Streaming Graphs, Because We Cannot Afford to Query Anymore
Data Architecture
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28m
Graphs help answer complex questions, but they have traditionally been far too slow to be used in high-volume streaming data applications. While graph _databases_ have served batch-processing use cases for decades, a new streaming architecture is showing profound results for modern high-volume data pipelines. Quine (https://quine.io) is a new open source "streaming graph" with a fundamentally new architectural design allowing the common property graph data model to easily scale beyond millions of events per second. This talk will explore the design and applications of the Quine streaming graph for modern high-volume data pipelines.
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