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Export All
All Companies (149)
Churned or Trial Ended (1)
Company
Employees
Industry
Country
Region
Paychex
source
10,001+
Human Resources Services
United States
North America
2026-08-16
BayCare Health System
source
10,001+
Hospitals and Health Care
United States
North America
2026-08-13
TensorWave
source
51โ200
Technology, Information and Internet
United States
North America
2026-08-11
Akamai Technologies
source
5,001โ10,000
Technology, Information and Internet
United States
North America
2026-08-07
Firmus Technologies
source
51โ200
Technology, Information and Internet
Australia
Oceania
2026-07-30
Verition
source
501โ1,000
Financial Services
N/A
North America
2026-07-28
Accenture
source
10,001+
Business Consulting and Services
Ireland
Europe
Deloitte
source
10,001+
Business Consulting and Services
OO
Europe
Walmart
source
10,001+
Retail
United States
North America
Citi
source
10,001+
Financial Services
United States
North America
CVS Health
source
10,001+
Hospitals and Health Care
United States
North America
State Farm
source
10,001+
Insurance
United States
North America
General Motors
source
10,001+
Motor Vehicle Manufacturing
United States
North America
Thermo Fisher Scientific
source
10,001+
Biotechnology Research
United States
North America
T-Mobile
source
10,001+
Telecommunications
United States
North America
IQVIA
source
10,001+
Hospitals and Health Care
United States
North America
ExxonMobil
source
501โ1,000
Oil and Gas
United States
North America
Comcast
source
10,001+
Telecommunications
United States
North America
Qualcomm
source
10,001+
Semiconductor Manufacturing
United States
North America
UniCredit
source
10,001+
Banking
Italy
Europe
Market Insights
๐ข Top Industries
Software Development
18 (12%)
Technology, Information and Internet
14 (10%)
Hospitals and Health Care
12 (8%)
Financial Services
11 (7%)
IT Services and IT Consulting
11 (7%)
๐ Company Size Distribution
10,001+ employees
39 (27%)
1,001-5,000 employees
36 (24%)
201-500 employees
19 (13%)
501-1,000 employees
19 (13%)
51-200 employees
17 (12%)
๐ฅ What types of companies use VAST Data?
Source: Analysis of Linkedin bios of 149 companies that use VAST Data
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.
๐ง What other technologies do VAST Data customers also use?
Source: Analysis of tech stacks from 149 companies that use VAST Data
Commonly Paired Technologies
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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