Anyscale

United States · www.anyscale.com · 23 vendors

Anyscale provides a fully managed, scalable compute platform built on the open-source Ray framework. It enables developers and organizations to effortlessly build, run, tune, train, and scale AI and machine learning applications and Python workloads from a laptop to the cloud.

Resilience scores

Technology vendors

Services catalogue

1 service in catalogue across 1 category; runs on 23 sub-vendors.

Insights

Last updated 2026-03-12 · revision 1

23 direct vendors, 251 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

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.

Anyscale exhibits a very high degree of migration readiness, primarily due to its cutting-edge and highly portable internal tech stack. The extensive use of cloud-native technologies such as Kubernetes and Docker for containerization, coupled with operations across multiple major cloud providers (Amazon Web Services, Google Cloud Platform, Microsoft Azure), signifies a robust, flexible, and inherently migratable infrastructure. Their core product, Ray, is designed for distributed AI/ML workloads, further reinforcing an architecture that is not tightly coupled to a single environment. This multi-cloud and containerized approach drastically reduces vendor lock-in to any specific cloud provider and simplifies the process of moving workloads between environments or to new platforms. However, a complete assessment is hampered by missing data. Information regarding specific regulatory environments and data residency requirements is not provided, which could introduce unforeseen complexities or costs during a migration. Similarly, the absence of financial stability data (revenue concentration, growth history) makes it impossible to evaluate Anyscale's financial capacity to fund a large-scale migration effort. While the data indicates 53 services are used with vendor HQs in 4 unique countries, suggesting some vendor diversity, the 'Total Vendors: 0' entry is contradictory and makes it difficult to fully assess the extent of vendor lock-in from a contractual perspective, though the technical architecture strongly suggests low lock-in.

Compliance

4 in-scope frameworks identified; showing 3.

GDPR (source) — Assessment Required

As a US-based cloud services provider serving global customers including EU companies (evidenced by their customer base), Anyscale likely processes personal data of EU/EEA residents through their platform. GDPR applies to any organization processing EU personal data regardless of location. High risk due to potential fines up to 4% of global annual revenue and the complexity of AI/ML data processing which often involves personal data. The cloud services nature means they likely act as both controller and processor of personal data.

ISO 27001 (source) — Assessment Required

ISO 27001 is important for cloud service providers to demonstrate systematic information security management. While not legally required, it's often expected by enterprise customers, especially in regulated industries. Medium risk because while not having ISO 27001 won't result in regulatory fines, it can impact competitive positioning and customer trust, particularly for a company handling sensitive AI/ML workloads.

SOC 2 (source) — Assessment Required

SOC2 is critical for cloud service providers as it demonstrates security, availability, processing integrity, confidentiality, and privacy controls. Given Anyscale's business model as a cloud AI/ML platform serving enterprise customers (including Coinbase, Canva, Notion), SOC2 compliance is typically expected by enterprise customers. High risk because lack of SOC2 can significantly impact customer acquisition and retention in the enterprise market.

Financials

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