Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEApache Spark VS Google Cloud Dataflow_
As of 4 November 2026, Google Cloud Dataflow is named by 490 companies and Apache Spark by 4,705; Apache Spark skews to companies under 200 people (42% vs 38%), Google Cloud Dataflow to companies over 1,000 (40% vs 33%).
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: Apache Spark's script and mail records show on hundreds of thousands of small sites, Google Cloud Dataflow rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Spark: 2–200 employees
- 42%
- Google Cloud Dataflow: 2–200 employees
- 38%
- Apache Spark: 1,000+ employees
- 33%
- Google Cloud Dataflow: 1,000+ employees
- 40%
- Postings per company, 90 days
- 3.7 · 3.4
- 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 | Apache Spark | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 155 | 3% | 9 | 2% | even |
| 2-10 employees | 396 | 8% | 28 | 6% | Apache Spark |
| 11-50 employees | 644 | 14% | 60 | 12% | even |
| 51-200 employees | 933 | 20% | 96 | 20% | even |
| 201-500 employees | 624 | 13% | 64 | 13% | even |
| 501-1000 employees | 413 | 9% | 39 | 8% | even |
| 1001-5000 employees | 722 | 15% | 81 | 17% | even |
| 5001-10000 employees | 234 | 5% | 27 | 6% | even |
| 10,001+ employees | 584 | 12% | 86 | 18% | Google Cloud Dataflow |
| Segment | Apache Spark | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 2,352 | 50% | 239 | 49% | even |
| Business & finance services | 1,017 | 22% | 114 | 23% | even |
| Manufacturing & industry | 334 | 7% | 27 | 6% | even |
| Media & content | 188 | 4% | 19 | 4% | even |
| Commerce & trade | 146 | 3% | 26 | 5% | Google Cloud Dataflow |
| Consumer services & leisure | 141 | 3% | 14 | 3% | even |
| Utilities & infrastructure | 119 | 3% | 15 | 3% | even |
| Public, community & associations | 112 | 2% | 8 | 2% | even |
| Health care | 75 | 2% | 8 | 2% | even |
| Property & construction | 66 | 1% | 5 | 1% | even |
| Transport, logistics & rental | 62 | 1% | 6 | 1% | even |
| Automotive | 51 | 1% | 5 | 1% | even |
| Segment | Apache Spark | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| United States | 2,807 | 60% | 268 | 55% | Apache Spark |
| United Kingdom | 307 | 7% | 31 | 6% | even |
| Germany | 176 | 4% | 17 | 3% | even |
| India | 156 | 3% | 23 | 5% | even |
| France | 142 | 3% | 19 | 4% | even |
| Canada | 111 | 2% | 17 | 3% | even |
| Brazil | 77 | 2% | 10 | 2% | even |
| Australia | 59 | 1% | 7 | 1% | even |
| Spain | 53 | 1% | 7 | 1% | even |
| Netherlands | 52 | 1% | – | – | outside top 12 |
| Sweden | 47 | 1% | 11 | 2% | even |
| Singapore | 42 | 1% | – | – | outside top 12 |
| Poland | – | – | 10 | 2% | outside top 12 |
| Japan | – | – | 5 | 1% | outside top 12 |
| Segment | Apache Spark | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 15,441 | 64% | 1,296 | 59% | Apache Spark |
| Software engineering | 4,243 | 18% | 304 | 14% | Apache Spark |
| IT operations & business systems | 748 | 3% | 106 | 5% | even |
| Sales | 407 | 2% | 13 | 1% | even |
| Product, program & project management | 332 | 1% | 18 | 1% | even |
| Engineering (non-software) | 128 | 1% | 7 | 0% | even |
| General management & consulting | 91 | 0% | 3 | 0% | even |
| Customer service & success | 75 | 0% | 4 | 0% | even |
| Marketing & communications | 74 | 0% | 7 | 0% | even |
| Finance & accounting | 71 | 0% | 9 | 0% | even |
| Legal, compliance & risk | 71 | 0% | 1 | 0% | even |
| Unclassified | 49 | 0% | 5 | 0% | even |
| Education & training | 33 | 0% | 4 | 0% | even |
| Quality, safety & environment | 25 | 0% | 1 | 0% | even |
| Business development & strategy | 24 | 0% | – | – | outside top 12 |
| logistics warehouse and transport | 24 | 0% | 2 | 0% | even |
| research and science | 24 | 0% | – | – | outside top 12 |
| Human resources | 20 | 0% | 8 | 0% | even |
| construction and civil | 17 | 0% | 1 | 0% | even |
| social care and community | 16 | 0% | – | – | outside top 12 |
| Design & UX | 14 | 0% | – | – | outside top 12 |
| arts media and entertainment | 10 | 0% | 3 | 0% | even |
| procurement and purchasing | 9 | 0% | – | – | outside top 12 |
| healthcare clinical | 8 | 0% | 90 | 4% | Google Cloud Dataflow |
| skilled trades and field service | 8 | 0% | 1 | 0% | even |
| healthcare support and caregiving | 7 | 0% | – | – | outside top 12 |
| Retail & store operations | 6 | 0% | 3 | 0% | even |
| Administration & office | 5 | 0% | 1 | 0% | even |
| real estate and property | 5 | 0% | 2 | 0% | even |
| hospitality and food service | 4 | 0% | 2 | 0% | even |
| agriculture and environment | – | – | 1 | 0% | outside top 12 |
| manufacturing and production | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Spark →
Companies using Google Cloud Dataflow →
distributed processing ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Google Cloud Dataflow is named by 490 companies in job postings and Apache Spark by 4,705; 328 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/apache-spark-vs-google-cloud-dataflow)
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 Spark vs Google Cloud Dataflow: questions
Which is more used, Apache Spark or Google Cloud Dataflow?
By companies naming it in their own job postings, Apache Spark (4,705) over Google Cloud Dataflow (490). By website-and-DNS footprint, Google Cloud Dataflow (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Spark?
42% of Apache Spark companies have 2 to 200 employees, against 38% for Google Cloud Dataflow. 33% of Apache Spark companies have over 1,000 employees, against 40% for Google Cloud Dataflow.
Do companies run both?
328 companies name both in their postings, usually Apache Spark in marketing and Google Cloud Dataflow 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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