Companies that use VAST Data

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

VAST Data We detected 95 companies using VAST Data. The most common industry is Software Development (9%) and the most common company size is 10,001+ employees (29%). 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
ABC News 1,001โ€“5,000 Broadcast Media Production and Distribution
United States
North America
Acceldata 201โ€“500 Software Development
United States
North America
Adobe 10,001+ Software Development
United States
North America
Afrihost 201โ€“500 Telecommunications
South Africa
Africa
Agoda 5,001โ€“10,000 Software Development
Singapore
Asia
AlphaGrep 201โ€“500 Financial Services
India
Asia
Altair 1,001โ€“5,000 Software Development
United States
North America
Anduril Industries 1,001โ€“5,000 Defense and Space Manufacturing
United States
North America
Atto Trading 11โ€“50 Capital Markets
United States
North America
Autoliv 10,001+ Motor Vehicle Parts Manufacturing
Sweden
Europe
Automatik VFX 51โ€“200 Media Production
United Kingdom
Europe
Balyasny Asset Management L.P. 1,001โ€“5,000 Financial Services
United States
North America
Basecamp Research 11โ€“50 Biotechnology Research
United Kingdom
Europe
Bitdeer (NASDAQ: BTDR) 201โ€“500 Software Development
Singapore
Asia
BlackRock 10,001+ Financial Services
United States
North America
Boise State University 5,001โ€“10,000 Higher Education N/A North America
Buck Institute for Research on Aging 51โ€“200 Research
United States
North America
Bungie 1,001โ€“5,000 Entertainment Providers
United States
North America
CeGaT GmbH 201โ€“500 Hospitals and Health Care
Germany
Europe
Cengage 1,001โ€“5,000 E-Learning Providers N/A North America
Showing 1-20

Market Insights

๐Ÿข Top Industries

Software Development 9 (9%)
Financial Services 8 (8%)
IT Services and IT Consulting 8 (8%)
Technology, Information and Internet 8 (8%)
Biotechnology Research 7 (7%)

๐Ÿ“ Company Size Distribution

10,001+ employees 28 (29%)
1,001-5,000 employees 24 (25%)
201-500 employees 14 (15%)
5,001-10,000 employees 9 (9%)
501-1,000 employees 9 (9%)

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

Source: Analysis of Linkedin bios of 95 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 95 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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