Pure Storage

FlashArray is designed primarily for business-critical block, file and object workloads, while FlashBlade focuses on scale-out file and object data.

FlashArray is typically the stronger fit for databases, virtualisation and enterprise applications where predictable latency matters. FlashBlade is better suited to AI, analytics, high-performance computing, backup and large unstructured datasets where throughput, concurrency and scale are the greater priorities.

Choose FlashArray for latency-sensitive enterprise applications and FlashBlade for highly parallel, large-scale file or object workloads such as AI and analytics.

The right choice also depends on protocols, throughput, usable capacity, resilience and expected growth. If your requirements span both workload types, book a free storage assessment and our specialists can determine whether FlashArray, FlashBlade or a combination provides the stronger architecture.

Pure FlashArray is generally the stronger choice for databases, virtualisation and enterprise applications that depend on predictable low latency and high availability.

The FlashArray range supports different performance and capacity requirements across transactional databases, VMware environments, private cloud and consolidated enterprise storage. Selecting the right model should account for IOPS, throughput, usable capacity, data reduction, resilience and future workload growth.

Pure FlashBlade is generally better suited to AI, analytics and large unstructured datasets requiring high throughput and concurrent file or object access.

The FlashBlade range is designed for workloads including AI pipelines, analytics, high-performance computing, backup and large data repositories. FlashBlade//S emphasises demanding active workloads, while FlashBlade//E is aimed more heavily at capacity-led unstructured data requirements.

Yes, FlashArray and FlashBlade can support different workload requirements within the same wider Pure Storage environment rather than acting as mutually exclusive platforms.

An organisation might use FlashArray for databases and virtual machines while FlashBlade supports AI datasets, analytics or backup repositories. Our storage specialists can assess your current storage environment and determine whether one platform or a combined architecture is the better fit.

Pure Storage should be sized around performance, usable capacity, workload behaviour and expected growth rather than simply matching current raw storage capacity.

Latency, throughput, protocols, data reduction, retention and resilience can all influence both platform choice and configuration. Book a free storage assessment and we can review current utilisation and projected growth before recommending FlashArray, FlashBlade or a combination of both.

Yes, Pure Evergreen provides consumption-based options that allow organisations to align storage costs and capacity more closely with actual usage and changing demand.

Evergreen//One provides storage as a consumption-based service, while Evergreen//Flex combines infrastructure ownership with usage-based capacity economics. Explore Pure Evergreen to compare the available models, or speak to our storage specialists about the best commercial approach for your requirements.

Pure Evergreen is designed to keep storage current through non-disruptive upgrades, reducing reliance on traditional forklift refreshes and repeated data migrations.

Pure Evergreen combines lifecycle and commercial options designed around different ownership and consumption requirements. This can be particularly relevant when comparing long-term storage costs, refresh planning and how additional performance or capacity will be introduced as requirements change.