How scalable are graph databases compared to relational databases?
Graph databases are highly scalable, especially for complex queries involving relationships. They can handle large datasets efficiently.
What factors affect the scalability of graph databases?
Factors include data model complexity, indexing strategies, and the underlying infrastructure. Distributed systems can enhance scalability.
Can you give examples of graph databases that are known for their scalability?
Sure! Neo4j, Amazon Neptune, and ArangoDB are popular graph databases recognized for their scalability.
How do graph databases perform under heavy load?
Graph databases typically maintain performance under heavy load due to their efficient traversal algorithms and indexing.
Are there any limitations to the scalability of graph databases?
Yes, while they are scalable, limitations can arise from hardware constraints and the complexity of the graph structure itself.
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