5 NoSQL Data Modeling Guidelines for Avoiding Performance Issues

NoSQL data modeling appears straightforward but can lead to performance issues if not carefully managed, particularly around imbalances in access patterns and data distribution. Unlike traditional relational models, NoSQL focuses on satisfying application queries and access patterns, which requires a thorough understanding to avoid overutilization or underutilization of database replicas. Imbalances, such as uneven data distribution and access patterns, can cause significant performance degradation, leading to increased latencies and potential database failures. To prevent these issues, it's important to adopt a query-driven design approach, select appropriate primary and partition keys, ensure high cardinality for even data distribution, avoid hot access patterns, and implement robust monitoring systems. These guidelines, along with resources like the NoSQL Data Modeling Masterclass, can help teams optimize their NoSQL databases for better performance and scalability.