Shipvane · 4 AE roles
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Fleetora · first roles in DEApache Hive VS Google Cloud Dataflow_
As of 4 November 2026, Google Cloud Dataflow is named by 490 companies and Apache Hive by 844; Apache Hive skews to companies under 200 people (41% vs 38%), Google Cloud Dataflow to companies over 1,000 (40% vs 37%).
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 Hive'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 Hive: 2–200 employees
- 41%
- Google Cloud Dataflow: 2–200 employees
- 38%
- Apache Hive: 1,000+ employees
- 37%
- Google Cloud Dataflow: 1,000+ employees
- 40%
- Postings per company, 90 days
- 2.8 · 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 Hive | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 26 | 3% | 9 | 2% | even |
| 2-10 employees | 52 | 6% | 28 | 6% | even |
| 11-50 employees | 124 | 15% | 60 | 12% | Apache Hive |
| 51-200 employees | 171 | 20% | 96 | 20% | even |
| 201-500 employees | 92 | 11% | 64 | 13% | Google Cloud Dataflow |
| 501-1000 employees | 69 | 8% | 39 | 8% | even |
| 1001-5000 employees | 124 | 15% | 81 | 17% | even |
| 5001-10000 employees | 49 | 6% | 27 | 6% | even |
| 10,001+ employees | 137 | 16% | 86 | 18% | even |
| Segment | Apache Hive | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 434 | 51% | 239 | 49% | Apache Hive |
| Business & finance services | 198 | 23% | 114 | 23% | even |
| Manufacturing & industry | 51 | 6% | 27 | 6% | even |
| Media & content | 37 | 4% | 19 | 4% | even |
| Consumer services & leisure | 29 | 3% | 14 | 3% | even |
| Utilities & infrastructure | 21 | 2% | 15 | 3% | even |
| Commerce & trade | 20 | 2% | 26 | 5% | Google Cloud Dataflow |
| Public, community & associations | 15 | 2% | 8 | 2% | even |
| Transport, logistics & rental | 9 | 1% | 6 | 1% | even |
| Health care | 8 | 1% | 8 | 2% | even |
| Hospitality & travel | 8 | 1% | – | – | outside top 12 |
| Automotive | 7 | 1% | 5 | 1% | even |
| Property & construction | – | – | 5 | 1% | outside top 12 |
| Segment | Apache Hive | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| United States | 507 | 60% | 268 | 55% | Apache Hive |
| India | 45 | 5% | 23 | 5% | even |
| United Kingdom | 41 | 5% | 31 | 6% | even |
| France | 29 | 3% | 19 | 4% | even |
| Brazil | 16 | 2% | 10 | 2% | even |
| Singapore | 15 | 2% | – | – | outside top 12 |
| Canada | 12 | 1% | 17 | 3% | Google Cloud Dataflow |
| Spain | 12 | 1% | 7 | 1% | even |
| Germany | 11 | 1% | 17 | 3% | Google Cloud Dataflow |
| Italy | 8 | 1% | – | – | outside top 12 |
| United Arab Emirates | 7 | 1% | – | – | outside top 12 |
| Switzerland | 7 | 1% | – | – | outside top 12 |
| Sweden | – | – | 11 | 2% | outside top 12 |
| Poland | – | – | 10 | 2% | outside top 12 |
| Australia | – | – | 7 | 1% | outside top 12 |
| Japan | – | – | 5 | 1% | outside top 12 |
| Segment | Apache Hive | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 2,565 | 64% | 1,296 | 59% | Apache Hive |
| Software engineering | 634 | 16% | 304 | 14% | even |
| IT operations & business systems | 164 | 4% | 106 | 5% | even |
| Product, program & project management | 43 | 1% | 18 | 1% | even |
| General management & consulting | 30 | 1% | 3 | 0% | even |
| Legal, compliance & risk | 26 | 1% | 1 | 0% | even |
| Engineering (non-software) | 25 | 1% | 7 | 0% | even |
| Sales | 24 | 1% | 13 | 1% | even |
| Business development & strategy | 14 | 0% | – | – | outside top 12 |
| Marketing & communications | 14 | 0% | 7 | 0% | even |
| Customer service & success | 12 | 0% | 4 | 0% | even |
| construction and civil | 10 | 0% | 1 | 0% | even |
| Finance & accounting | 7 | 0% | 9 | 0% | even |
| research and science | 6 | 0% | – | – | outside top 12 |
| Unclassified | 5 | 0% | 5 | 0% | even |
| logistics warehouse and transport | 4 | 0% | 2 | 0% | even |
| Education & training | 2 | 0% | 4 | 0% | even |
| hospitality and food service | 2 | 0% | 2 | 0% | even |
| Quality, safety & environment | 2 | 0% | 1 | 0% | even |
| Travel, leisure & events | 2 | 0% | – | – | outside top 12 |
| Administration & office | 1 | 0% | 1 | 0% | even |
| arts media and entertainment | 1 | 0% | 3 | 0% | even |
| healthcare clinical | 1 | 0% | 90 | 4% | Google Cloud Dataflow |
| Human resources | 1 | 0% | 8 | 0% | even |
| manufacturing and production | 1 | 0% | 1 | 0% | even |
| procurement and purchasing | 1 | 0% | – | – | outside top 12 |
| Retail & store operations | 1 | 0% | 3 | 0% | even |
| skilled trades and field service | 1 | 0% | 1 | 0% | even |
| real estate and property | – | – | 2 | 0% | outside top 12 |
| agriculture and environment | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Hive →
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 Hive by 844; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/apache-hive-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 Hive vs Google Cloud Dataflow: questions
Which is more used, Apache Hive or Google Cloud Dataflow?
By companies naming it in their own job postings, Apache Hive (844) 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 Hive?
41% of Apache Hive companies have 2 to 200 employees, against 38% for Google Cloud Dataflow. 37% of Apache Hive companies have over 1,000 employees, against 40% for Google Cloud Dataflow.
Do companies run both?
0 companies name both in their postings, usually Apache Hive 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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