Storage
A portfolio built through acquisition Datacore has expanded significantly in recent years. It has acquired object storage specialists, media workflow experts and container storage developers. Tese include Caringo, MayaData, Object Matrix, StarWind and others. Each acquisition has brought a specialised product aimed at a specific use case. Boukhizou explains that Datacore did not want to build a
single, monolithic platform that tries to do everything. Instead, it wanted deep expertise in each domain: high-performance NAS for media, parallel file systems for HPC, object storage for long-term retention, Linux-based HA for edge and robo sites, and Windows-based SDS for enterprise workloads. Te hard part was not the acquisition. It was the integration.
Datacore had to unify engineering teams, support processes, CRMs, billing systems and go-to-market structures; that work is now complete. Datacore’s future is a single platform that brings all its products
together under one control plane. Tis includes management, automation, workflows and data mobility. Customers will be able to manage San Symphony, Swarm, StarWind-derived technology, Pixit Media and Arcastream from one place. Tey will be able to move data between block, file, and object storage based on policy, compliance, or cost, and optimise performance and capacity without rebuilding their infrastructure. Tis unified platform will support both traditional UI-driven
management and a new agentic model. Boukhizou describes a change in user behaviour in which younger administrators prefer to prompt rather than click. Tey want to ask the system questions and receive recommendations, an automation that reduces the burden of monitoring, diagnostics and problem resolution. Datacore’s agentic model will observe the system, correlate
events, identify patterns and provide recommendations, but it will not act autonomously. Boukhizou insists that storage is too critical to fully automate, and human approval remains essential. But the assistant will reduce the time spent analysing logs, checking dashboards and opening support tickets by summarising context for support teams and accelerating resolution. Boukhizou makes it clear
that the agent must have access to telemetry, policies, and system behaviour to understand the product. Customers will be able to use Datacore’s own model or bring their own LLM, including Anthropic, Gemini, OpenAI, Mistral or Kimi. Te system will also support dark-site deployments where external cloud access is not allowed.
Real-world use cases Boukhizou’s examples are grounded in real deployments. He describes supermarkets
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running 15 VMs per store, isolated from the internet except for payment processing. He describes pharmaceutical factories with hundreds of sites that cannot send sensitive data to the cloud. He describes research centres that refuse to run Windows but adopt Datacore aſter testing. He describes manufacturing plants in France using VMware and in Spain using Hyper-V, with Datacore providing resiliency across both. He also highlights compliance use cases. One steel manufacturer
must store environmental telemetry indefinitely to demonstrate compliance with European air quality regulations. Datacore provides primary storage for the applications and object storage for the long-term retention. Immutability is a major part of Datacore’s strategy. San
Symphony can roll back to any point in time using continuous data protection. Even if the soſtware is compromised, the disks remain locked. A fresh instance can be installed, and the data recovered. Boukhizou says this has been demonstrated live at partner events.
Why this matters to the UK channel UK partners are dealing with customers who need to modernise storage without increasing cost. Tey need to support VMware exit strategies. Tey need to handle AI-driven data growth and improve cyber resiliency. Tey need to meet compliance rules and work around hardware shortages. Tey need to support edge deployments in retail, manufacturing, healthcare and more. Datacore’s approach aligns with these needs. It gives partners
a way to offer flexibility rather than lock-in. It allows customers to reuse existing hardware and supports refurbished servers and mixed hypervisors. It supports gradual migration rather than forkliſt upgrades, automation without removing human control, and long-term retention without cloud dependency. Datacore is ready for this moment. Te company has completed
its integration work and unified its portfolio. It has built the foundation for a single platform and embraced agentic operations. Above all, it has kept its focus on customer freedom.
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