For many, graph databases are niche. They're for social applications or other areas where relationships matter. The reality is that relationships between data almost always matter. Of course, similar things can be (and have been) said about time series databases—they're not niche, they track how data changes over time, and who doesn't need that? However, so-called niche players are branching into the mainstream while general-purpose databases like Postgres and MongoDB are adding graph (and other) functionality.
After decades of database doldrums, where we tried to make all data fit the rows and columns of relational databases, we're finally innovating in databases again.
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