Automate, protect, and unify data for modern applications, AI workloads and VMs on Kubernetes, across on-premises, public, hybrid cloud, or edge environments.
Portworx® is an enterprise-grade, Kubernetes-native data platform unifying VM and container data management across all clouds and edge, with automated storage operations, built-in resilience, and security.
Data management that integrates with GitOps, CI/CD pipelines, and IaC.
High-data availability, automated replication, and storage orchestration.
Kubernetes-native, application-aware backup, and zero data loss DR.
Simplifies ops, cuts costs, and scales reliably.
25,000
Portworx simplifies Kubernetes data management by automating storage, protecting applications with built-in resilience, and unifying data across clouds, clusters, and workloads. Move faster, reduce risk, and operate consistently at scale without silos, legacy tooling, or vendor lock-in.
Spend less time managing infrastructure.
Improve availability with data replication, app-aware back-up and restore.
Unify data management across containers and VMs on any storage.
Portworx connects natively with the Kubernetes platforms, clouds, and tools you already use. Open APIs and deep integrations ensure fast deployment, consistent operations, and flexibility at scale.
Works across Red Hat OpenShift, EKS, AKS, GKE, SUSE Rancher, Spectro Cloud Palette and upstream Kubernetes.
Integrates with Everpure, public cloud, and any other on-premises infrastructure.
Provides Kubernetes-native backup, DR, and security workflows.
Extends automation through REST APIs, operators, and platform engineering tools.
Explore Portworx
Explore Portworx
Discover common pitfalls, key considerations, and essential strategies for technical leaders evaluating virtualization options
Explore why traditional CSI drivers may not meet your enterprise-scale needs and discover a superior solution with cloud-native storage.
Join live or choose self-paced to learn how Portworx helps you automate, protect, and unify Kubernetes storage.
Combine FlashArray™ high-performance, all-flash storage with Kubernetes-native automation, resilience, and app-aware data services for containers, VMs on Kubernetes, and AI workloads.
Get just-in-time, topology-aware, volume allocation and automated storage scaling.
Kubernetes excels at managing containers, but containers themselves are short-lived by design. Because containers are frequently provisioned and updated, apps deployed to Kubernetes have unique storage and data management requirements that must be container- and application-aware, while still delivering the backup, recovery, and management capabilities of traditional applications.
Unlike traditional applications that can be backed up using server-based snapshots, Kubernetes applications comprise multiple components—containers, pods, volumes, configuration—that are spread across a cluster of servers. As a result, all these components must be backed up together in order to facilitate fast recovery.
Today, solutions like KubeVirt make it possible to manage containers alongside virtual machines with the same, unified operating model. Kubernetes storage and data management solutions integrated tightly with these platforms enable data agility across both containers and VMs, and allow organizations to reduce their VMware costs and footprint.
Portworx is a Kubernetes data services platform designed to provide persistent storage, data protection, disaster recovery, and other capabilities for containerized applications. While Portworx was designed from the bottom up to run on any storage platform, the massively parallel, high-performing, all-flash storage solutions from Everpure are the perfect hardware counterpart for your Kubernetes-powered apps. Together, Everpure and Portworx provide a complete data storage infrastructure solution that supports mission-critical and data intensive workloads, like databases, analytics, and AI/ML.
CSI (Container Storage Interface) plug-ins standardize how Kubernetes consumes storage but have important data management limitations. They focus mainly on basic volume lifecycle tasks such as provisioning, attaching, and deleting storage, and do not natively support advanced capabilities like application-consistent snapshots, backups, disaster recovery, cross-cluster replication, policy-driven automation, or deep observability. As a result, teams must rely on external tools to handle data protection, mobility, and resilience for production-grade stateful Kubernetes workloads, increasing operational complexity.