Demystifying native vs. multi-model graph database myths

The choice between native and multi-model graph databases depends on specific use cases and requirements. Native graph databases excel in handling small and stable datasets with complex relationships, while multi-model databases offer versatility for diverse data types, enhanced scalability, superior support for operational workloads, and cost-effectiveness. Both approaches have their strengths and limitations, so it's crucial to assess the project's unique demands and operational priorities before making a decision.

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