Different applications have varying database access patterns, with some being select-heavy like e-commerce stores and others being insert-heavy like analytics companies. Select-driven models are well-suited for sharding due to the high volume of selects in displaying information, while insert-heavy applications present challenges in sharding due to the large amounts of incoming data and fewer select queries accessing the data. These varying use cases may require different approaches and considerations when implementing sharding.

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