Breaknorm
Sign inStart free

Product

SignalsPeopleCompaniesLocal businessesMCP and API

Plays

Post engagersTeam build-outChampion movedHiring surgeNewly fundedLookalikesAll plays

Data

Coverage by countryHiring dataJob changesEmail verificationCompanies by toolWho is hiringMarket mapsOutboundCompany profilesCompare
PricingDatasetsDocsSign in
Compare · storage systems

Amazon S3 VS Azure Data Lake Storage

As of 4 November 2026, Azure Data Lake Storage is named by 839 companies and Amazon S3 by 4,518; Amazon S3 skews to companies under 200 people (48% vs 31%), Azure Data Lake Storage to companies over 1,000 (46% vs 26%).

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: Amazon S3's script and mail records show on hundreds of thousands of small sites, Azure Data Lake Storage rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

Amazon S3: 2–200 employees
48%
Azure Data Lake Storage: 2–200 employees
31%
Amazon S3: 1,000+ employees
26%
Azure Data Lake Storage: 1,000+ employees
46%
Postings per company, 90 days
2.9 · 2.8
Website or DNS footprint
0 · 0
4,518companies name Amazon S3
839companies name Azure Data Lake Storage
0name both
12,902 · 2,328postings in 90 days, Amazon S3 · Azure Data Lake Storage
02Side 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
SegmentAmazon S3shareAzure Data Lake StorageshareLeans
Self-employed1303%172%even
2-10 employees3919%445%Amazon S3
11-50 employees71916%759%Amazon S3
51-200 employees1,07124%13917%Amazon S3
201-500 employees62014%8310%Amazon S3
501-1000 employees4269%9111%even
1001-5000 employees59713%15518%Azure Data Lake Storage
5001-10000 employees1604%759%Azure Data Lake Storage
10,001+ employees4049%16019%Azure Data Lake Storage
By industry
SegmentAmazon S3shareAzure Data Lake StorageshareLeans
Technology & software2,41153%34841%Amazon S3
Business & finance services92921%20625%Azure Data Lake Storage
Manufacturing & industry3398%8710%Azure Data Lake Storage
Media & content1764%152%Amazon S3
Consumer services & leisure1363%243%even
Commerce & trade1062%233%even
Public, community & associations992%253%even
Utilities & infrastructure832%304%even
Health care531%273%Azure Data Lake Storage
Transport, logistics & rental491%152%even
Automotive421%101%even
Hospitality & travel421%––outside top 12
Property & construction––192%outside top 12
By country
SegmentAmazon S3shareAzure Data Lake StorageshareLeans
United States2,85363%50560%Amazon S3
United Kingdom3097%668%even
Germany1604%263%even
India1604%293%even
France1092%162%even
Canada912%385%Azure Data Lake Storage
Brazil651%111%even
Australia641%152%even
Singapore521%––outside top 12
Japan381%––outside top 12
Netherlands381%121%even
Spain371%––outside top 12
Belgium––111%outside top 12
Sweden––101%outside top 12
Switzerland––71%outside top 12
Postings by team (share of each tool's postings)
SegmentAmazon S3shareAzure Data Lake StorageshareLeans
Software engineering7,64845%29910%Amazon S3
Data & AI4,74628%2,11670%Azure Data Lake Storage
IT operations & business systems2,17913%2097%Amazon S3
Product, program & project management2692%281%even
Customer service & success1561%––outside top 12
Engineering (non-software)1481%80%even
Sales1201%70%even
Finance & accounting270%50%even
Research and science270%––outside top 12
Unclassified250%10%even
General management & consulting240%70%even
Business development & strategy160%30%even
Quality, safety & environment160%20%even
Arts media and entertainment140%10%even
Education & training140%10%even
Construction and civil110%60%even
Marketing & communications90%––outside top 12
Skilled trades and field service90%––outside top 12
Logistics warehouse and transport80%––outside top 12
Design & UX70%––outside top 12
Facilities cleaning and security70%––outside top 12
Human resources70%20%even
Legal, compliance & risk60%20%even
Administration & office50%20%even
Hospitality and food service30%10%even
Manufacturing and production20%10%even
Retail & store operations20%––outside top 12
Healthcare clinical10%––outside top 12
Procurement and purchasing10%––outside top 12
Public safety and protective services10%––outside top 12
Social care and community––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.

Azure Data Lake Storage is named by 839 companies in job postings and Amazon S3 by 4,518; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/amazon-s3-vs-azure-data-lake-storage)
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

Amazon S3 vs Azure Data Lake Storage: questions

Which is more used, Amazon S3 or Azure Data Lake Storage?

By companies naming it in their own job postings, Amazon S3 (4,518) over Azure Data Lake Storage (839). By website-and-DNS footprint, Azure Data Lake Storage (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses Amazon S3?

48% of Amazon S3 companies have 2 to 200 employees, against 31% for Azure Data Lake Storage. 26% of Amazon S3 companies have over 1,000 employees, against 46% for Azure Data Lake Storage.

Do companies run both?

0 companies name both in their postings, usually Amazon S3 in marketing and Azure Data Lake Storage 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 Amazon S3 or Azure Data Lake Storage. Start free, no card.

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