Spark Streaming VS Google Cloud Dataflow
As of 30 October 2026, Google Cloud Dataflow is named by 362 companies and Spark Streaming by 237; Spark Streaming skews to companies under 200 people (42% vs 38%), Google Cloud Dataflow to companies over 1,000 (38% 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, Google Cloud Dataflow 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%
- Google Cloud Dataflow: 2–200 employees
- 38%
- Spark Streaming: 1,000+ employees
- 32%
- Google Cloud Dataflow: 1,000+ employees
- 38%
- Postings per company, 90 days
- 2.2 · 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 | Spark Streaming | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 1 | 0% | 3 | 1% | even |
| 2-10 employees | 19 | 8% | 20 | 6% | Spark Streaming |
| 11-50 employees | 22 | 9% | 44 | 12% | Google Cloud Dataflow |
| 51-200 employees | 59 | 25% | 72 | 20% | Spark Streaming |
| 201-500 employees | 40 | 17% | 55 | 15% | even |
| 501-1000 employees | 21 | 9% | 30 | 8% | even |
| 1001-5000 employees | 29 | 12% | 57 | 16% | Google Cloud Dataflow |
| 5001-10000 employees | 13 | 5% | 19 | 5% | even |
| 10,001+ employees | 33 | 14% | 62 | 17% | Google Cloud Dataflow |
| Segment | Spark Streaming | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 138 | 58% | 186 | 51% | Spark Streaming |
| Business & finance services | 49 | 21% | 76 | 21% | even |
| Media & content | 12 | 5% | 11 | 3% | Spark Streaming |
| Manufacturing & industry | 7 | 3% | 21 | 6% | Google Cloud Dataflow |
| Utilities & infrastructure | 6 | 3% | 15 | 4% | even |
| Commerce & trade | 5 | 2% | 21 | 6% | Google Cloud Dataflow |
| Automotive | 4 | 2% | 2 | 1% | even |
| Public, community & associations | 4 | 2% | 6 | 2% | even |
| Consumer services & leisure | 4 | 2% | 11 | 3% | even |
| Health care | 2 | 1% | 5 | 1% | even |
| Property & construction | 2 | 1% | 4 | 1% | even |
| Transport, logistics & rental | 2 | 1% | 3 | 1% | even |
| Segment | Spark Streaming | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| United States | 154 | 65% | 209 | 58% | Spark Streaming |
| United Kingdom | 13 | 5% | 30 | 8% | Google Cloud Dataflow |
| Germany | 12 | 5% | 13 | 4% | even |
| India | 10 | 4% | 15 | 4% | even |
| Canada | 4 | 2% | 10 | 3% | even |
| Spain | 4 | 2% | 6 | 2% | even |
| Poland | 4 | 2% | 6 | 2% | even |
| Singapore | 4 | 2% | – | – | outside top 12 |
| Brazil | 3 | 1% | 4 | 1% | even |
| France | 3 | 1% | 16 | 4% | Google Cloud Dataflow |
| Italy | 3 | 1% | – | – | outside top 12 |
| United Arab Emirates | 2 | 1% | – | – | outside top 12 |
| Sweden | – | – | 10 | 3% | outside top 12 |
| Australia | – | – | 5 | 1% | outside top 12 |
| Belgium | – | – | 4 | 1% | outside top 12 |
| Segment | Spark Streaming | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 563 | 72% | 1,141 | 64% | Spark Streaming |
| Software engineering | 119 | 15% | 266 | 15% | even |
| IT operations & business systems | 22 | 3% | 87 | 5% | Google Cloud Dataflow |
| Engineering (non-software) | 3 | 0% | 4 | 0% | even |
| Product, program & project management | 2 | 0% | 14 | 1% | even |
| Construction and civil | 1 | 0% | – | – | outside top 12 |
| General management & consulting | 1 | 0% | – | – | outside top 12 |
| Human resources | 1 | 0% | 3 | 0% | even |
| Unclassified | 1 | 0% | 2 | 0% | even |
| Healthcare clinical | – | – | 29 | 2% | outside top 12 |
| Sales | – | – | 13 | 1% | outside top 12 |
| Finance & accounting | – | – | 6 | 0% | outside top 12 |
| Customer service & success | – | – | 4 | 0% | outside top 12 |
| Education & training | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using Spark Streaming →
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 Spark Streaming by 237; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-spark-streaming-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.
Spark Streaming vs Google Cloud Dataflow: questions
Which is more used, Spark Streaming or Google Cloud Dataflow?
By companies naming it in their own job postings, Google Cloud Dataflow (362) over Spark Streaming (237). 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 Spark Streaming?
42% of Spark Streaming companies have 2 to 200 employees, against 38% for Google Cloud Dataflow. 32% of Spark Streaming companies have over 1,000 employees, against 38% for Google Cloud Dataflow.
Do companies run both?
0 companies name both in their postings, usually Spark Streaming 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.
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 Spark Streaming or Google Cloud Dataflow. Start free, no card.