Why Are SQL Databases Outdated for the Real-Time Recommendation Engines

Recommendation engines face challenges with rapidly growing and complex data, which can strain traditional SQL databases due to their reliance on complex JOIN operations to analyze relationships between entities. Graph databases, however, inherently focus on relationships, making them more efficient for querying and adapting to changes in business models, as they do not require a predefined schema. This flexibility allows for easier data modeling and updating, as seen in examples where businesses expand their product offerings. Graph databases utilize nodes and relationships to store data, enabling faster and more insightful recommendations, especially as data volume increases. The shift from SQL to graph databases can enhance the performance of recommendation engines significantly, particularly in scenarios involving complex queries and large datasets.