Dask VS Google Cloud Dataflow
As of 30 October 2026, Google Cloud Dataflow is named by 362 companies and Dask by 137; Dask skews to companies under 200 people (50% vs 38%), Google Cloud Dataflow to companies over 1,000 (38% vs 25%).
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: Dask'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.
- Dask: 2–200 employees
- 50%
- Google Cloud Dataflow: 2–200 employees
- 38%
- Dask: 1,000+ employees
- 25%
- Google Cloud Dataflow: 1,000+ employees
- 38%
- Postings per company, 90 days
- 1.6 · 3.6
- 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 | Dask | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 7 | 5% | 3 | 1% | Dask |
| 2-10 employees | 21 | 15% | 20 | 6% | Dask |
| 11-50 employees | 21 | 15% | 44 | 12% | Dask |
| 51-200 employees | 26 | 19% | 72 | 20% | even |
| 201-500 employees | 16 | 12% | 55 | 15% | Google Cloud Dataflow |
| 501-1000 employees | 12 | 9% | 30 | 8% | even |
| 1001-5000 employees | 15 | 11% | 57 | 16% | Google Cloud Dataflow |
| 5001-10000 employees | 7 | 5% | 19 | 5% | even |
| 10,001+ employees | 12 | 9% | 62 | 17% | Google Cloud Dataflow |
| Segment | Dask | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 70 | 51% | 186 | 51% | even |
| Business & finance services | 36 | 26% | 76 | 21% | Dask |
| Public, community & associations | 13 | 9% | 6 | 2% | Dask |
| Manufacturing & industry | 10 | 7% | 21 | 6% | even |
| Media & content | 4 | 3% | 11 | 3% | even |
| Utilities & infrastructure | 3 | 2% | 15 | 4% | even |
| Agriculture & forestry | 1 | 1% | – | – | outside top 12 |
| Commerce & trade | – | – | 21 | 6% | outside top 12 |
| Consumer services & leisure | – | – | 11 | 3% | outside top 12 |
| Health care | – | – | 5 | 1% | outside top 12 |
| Property & construction | – | – | 4 | 1% | outside top 12 |
| Transport, logistics & rental | – | – | 3 | 1% | outside top 12 |
| Automotive | – | – | 2 | 1% | outside top 12 |
| Segment | Dask | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| United States | 98 | 72% | 209 | 58% | Dask |
| United Kingdom | 10 | 7% | 30 | 8% | even |
| Germany | 5 | 4% | 13 | 4% | even |
| France | 4 | 3% | 16 | 4% | even |
| Australia | 3 | 2% | 5 | 1% | even |
| United Arab Emirates | 2 | 1% | – | – | outside top 12 |
| Canada | 2 | 1% | 10 | 3% | even |
| Italy | 2 | 1% | – | – | outside top 12 |
| Sweden | 2 | 1% | 10 | 3% | even |
| Singapore | 2 | 1% | – | – | outside top 12 |
| Belgium | 1 | 1% | 4 | 1% | even |
| Switzerland | 1 | 1% | – | – | outside top 12 |
| India | – | – | 15 | 4% | outside top 12 |
| Spain | – | – | 6 | 2% | outside top 12 |
| Poland | – | – | 6 | 2% | outside top 12 |
| Brazil | – | – | 4 | 1% | outside top 12 |
| Segment | Dask | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 201 | 57% | 1,141 | 64% | Google Cloud Dataflow |
| Software engineering | 85 | 24% | 266 | 15% | Dask |
| IT operations & business systems | 7 | 2% | 87 | 5% | Google Cloud Dataflow |
| Finance & accounting | 4 | 1% | 6 | 0% | even |
| Customer service & success | 2 | 1% | 4 | 0% | even |
| Marketing & communications | 2 | 1% | – | – | outside top 12 |
| Research and science | 2 | 1% | – | – | outside top 12 |
| Education & training | 1 | 0% | 2 | 0% | even |
| Engineering (non-software) | 1 | 0% | 4 | 0% | even |
| Legal, compliance & risk | 1 | 0% | – | – | outside top 12 |
| Product, program & project management | 1 | 0% | 14 | 1% | even |
| Unclassified | 1 | 0% | 2 | 0% | even |
| Healthcare clinical | – | – | 29 | 2% | outside top 12 |
| Sales | – | – | 13 | 1% | outside top 12 |
| Human resources | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Dask →
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 362 companies in job postings and Dask by 137; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/dask-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.
Dask vs Google Cloud Dataflow: questions
Which is more used, Dask or Google Cloud Dataflow?
By companies naming it in their own job postings, Google Cloud Dataflow (362) over Dask (137). 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 Dask?
50% of Dask companies have 2 to 200 employees, against 38% for Google Cloud Dataflow. 25% of Dask companies have over 1,000 employees, against 38% for Google Cloud Dataflow.
Do companies run both?
0 companies name both in their postings, usually Dask 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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