VAST Data
United States · www.vastdata.com · 8 vendors
VAST Data provides an AI Operating System and a global data platform that unifies storage, database, and compute. It is designed to help organizations build and scale intelligent applications by managing large-scale data for AI and deep learning workloads.
Resilience scores
- Digital Sovereignty: 88
- Digital Resilience: 8
Disruption prediction
VAST Data has an estimated 40% probability of disruption in the next 6 months.
5 of VAST Data's 8 vendors monitored for disruptions.
Technology vendors
- Google LLC — Technology — United States
- HubSpot, Inc. — Technology — United States
- Slack Technologies, LLC — Technology — United States
- and 6 more
Services catalogue
1 service in catalogue across 1 category; runs on 8 sub-vendors.
- AI storage
Insights
Last updated 2026-07-30 · revision 1
8 direct vendors, 143 subvendors
Direct vendors by controlling owner country (sample)
- United States: 7
- Denmark: 1
Subvendors by controlling owner country (sample)
- Italy: 1
- Denmark: 3
- Japan: 2
Migration Readiness: 9/10
Assessed by AI based on technology stack characteristics (cloud-native vs legacy, containerization, microservices), regulatory environment, data residency requirements, financial stability, and vendor lock-in risks. The score ranges from 0-10, where higher scores indicate better readiness for technology migration.
VAST Data exhibits very high migration readiness, primarily driven by its highly modern and cloud-native oriented internal tech stack. The extensive use of Kubernetes and Docker signifies a strong foundation for containerization and microservices, enabling flexible deployment across various environments, including public clouds. Support for S3-compatible Object Storage APIs, NFS, and SMB protocols further enhances data portability. Their proprietary DASE architecture and products like VAST DataSpace (global namespace) are designed for distributed data management and unified access, inherently facilitating data migration and multi-cloud strategies. The "VAST Gemini" consumption model also suggests a flexible commercial approach that aligns with agile migration strategies. A complete assessment is hindered by the lack of data on specific regulatory compliance requirements and data residency constraints, which can significantly impact migration complexity. Information on financial stability (ability to fund migration) is also missing. While the company uses 6 services from vendors in 2 countries, the "Vendor Lock-in Risk" is unknown. However, VAST Data's strong emphasis on open standards and its own flexible architecture likely mitigates significant lock-in from these external services.
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