Choosing a native graph database provides granular control over all operations from the transactional behavior to on-disk data organization to clustering and driver protocols. With complete control over every aspect of the native graph database, fine-tune graph traversal optimizations can be performed and choices sympathetic to graph principals for reliability and ACID transactional support can be made and implemented without restriction.
Durability and certainty of the graph database records are crucial to preserve. Choosing reliability and making sure failed graph database transactions roll back maintains a consistent data state in the native graph database.
Graph Database Reliability
For graph databases, reliability is far more essential than availability since the connectedness of the data make them more highly demanding than aggregate databases. The issue of placing a graph later over an existing datastore will boil down to how data is written and which record is factual since within a graph there are two perspectives: the node from each side.
If mutations are made through multiple requests simultaneously, it’ll lead to an uncertain relationship status. A non- native graph database will resolve this by means of complex algorithms, but in the end, they simply don’t work, leaving you with erroneous data. Such incorrectness can spread through the graph as well as
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