Data Storage Lab

Storage planning typically requires navigating a fragmented ecosystem of product catalogs, vendor websites, and single-purpose calculators, each addressing only one dimension of the problem. Data Storage Lab consolidates this scattered process into a cohesive planning tool designed for households and small organizations that need to handle backup and recovery without vendor lock-in.

The tool addresses a genuine friction point in how people approach storage decisions. Most users start with capacity questions but lack a structured way to think about protection, backup, and recovery together. Data Storage Lab guides planners through describing their data, setting recovery priorities, and reviewing a complete configuration that connects these decisions. This systematic approach distinguishes it from tools that isolate one question at a time.

A core insight embedded in the tool's design is clarity about what RAID actually protects against. The product explicitly rejects the common misconception that RAID redundancy serves as backup. Instead, it frames array protection as a hedge against downtime from drive failure while emphasizing that independent backup copies protect against deletion, ransomware, theft, and site-wide failure. This distinction forces more rigorous thinking about recovery architecture.

The planning paths accommodate different scenarios: families managing photos and video, media creators with growing storage needs, freelancers protecting work files, home lab builders, and small offices with multiple users. For each scenario, the tool produces guidance on usable capacity, bay and drive ranges, protection strategies, backup allocation, network specifications, and equipment categories.

The vendor-neutral stance removes pressure to choose specific brands during planning, letting users focus on functional requirements first. The output is a configuration brief and equipment checklist, enabling users to shop for hardware independently after understanding what they actually need.

The tool does not attempt to replace hardware decisions with formulas. Instead, it bridges the gap between abstract storage requirements and concrete equipment selection, providing enough specificity to guide purchasing without prescribing products. This positions it as infrastructure planning for people who would otherwise assemble their knowledge from scattered sources or make reactive decisions at purchase time.