Companies that use VAST Data

Analyzed and validated by Henley Wing Chiu ยท Updated
All โ€บ data warehouse and lakes โ€บ VAST Data

VAST Data We detected 142 companies using VAST Data. The most common industry is Software Development (13%) and the most common company size is 10,001+ employees (26%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.

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Company Employees Industry Country Region Usage Start Date
Accenture 10,001+ Business Consulting and Services
Ireland
Europe
Deloitte 10,001+ Business Consulting and Services
OO
Europe
Walmart 10,001+ Retail
United States
North America
Citi 10,001+ Financial Services
United States
North America
CVS Health 10,001+ Hospitals and Health Care
United States
North America
State Farm 10,001+ Insurance
United States
North America
General Motors 10,001+ Motor Vehicle Manufacturing
United States
North America
Thermo Fisher Scientific 10,001+ Biotechnology Research
United States
North America
T-Mobile 10,001+ Telecommunications
United States
North America
IQVIA 10,001+ Hospitals and Health Care
United States
North America
ExxonMobil 501โ€“1,000 Oil and Gas
United States
North America
Comcast 10,001+ Telecommunications
United States
North America
Qualcomm 10,001+ Semiconductor Manufacturing
United States
North America
UniCredit 10,001+ Banking
Italy
Europe
NVIDIA 10,001+ Computer Hardware Manufacturing
United States
North America
Humana 10,001+ Insurance
United States
North America
Tenet Healthcare 10,001+ Hospitals and Health Care
United States
North America
Adobe 10,001+ Software Development
United States
North America
University of Michigan 10,001+ Higher Education N/A North America
ServiceNow 10,001+ Software Development
United States
North America
Showing 1-20

Market Insights

๐Ÿข Top Industries

Software Development 18 (13%)
IT Services and IT Consulting 12 (8%)
Hospitals and Health Care 11 (8%)
Technology, Information and Internet 11 (8%)
Financial Services 10 (7%)

๐Ÿ“ Company Size Distribution

10,001+ employees 37 (26%)
1,001-5,000 employees 36 (25%)
501-1,000 employees 19 (13%)
201-500 employees 18 (13%)
51-200 employees 16 (11%)

๐Ÿ‘ฅ What types of companies use VAST Data?

Source: Analysis of Linkedin bios of 142 companies that use VAST Data

Company Characteristics
i
Trait
Likelihood
Funding Stage: Post IPO debt
896.3x
Company Size: 10,001+
117.0x
Company Size: 1,001-5,000
33.8x
Company Size: 201-500
5.6x
Country: United States
5.3x
I noticed that VAST Data's customers are predominantly organizations dealing with massive computational workloads and data-intensive operations. These aren't your typical SaaS companies. They're financial services firms running quantitative trading algorithms, entertainment companies rendering visual effects for blockbuster films, biotechnology labs analyzing genomic data, telecommunications giants managing network infrastructure, and AI companies training large language models. What unites them is the need to process, store, and analyze enormous volumes of data at high speed.

These companies skew heavily toward mature, established enterprises rather than early-stage startups. My analysis shows that most have employee counts in the thousands or tens of thousands. Many are publicly traded (BlackRock, Visa, General Motors, Walmart) or have received substantial late-stage funding. Even the smaller organizations in the list tend to be well-funded (Cerebras at Series G with $1.1B, Anduril at Series G with $2.5B) or established players in their markets. The typical customer has been operating for years or decades and has the budget for premium infrastructure.

๐Ÿ”ง What other technologies do VAST Data customers also use?

Source: Analysis of tech stacks from 142 companies that use VAST Data

Commonly Paired Technologies
i
Technology
Likelihood
10090.9x
5932.5x
5292.5x
4132.2x
3354.2x
1323.6x
I noticed that VAST Data customers share a distinct profile: they're enterprise-scale companies heavily invested in sophisticated customer experience management and enterprise-grade security infrastructure. The combination of tools like Qualtrics, Medallia, and Glean alongside Okta Advanced Server Access tells me these are large, mature organizations that need both massive data infrastructure and the management tools to govern it effectively.

The pairing of VAST Data with Medallia and Qualtrics is particularly revealing. These companies are collecting enormous volumes of customer feedback and experience data that require serious storage and processing capabilities. VAST's high-performance storage naturally complements the data-intensive nature of enterprise experience management platforms. Similarly, the presence of Glean, an enterprise search tool, suggests these organizations have massive internal knowledge bases and data repositories that employees need to navigate quickly. This makes perfect sense alongside VAST's infrastructure, which is designed to handle petabyte-scale data operations.

The Okta Advanced Server Access correlation is equally telling. Companies using this level of security tooling are managing complex, distributed infrastructures with strict compliance requirements. They're not startups experimenting with bleeding-edge tech, they're established enterprises with mature security postures and significant regulatory obligations.

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