Compare · data science platforms notebooks

Jupyter VS Palantir_

As of 4 November 2026, Palantir is named by 214 companies and Jupyter by 703; Jupyter skews to companies under 200 people (41% vs 42%), Palantir to companies over 1,000 (36% vs 34%).

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: Jupyter's script and mail records show on hundreds of thousands of small sites, Palantir rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

Jupyter: 2–200 employees
41%
Palantir: 2–200 employees
42%
Jupyter: 1,000+ employees
34%
Palantir: 1,000+ employees
36%
Postings per company, 90 days
1.9 · 4.9
Website or DNS footprint
0 · 0
703companies name Jupyter
214companies name Palantir
0name both
1,326 · 1,041postings in 90 days, Jupyter · Palantir
02 — Side by side

Who chooses which

Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.

By company size
SegmentJupytersharePalantirshareLeans
Self-employed284%84%even
2-10 employees517%199%even
11-50 employees10315%2713%Jupyter
51-200 employees13219%4320%even
201-500 employees8312%3516%Palantir
501-1000 employees6910%63%Jupyter
1001-5000 employees9814%2311%Jupyter
5001-10000 employees264%94%even
10,001+ employees11316%4421%Palantir
By industry
SegmentJupytersharePalantirshareLeans
Technology & software31044%8540%Jupyter
Business & finance services13920%4621%even
Manufacturing & industry649%4019%Palantir
Consumer services & leisure426%63%Jupyter
Public, community & associations396%31%Jupyter
Media & content314%105%even
Utilities & infrastructure213%52%even
Commerce & trade193%31%even
Transport, logistics & rental101%10%even
Automotive81%94%Palantir
Health care61%21%even
Hospitality & travel51%––outside top 12
Property & construction––42%outside top 12
By country
SegmentJupytersharePalantirshareLeans
United States45164%17481%Palantir
United Kingdom487%84%Jupyter
Germany325%31%Jupyter
France213%42%even
Canada152%52%even
India132%––outside top 12
Singapore91%––outside top 12
Spain81%––outside top 12
Italy61%––outside top 12
Netherlands61%––outside top 12
Poland61%––outside top 12
Sweden61%––outside top 12
Australia––21%outside top 12
Switzerland––21%outside top 12
Austria––10%outside top 12
BD––10%outside top 12
Brazil––10%outside top 12
Denmark––10%outside top 12
Japan––10%outside top 12
Postings by team (share of each tool's postings)
SegmentJupytersharePalantirshareLeans
Data & AI90451%44835%Jupyter
Software engineering22913%16413%even
IT operations & business systems885%705%even
Engineering (non-software)794%232%Jupyter
research and science352%10%even
Sales292%423%even
Finance & accounting272%443%even
Product, program & project management241%333%even
Education & training221%81%even
Legal, compliance & risk221%71%even
Customer service & success141%50%even
Marketing & communications121%60%even
General management & consulting111%212%even
Unclassified80%20%even
arts media and entertainment40%––outside top 12
Business development & strategy40%50%even
Design & UX40%––outside top 12
construction and civil30%––outside top 12
Quality, safety & environment30%91%even
logistics warehouse and transport10%131%even
public safety and protective services––14912%outside top 12
procurement and purchasing––40%outside top 12
Human resources––20%outside top 12
skilled trades and field service––20%outside top 12
Administration & office––10%outside top 12
manufacturing and production––10%outside top 12
Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

Palantir is named by 214 companies in job postings and Jupyter by 703; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/jupyter-vs-palantir)
How we know

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.
FAQ

Jupyter vs Palantir: questions

Which is more used, Jupyter or Palantir?

By companies naming it in their own job postings, Jupyter (703) over Palantir (214). By website-and-DNS footprint, Palantir (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses Jupyter?

41% of Jupyter companies have 2 to 200 employees, against 42% for Palantir. 34% of Jupyter companies have over 1,000 employees, against 36% for Palantir.

Do companies run both?

0 companies name both in their postings, usually Jupyter in marketing and Palantir 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.

Companies and people

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 Jupyter or Palantir, and get 1,000 records free.

  1. 01Sign up, no card
  2. 02Connect Claude, ChatGPT or an API key
  3. 03Ask for your market, 1,000 records free