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Engineering a Scalable Product Comparison Engine with Structured Metadata and Review Signals

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A developer article examines the architecture needed to build a product comparison and discovery platform that handles varied specifications and high-volume user feedback. It identifies the difficulty of managing diverse catalogs across categories such as electronics and software subscriptions, and proposes a hybrid storage design combining relational tables with a flexible key-value or JSONB store. The piece describes a normalization layer that standardizes inconsistent units and formats, such as battery capacity values, so products can be compared reliably. It also argues that simple average star ratings can misrepresent quality, motivating more transparent review aggregation methods. The article additionally covers responsible use of AI-assisted analysis within such systems.

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