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I’m currently working on a project that involves managing a large number of auctions happening simultaneously, with potentially thousands of bids coming in per minute. I’m curious to hear from experienced developers and architects — what database design approaches have you found to be the most effective for handling such high-volume, real-time auction systems?
Specifically, I’d like to understand your thoughts on structuring tables, indexing strategies, handling concurrency, ensuring data consistency, and optimizing query performance under heavy load. Should one lean more toward SQL, NoSQL, or a hybrid approach in this kind of environment? Are there particular patterns or architectures (like sharding, event sourcing, or CQRS) that have proven successful in scaling auction platforms?
Additionally, if anyone has worked on similar systems and can share insights, real-world examples, or lessons learned, that would be extremely valuable. For those without the in-house expertise, what’s the best way to Hire Auction Software Developers who truly understand these performance challenges?
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