Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DEAVEVA PI System VS Poka_
As of 4 November 2026, Poka is named by 101 companies and AVEVA PI System by 304; AVEVA PI System skews to companies under 200 people (27% vs 15%), Poka to companies over 1,000 (71% vs 56%).
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: AVEVA PI System's script and mail records show on hundreds of thousands of small sites, Poka rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- AVEVA PI System: 2–200 employees
- 27%
- Poka: 2–200 employees
- 15%
- AVEVA PI System: 1,000+ employees
- 56%
- Poka: 1,000+ employees
- 71%
- Postings per company, 90 days
- 2.2 · 2.2
- 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 | AVEVA PI System | share | Poka | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 2 | 1% | – | – | outside top 12 |
| 2-10 employees | 14 | 5% | 3 | 3% | even |
| 11-50 employees | 24 | 8% | 4 | 4% | AVEVA PI System |
| 51-200 employees | 43 | 14% | 8 | 8% | AVEVA PI System |
| 201-500 employees | 28 | 9% | 7 | 7% | AVEVA PI System |
| 501-1000 employees | 24 | 8% | 7 | 7% | even |
| 1001-5000 employees | 71 | 23% | 21 | 21% | AVEVA PI System |
| 5001-10000 employees | 38 | 13% | 7 | 7% | AVEVA PI System |
| 10,001+ employees | 60 | 20% | 44 | 44% | Poka |
| Segment | AVEVA PI System | share | Poka | share | Leans |
|---|---|---|---|---|---|
| Manufacturing & industry | 141 | 46% | 56 | 55% | Poka |
| Utilities & infrastructure | 69 | 23% | 2 | 2% | AVEVA PI System |
| Technology & software | 33 | 11% | 4 | 4% | AVEVA PI System |
| Business & finance services | 25 | 8% | 6 | 6% | AVEVA PI System |
| Property & construction | 9 | 3% | – | – | outside top 12 |
| Public, community & associations | 6 | 2% | 1 | 1% | even |
| Media & content | 6 | 2% | 1 | 1% | even |
| Commerce & trade | 4 | 1% | 3 | 3% | even |
| Agriculture & forestry | 3 | 1% | – | – | outside top 12 |
| Automotive | 3 | 1% | 25 | 25% | Poka |
| Health care | 3 | 1% | 1 | 1% | even |
| Consumer services & leisure | 2 | 1% | 1 | 1% | even |
| Transport, logistics & rental | – | – | 1 | 1% | outside top 12 |
| Segment | AVEVA PI System | share | Poka | share | Leans |
|---|---|---|---|---|---|
| United States | 205 | 67% | 55 | 54% | AVEVA PI System |
| United Kingdom | 18 | 6% | 4 | 4% | even |
| Canada | 14 | 5% | 5 | 5% | even |
| Germany | 13 | 4% | 8 | 8% | Poka |
| Netherlands | 6 | 2% | – | – | outside top 12 |
| Brazil | 5 | 2% | – | – | outside top 12 |
| France | 5 | 2% | 3 | 3% | even |
| Ireland | 3 | 1% | – | – | outside top 12 |
| Poland | 3 | 1% | 2 | 2% | even |
| Australia | 2 | 1% | 1 | 1% | even |
| Belgium | 2 | 1% | 1 | 1% | even |
| Switzerland | 2 | 1% | – | – | outside top 12 |
| India | – | – | 5 | 5% | outside top 12 |
| Italy | – | – | 3 | 3% | outside top 12 |
| Sweden | – | – | 3 | 3% | outside top 12 |
| Denmark | – | – | 2 | 2% | outside top 12 |
| Segment | AVEVA PI System | share | Poka | share | Leans |
|---|---|---|---|---|---|
| Engineering (non-software) | 369 | 41% | 88 | 35% | AVEVA PI System |
| IT operations & business systems | 85 | 9% | – | – | outside top 12 |
| Data & AI | 67 | 7% | 2 | 1% | AVEVA PI System |
| Software engineering | 48 | 5% | 4 | 2% | AVEVA PI System |
| skilled trades and field service | 22 | 2% | 18 | 7% | Poka |
| Sales | 21 | 2% | 2 | 1% | even |
| Product, program & project management | 18 | 2% | 4 | 2% | even |
| Customer service & success | 8 | 1% | – | – | outside top 12 |
| General management & consulting | 7 | 1% | 9 | 4% | Poka |
| manufacturing and production | 7 | 1% | 40 | 16% | Poka |
| Quality, safety & environment | 6 | 1% | 30 | 12% | Poka |
| Unclassified | 3 | 0% | 1 | 0% | even |
| construction and civil | 2 | 0% | – | – | outside top 12 |
| Education & training | 2 | 0% | 6 | 2% | Poka |
| research and science | 2 | 0% | – | – | outside top 12 |
| healthcare clinical | 1 | 0% | – | – | outside top 12 |
| Human resources | 1 | 0% | – | – | outside top 12 |
| facilities cleaning and security | – | – | 7 | 3% | outside top 12 |
| Finance & accounting | – | – | 2 | 1% | outside top 12 |
| hospitality and food service | – | – | 2 | 1% | outside top 12 |
| logistics warehouse and transport | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using AVEVA PI System →
Companies using Poka →
mes industrial data ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Poka is named by 101 companies in job postings and AVEVA PI System by 304; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/osisoft-pi-vs-poka)
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.
AVEVA PI System vs Poka: questions
Which is more used, AVEVA PI System or Poka?
By companies naming it in their own job postings, AVEVA PI System (304) over Poka (101). By website-and-DNS footprint, Poka (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses AVEVA PI System?
27% of AVEVA PI System companies have 2 to 200 employees, against 15% for Poka. 56% of AVEVA PI System companies have over 1,000 employees, against 71% for Poka.
Do companies run both?
0 companies name both in their postings, usually AVEVA PI System in marketing and Poka 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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