S3-compatible object storage with built-in cyber resilience for petabyte-scale AI workloads
Scality builds S3-compatible object storage optimized for petabyte-scale deployments and AI workloads, with architectural safeguards embedded across the stack (Kubernetes, PostgreSQL, Redis, Elasticsearch). The tech foundation signals mature, distributed infrastructure; hiring velocity is accelerating with roles concentrated in sales and support, indicating a transition from product-led to revenue-driven growth.
Scality develops software-defined, object storage systems for organizations managing massive data growth, security, and cost pressures. Founded in 2009 and based in San Francisco, the company operates at 201–500 employees. Its core product is an S3-compatible platform built on a multi-scale architecture designed to scale independently across performance, capacity, and durability dimensions. The customer base includes enterprises running high-performance AI initiatives, cloud deployments, and long-term archival workflows. Post-sales engagement (professional services, solution optimization) is a material part of operations.
Container orchestration (Kubernetes, Docker, containerd), monitoring (Prometheus, Grafana, Loki), databases (PostgreSQL, MongoDB, Redis), backup integration (Veeam, Commvault), search (Elasticsearch), and infrastructure on AWS, Azure, GCP, plus HPE and Supermicro hardware partners.
Data storage growth, security, performance, and cost management. Internal focus areas include driving revenue efficiency and addressing broader data storage challenges, reflected in post-sales service expansion.
Scality's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.