Knowledge graphs are among the most important technologies for the 2020s and they are evolving, with vendors and standard bodies listening, and platforms becoming fluent in many query languages. This may come as a shock if you've first encountered knowledge graphs in Gartner's hype cycles and trends, or in the extensive coverage they are getting lately. But here it is: Knowledge graph technology is about 20 years old. This, however, does not mean it's stagnating -- on the contrary.
Gartner predicted that the application of graph processing and graph databases will grow at 100% annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science. Graph database vendors seem to verify this across the board: 2019 was a very good year. Having identified knowledge graphs as a key technology for the 2020s, here is how they are evolving.
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/Service Ventures Team
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