Using Graph Databases in Popular Open Source CMSs
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Traditionally CMSs use SQL databases that are really fast when you need all the information stored together in a record row, but are a bad fit when you need to search for relationship patterns that are not already stored together in your database. A significant performance penalty is incurred for every additional table that needs to be joined for a query. That is why SQL databases are notoriously bad at deducting relationships from datasets. Graph databases, however, are really good at this task.
In a talk we did at FOSDEM ’17, Tamás Demeter-Haludka and I discuss potential application areas of graph databases in existing open source CMSs like Drupal.
We believe graph databases could make a big difference when used in key areas where traditionally CMSs would fail:
We’ve created a basic integration that makes it possible for non-developers to work with Neo4j. Combined with Drupal’s content modelling capabilities we believe it could be a powerful tool for people to explore graph databases using a GUI. There is also a case to be made for the use of graph databases in the Drupal ecosystem: sites that already use Drupal could benefit from its capabilities.
For the video recording, click here.
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Kristof Van Tomme is an open source strategist and architect. He is the CEO and co-founder of Pronovix. He’s got a degree in bioengineering and is a regular speaker at conferences in the API, developer relations, and technical writing communities. He is the host of the Developer Success & the Business of APIs and the API Resilience podcasts.
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