Spark Streaming VS Kafka Streams
As of 30 October 2026, Kafka Streams is named by 109 companies and Spark Streaming by 237; Spark Streaming skews to companies under 200 people (42% vs 32%), Kafka Streams to companies over 1,000 (39% vs 32%).
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: Spark Streaming'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.
- Spark Streaming: 2–200 employees
- 42%
- Kafka Streams: 2–200 employees
- 32%
- Spark Streaming: 1,000+ employees
- 32%
- Kafka Streams: 1,000+ employees
- 39%
- Postings per company, 90 days
- 2.2 · 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 | Spark Streaming | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 0% | – | – | outside top 12 |
| 2-10 employees | 19 | 8% | 6 | 6% | Spark Streaming |
| 11-50 employees | 22 | 9% | 10 | 9% | even |
| 51-200 employees | 59 | 25% | 19 | 17% | Spark Streaming |
| 201-500 employees | 40 | 17% | 14 | 13% | Spark Streaming |
| 501-1000 employees | 21 | 9% | 17 | 16% | Kafka Streams |
| 1001-5000 employees | 29 | 12% | 15 | 14% | even |
| 5001-10000 employees | 13 | 5% | 9 | 8% | Kafka Streams |
| 10,001+ employees | 33 | 14% | 19 | 17% | Kafka Streams |
| Segment | Spark Streaming | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 138 | 58% | 61 | 56% | Spark Streaming |
| Business & finance services | 49 | 21% | 22 | 20% | even |
| Media & content | 12 | 5% | 2 | 2% | Spark Streaming |
| Manufacturing & industry | 7 | 3% | 6 | 6% | Kafka Streams |
| Utilities & infrastructure | 6 | 3% | 3 | 3% | even |
| Commerce & trade | 5 | 2% | 4 | 4% | even |
| Automotive | 4 | 2% | 3 | 3% | even |
| Public, community & associations | 4 | 2% | – | – | outside top 12 |
| Consumer services & leisure | 4 | 2% | 1 | 1% | even |
| Health care | 2 | 1% | 1 | 1% | even |
| Property & construction | 2 | 1% | – | – | outside top 12 |
| Transport, logistics & rental | 2 | 1% | 2 | 2% | even |
| Hospitality & travel | – | – | 4 | 4% | outside top 12 |
| Segment | Spark Streaming | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| United States | 154 | 65% | 70 | 64% | even |
| United Kingdom | 13 | 5% | 9 | 8% | Kafka Streams |
| Germany | 12 | 5% | 4 | 4% | even |
| India | 10 | 4% | 4 | 4% | even |
| Canada | 4 | 2% | – | – | outside top 12 |
| Spain | 4 | 2% | – | – | outside top 12 |
| Poland | 4 | 2% | 2 | 2% | even |
| Singapore | 4 | 2% | – | – | outside top 12 |
| Brazil | 3 | 1% | 2 | 2% | even |
| France | 3 | 1% | 2 | 2% | even |
| Italy | 3 | 1% | – | – | outside top 12 |
| United Arab Emirates | 2 | 1% | 1 | 1% | even |
| Australia | – | – | 3 | 3% | outside top 12 |
| Japan | – | – | 2 | 2% | outside top 12 |
| Sweden | – | – | 2 | 2% | outside top 12 |
| Austria | – | – | 1 | 1% | outside top 12 |
| Segment | Spark Streaming | share | Kafka Streams | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 563 | 72% | 106 | 29% | Spark Streaming |
| Software engineering | 119 | 15% | 191 | 52% | Kafka Streams |
| IT operations & business systems | 22 | 3% | 11 | 3% | even |
| Engineering (non-software) | 3 | 0% | 13 | 4% | Kafka Streams |
| Product, program & project management | 2 | 0% | 1 | 0% | even |
| Construction and civil | 1 | 0% | – | – | outside top 12 |
| General management & consulting | 1 | 0% | – | – | outside top 12 |
| Human resources | 1 | 0% | – | – | outside top 12 |
| Unclassified | 1 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 3 | 1% | outside top 12 |
The companies behind each column
Companies using Spark Streaming →
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 Spark Streaming by 237; 25 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-spark-streaming-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.
Spark Streaming vs Kafka Streams: questions
Which is more used, Spark Streaming or Kafka Streams?
By companies naming it in their own job postings, Spark Streaming (237) 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 Spark Streaming?
42% of Spark Streaming companies have 2 to 200 employees, against 32% for Kafka Streams. 32% of Spark Streaming companies have over 1,000 employees, against 39% for Kafka Streams.
Do companies run both?
25 companies name both in their postings, usually Spark Streaming 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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