Apache Pig VS Google Cloud Dataflow
As of 30 October 2026, Google Cloud Dataflow is named by 362 companies and Apache Pig by 121; Apache Pig skews to companies under 200 people (54% vs 38%), Google Cloud Dataflow to companies over 1,000 (38% vs 26%).
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: Apache Pig'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 Pig: 2–200 employees
- 54%
- Google Cloud Dataflow: 2–200 employees
- 38%
- Apache Pig: 1,000+ employees
- 26%
- Google Cloud Dataflow: 1,000+ employees
- 38%
- Postings per company, 90 days
- 1.8 · 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 | Apache Pig | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 4 | 3% | 3 | 1% | Apache Pig |
| 2-10 employees | 4 | 3% | 20 | 6% | Google Cloud Dataflow |
| 11-50 employees | 27 | 22% | 44 | 12% | Apache Pig |
| 51-200 employees | 34 | 28% | 72 | 20% | Apache Pig |
| 201-500 employees | 11 | 9% | 55 | 15% | Google Cloud Dataflow |
| 501-1000 employees | 9 | 7% | 30 | 8% | even |
| 1001-5000 employees | 13 | 11% | 57 | 16% | Google Cloud Dataflow |
| 5001-10000 employees | 2 | 2% | 19 | 5% | Google Cloud Dataflow |
| 10,001+ employees | 17 | 14% | 62 | 17% | Google Cloud Dataflow |
| Segment | Apache Pig | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 77 | 64% | 186 | 51% | Apache Pig |
| Business & finance services | 20 | 17% | 76 | 21% | Google Cloud Dataflow |
| Manufacturing & industry | 12 | 10% | 21 | 6% | Apache Pig |
| Consumer services & leisure | 4 | 3% | 11 | 3% | even |
| Public, community & associations | 3 | 2% | 6 | 2% | even |
| Health care | 1 | 1% | 5 | 1% | even |
| Hospitality & travel | 1 | 1% | – | – | outside top 12 |
| Media & content | 1 | 1% | 11 | 3% | Google Cloud Dataflow |
| Transport, logistics & rental | 1 | 1% | 3 | 1% | even |
| Utilities & infrastructure | 1 | 1% | 15 | 4% | Google Cloud Dataflow |
| Commerce & trade | – | – | 21 | 6% | outside top 12 |
| Property & construction | – | – | 4 | 1% | outside top 12 |
| Automotive | – | – | 2 | 1% | outside top 12 |
| Segment | Apache Pig | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| United States | 85 | 70% | 209 | 58% | Apache Pig |
| United Kingdom | 6 | 5% | 30 | 8% | Google Cloud Dataflow |
| France | 5 | 4% | 16 | 4% | even |
| India | 4 | 3% | 15 | 4% | even |
| Belgium | 2 | 2% | 4 | 1% | even |
| Canada | 2 | 2% | 10 | 3% | even |
| Switzerland | 2 | 2% | – | – | outside top 12 |
| Germany | 2 | 2% | 13 | 4% | even |
| Italy | 2 | 2% | – | – | outside top 12 |
| Singapore | 2 | 2% | – | – | outside top 12 |
| Australia | 1 | 1% | 5 | 1% | even |
| Colombia | 1 | 1% | – | – | outside top 12 |
| Sweden | – | – | 10 | 3% | outside top 12 |
| Spain | – | – | 6 | 2% | outside top 12 |
| Poland | – | – | 6 | 2% | outside top 12 |
| Brazil | – | – | 4 | 1% | outside top 12 |
| Segment | Apache Pig | share | Google Cloud Dataflow | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 589 | 69% | 1,141 | 64% | Apache Pig |
| Software engineering | 134 | 16% | 266 | 15% | even |
| IT operations & business systems | 18 | 2% | 87 | 5% | Google Cloud Dataflow |
| Engineering (non-software) | 4 | 0% | 4 | 0% | even |
| Education & training | 2 | 0% | 2 | 0% | even |
| Marketing & communications | 2 | 0% | – | – | outside top 12 |
| Product, program & project management | 2 | 0% | 14 | 1% | even |
| Legal, compliance & risk | 1 | 0% | – | – | outside top 12 |
| Research and science | 1 | 0% | – | – | outside top 12 |
| Sales | 1 | 0% | 13 | 1% | even |
| Unclassified | 1 | 0% | 2 | 0% | even |
| Healthcare clinical | – | – | 29 | 2% | outside top 12 |
| Finance & accounting | – | – | 6 | 0% | outside top 12 |
| Customer service & success | – | – | 4 | 0% | outside top 12 |
| Human resources | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Apache Pig →
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 Apache Pig by 121; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-pig-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 Pig vs Google Cloud Dataflow: questions
Which is more used, Apache Pig or Google Cloud Dataflow?
By companies naming it in their own job postings, Google Cloud Dataflow (362) over Apache Pig (121). 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 Pig?
54% of Apache Pig companies have 2 to 200 employees, against 38% for Google Cloud Dataflow. 26% of Apache Pig companies have over 1,000 employees, against 38% for Google Cloud Dataflow.
Do companies run both?
0 companies name both in their postings, usually Apache Pig 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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