Apache Parquet VS Web Ontology Language
As of 30 October 2026, Web Ontology Language is named by 154 companies and Apache Parquet by 506; Apache Parquet skews to companies under 200 people (42% vs 39%), Web Ontology Language to companies over 1,000 (39% 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: Apache Parquet's script and mail records show on hundreds of thousands of small sites, Web Ontology Language rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Apache Parquet: 2–200 employees
- 42%
- Web Ontology Language: 2–200 employees
- 39%
- Apache Parquet: 1,000+ employees
- 32%
- Web Ontology Language: 1,000+ employees
- 39%
- Postings per company, 90 days
- 2.0 · 3.0
- 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 Parquet | share | Web Ontology Language | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 7 | 1% | – | – | outside top 12 |
| 2-10 employees | 37 | 7% | 16 | 10% | Web Ontology Language |
| 11-50 employees | 60 | 12% | 25 | 16% | Web Ontology Language |
| 51-200 employees | 117 | 23% | 19 | 12% | Apache Parquet |
| 201-500 employees | 65 | 13% | 24 | 16% | Web Ontology Language |
| 501-1000 employees | 58 | 11% | 10 | 6% | Apache Parquet |
| 1001-5000 employees | 68 | 13% | 27 | 18% | Web Ontology Language |
| 5001-10000 employees | 26 | 5% | 7 | 5% | even |
| 10,001+ employees | 68 | 13% | 26 | 17% | Web Ontology Language |
| Segment | Apache Parquet | share | Web Ontology Language | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 261 | 52% | 77 | 50% | even |
| Business & finance services | 112 | 22% | 22 | 14% | Apache Parquet |
| Manufacturing & industry | 46 | 9% | 15 | 10% | even |
| Public, community & associations | 25 | 5% | 13 | 8% | Web Ontology Language |
| Media & content | 12 | 2% | 7 | 5% | Web Ontology Language |
| Utilities & infrastructure | 9 | 2% | 3 | 2% | even |
| Commerce & trade | 8 | 2% | 2 | 1% | even |
| Automotive | 7 | 1% | 1 | 1% | even |
| Consumer services & leisure | 7 | 1% | 5 | 3% | even |
| Transport, logistics & rental | 5 | 1% | 2 | 1% | even |
| Health care | 4 | 1% | 2 | 1% | even |
| Property & construction | 4 | 1% | 4 | 3% | even |
| Segment | Apache Parquet | share | Web Ontology Language | share | Leans |
|---|---|---|---|---|---|
| United States | 341 | 67% | 69 | 45% | Apache Parquet |
| United Kingdom | 31 | 6% | 13 | 8% | Web Ontology Language |
| Germany | 22 | 4% | 29 | 19% | Web Ontology Language |
| France | 15 | 3% | 4 | 3% | even |
| India | 14 | 3% | 4 | 3% | even |
| Canada | 13 | 3% | 2 | 1% | even |
| Australia | 5 | 1% | – | – | outside top 12 |
| Netherlands | 5 | 1% | – | – | outside top 12 |
| Poland | 5 | 1% | 3 | 2% | even |
| Brazil | 4 | 1% | – | – | outside top 12 |
| Switzerland | 4 | 1% | 2 | 1% | even |
| Italy | 4 | 1% | – | – | outside top 12 |
| United Arab Emirates | – | – | 3 | 2% | outside top 12 |
| Belgium | – | – | 3 | 2% | outside top 12 |
| Singapore | – | – | 3 | 2% | outside top 12 |
| BD | – | – | 2 | 1% | outside top 12 |
| Segment | Apache Parquet | share | Web Ontology Language | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 869 | 64% | 242 | 44% | Apache Parquet |
| Software engineering | 293 | 22% | 91 | 16% | Apache Parquet |
| IT operations & business systems | 22 | 2% | 24 | 4% | Web Ontology Language |
| Engineering (non-software) | 16 | 1% | 4 | 1% | even |
| Product, program & project management | 8 | 1% | 4 | 1% | even |
| General management & consulting | 7 | 1% | 6 | 1% | even |
| Sales | 7 | 1% | – | – | outside top 12 |
| Finance & accounting | 6 | 0% | 8 | 1% | even |
| Customer service & success | 4 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | 3 | 0% | – | – | outside top 12 |
| Skilled trades and field service | 3 | 0% | 8 | 1% | even |
| Administration & office | 1 | 0% | – | – | outside top 12 |
| Research and science | – | – | 8 | 1% | outside top 12 |
| Healthcare clinical | – | – | 5 | 1% | outside top 12 |
| Logistics warehouse and transport | – | – | 5 | 1% | outside top 12 |
| Marketing & communications | – | – | 4 | 1% | outside top 12 |
The companies behind each column
Companies using Apache Parquet →
Companies using Web Ontology Language →
api specs data formats ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Web Ontology Language is named by 154 companies in job postings and Apache Parquet by 506; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/apache-parquet-vs-owl)
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 Parquet vs Web Ontology Language: questions
Which is more used, Apache Parquet or Web Ontology Language?
By companies naming it in their own job postings, Apache Parquet (506) over Web Ontology Language (154). By website-and-DNS footprint, Web Ontology Language (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Apache Parquet?
42% of Apache Parquet companies have 2 to 200 employees, against 39% for Web Ontology Language. 32% of Apache Parquet companies have over 1,000 employees, against 39% for Web Ontology Language.
Do companies run both?
0 companies name both in their postings, usually Apache Parquet in marketing and Web Ontology Language 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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