Azure Data Lake Storage VS VAST Data
As of 30 October 2026, VAST Data is named by 101 companies and Azure Data Lake Storage by 628; Azure Data Lake Storage skews to companies under 200 people (31% vs 48%), VAST Data to companies over 1,000 (17% vs 47%).
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: Azure Data Lake Storage's script and mail records show on hundreds of thousands of small sites, VAST Data rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Azure Data Lake Storage: 2–200 employees
- 31%
- VAST Data: 2–200 employees
- 48%
- Azure Data Lake Storage: 1,000+ employees
- 47%
- VAST Data: 1,000+ employees
- 17%
- Postings per company, 90 days
- 3.2 · 3.1
- 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 | Azure Data Lake Storage | share | VAST Data | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 7 | 1% | 1 | 1% | even |
| 2-10 employees | 27 | 4% | 13 | 13% | VAST Data |
| 11-50 employees | 61 | 10% | 17 | 17% | VAST Data |
| 51-200 employees | 107 | 17% | 18 | 18% | even |
| 201-500 employees | 65 | 10% | 18 | 18% | VAST Data |
| 501-1000 employees | 64 | 10% | 17 | 17% | VAST Data |
| 1001-5000 employees | 115 | 18% | 9 | 9% | Azure Data Lake Storage |
| 5001-10000 employees | 61 | 10% | 3 | 3% | Azure Data Lake Storage |
| 10,001+ employees | 121 | 19% | 5 | 5% | Azure Data Lake Storage |
| Segment | Azure Data Lake Storage | share | VAST Data | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 278 | 44% | 60 | 59% | VAST Data |
| Business & finance services | 148 | 24% | 16 | 16% | Azure Data Lake Storage |
| Manufacturing & industry | 63 | 10% | 8 | 8% | Azure Data Lake Storage |
| Health care | 24 | 4% | – | – | outside top 12 |
| Utilities & infrastructure | 23 | 4% | – | – | outside top 12 |
| Property & construction | 15 | 2% | – | – | outside top 12 |
| Commerce & trade | 14 | 2% | 1 | 1% | even |
| Public, community & associations | 13 | 2% | 3 | 3% | even |
| Transport, logistics & rental | 12 | 2% | – | – | outside top 12 |
| Consumer services & leisure | 11 | 2% | 1 | 1% | even |
| Media & content | 11 | 2% | 11 | 11% | VAST Data |
| Automotive | 8 | 1% | 1 | 1% | even |
| Segment | Azure Data Lake Storage | share | VAST Data | share | Leans |
|---|---|---|---|---|---|
| United States | 379 | 60% | 74 | 73% | VAST Data |
| United Kingdom | 55 | 9% | 9 | 9% | even |
| Canada | 31 | 5% | 1 | 1% | Azure Data Lake Storage |
| Germany | 25 | 4% | 1 | 1% | Azure Data Lake Storage |
| India | 18 | 3% | 1 | 1% | even |
| France | 13 | 2% | 3 | 3% | even |
| Australia | 12 | 2% | 2 | 2% | even |
| Netherlands | 12 | 2% | – | – | outside top 12 |
| Belgium | 11 | 2% | – | – | outside top 12 |
| United Arab Emirates | 7 | 1% | – | – | outside top 12 |
| Brazil | 7 | 1% | – | – | outside top 12 |
| Sweden | 7 | 1% | – | – | outside top 12 |
| Singapore | – | – | 2 | 2% | outside top 12 |
| Austria | – | – | 1 | 1% | outside top 12 |
| China | – | – | 1 | 1% | outside top 12 |
| Spain | – | – | 1 | 1% | outside top 12 |
| Finland | – | – | 1 | 1% | outside top 12 |
| Segment | Azure Data Lake Storage | share | VAST Data | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,847 | 71% | 17 | 4% | Azure Data Lake Storage |
| Software engineering | 254 | 10% | 70 | 17% | VAST Data |
| IT operations & business systems | 160 | 6% | 80 | 20% | VAST Data |
| Product, program & project management | 19 | 1% | 25 | 6% | VAST Data |
| General management & consulting | 11 | 0% | 7 | 2% | even |
| Construction and civil | 6 | 0% | – | – | outside top 12 |
| Sales | 6 | 0% | 44 | 11% | VAST Data |
| Finance & accounting | 5 | 0% | 2 | 0% | even |
| Business development & strategy | 3 | 0% | 3 | 1% | even |
| Engineering (non-software) | 3 | 0% | 12 | 3% | VAST Data |
| Human resources | 2 | 0% | – | – | outside top 12 |
| Quality, safety & environment | 2 | 0% | – | – | outside top 12 |
| Marketing & communications | – | – | 18 | 4% | outside top 12 |
| Customer service & success | – | – | 5 | 1% | outside top 12 |
| Travel, leisure & events | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using Azure Data Lake Storage →
Companies using VAST Data →
storage systems ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
VAST Data is named by 101 companies in job postings and Azure Data Lake Storage by 628; 0 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/azure-data-lake-storage-vs-vast-data)
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.
Azure Data Lake Storage vs VAST Data: questions
Which is more used, Azure Data Lake Storage or VAST Data?
By companies naming it in their own job postings, Azure Data Lake Storage (628) over VAST Data (101). By website-and-DNS footprint, VAST Data (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Azure Data Lake Storage?
31% of Azure Data Lake Storage companies have 2 to 200 employees, against 48% for VAST Data. 47% of Azure Data Lake Storage companies have over 1,000 employees, against 17% for VAST Data.
Do companies run both?
0 companies name both in their postings, usually Azure Data Lake Storage in marketing and VAST Data 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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