
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 other parts of your application that depend on relationships from a certain node perspective. If data correctness is your priority first and foremost, then it’s recommended to go
No comments:
Post a Comment