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Watch out for Jack of All Data implementations in database technologies. In building any technology there are always trade-offs when squeezing maximum performance out of the implementation so knowing what that guiding light is for a technology becomes very important. If you’re trying to do everything, or even too many things, odds are none if Read the full article…

Thinking in patterns is the key to interacting with a graph database like ONgDB. One of the main challenges I see with those with deep relational database experience when transitioning to a graph database is the use of a relational approach for querying data. To query a graph database most efficiently there is a need Read the full article…

Finding your way around an unknown graph can seem a bit ambiguous at first due to ONgDB being schema-free. Especially if you’re newer to graph databases and used to a relational database where you would simply open the ERD and have a look through the tables. Just because ONgDB is schema-free doesn’t mean that schema-like Read the full article…