Startups managing SQL database growth often struggle with heavy query loads, maintaining data consistency, and resolving slow performance caused by poor indexing or inefficient queries. Scaling vertically (bigger servers) raises costs quickly; horizontal scaling through sharding is complex. Achieving high performance with big data sets and ensuring the database is always up are also hard. Balancing costs and performance requires careful architectural choices, better queries, and good monitoring tools.
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