |
| Hospitality & travel | – | – | 4 | 4% | outside top 12 |
| Automotive | – | – | 3 | 3% | outside top 12 |
| Transport, logistics & rental | – | – | 2 | 2% | outside top 12 |
| Health care | – | – | 1 | 1% | outside top 12 |
| Segment | Apache Storm | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| United States | 88 | 70% | 70 | 64% | Apache Storm |
| Canada | 5 | 4% | – | – | outside top 12 |
| United Kingdom | 5 | 4% | 9 | 8% | Kafka Streams |
| France | 4 | 3% | 2 | 2% | even |
| Germany | 3 | 2% | 4 | 4% | even |
| Poland | 3 | 2% | 2 | 2% | even |
| China | 2 | 2% | – | – | outside top 12 |
| India | 2 | 2% | 4 | 4% | Kafka Streams |
| Netherlands | 2 | 2% | – | – | outside top 12 |
| Singapore | 2 | 2% | – | – | outside top 12 |
| United Arab Emirates | 1 | 1% | 1 | 1% | even |
| BD | 1 | 1% | – | – | outside top 12 |
| Australia | – | – | 3 | 3% | outside top 12 |
| Brazil | – | – | 2 | 2% | outside top 12 |
| Japan | – | – | 2 | 2% | outside top 12 |
| Sweden | – | – | 2 | 2% | outside top 12 |
| Austria | – | – | 1 | 1% | outside top 12 |
| Segment | Apache Storm | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 304 | 43% | 106 | 29% | Apache Storm |
| Engineering (non-software) | 146 | 21% | 13 | 4% | Apache Storm |
| Software engineering | 138 | 20% | 191 | 52% | Kafka Streams |
| Construction and civil | 19 | 3% | – | – | outside top 12 |
| IT operations & business systems | 16 | 2% | 11 | 3% | even |
| Product, program & project management | 13 | 2% | 1 | 0% | even |
| Administration & office | 1 | 0% | – | – | outside top 12 |
| Design & UX | 1 | 0% | – | – | outside top 12 |
| Research and science | 1 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 3 | 1% | outside top 12 |
The companies behind each column
Companies using Apache Storm →
Companies using Kafka Streams →
distributed processing ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Kafka Streams is named by 109 companies in job postings and Apache Storm by 125; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-storm-vs-kafka-streams)
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 Storm vs Kafka Streams: questions
Which is more used, Apache Storm or Kafka Streams?
By companies naming it in their own job postings, Apache Storm (125) over Kafka Streams (109). By website-and-DNS footprint, Kafka Streams (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Storm?
40% of Apache Storm companies have 2 to 200 employees, against 32% for Kafka Streams. 37% of Apache Storm companies have over 1,000 employees, against 39% for Kafka Streams.
Do companies run both?
0 companies name both in their postings, usually Apache Storm in marketing and Kafka Streams 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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