Streaming Graphs, Because We Cannot Afford to Query Anymore
Data Architecture Track | KGC 2023
•
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.
Up Next in Data Architecture Track | KGC 2023
-
graph.build.done
After 10+ years implementing knowledge graph solutions across many industries, we created graph.bulid, to greatly lower the time and cost of creating graph models, semantic or property, from any data.
First we will demonstrate our highly configurable, highly available, cloud ready, horizotally... -
"Multi" Model: An Ontology For Every ...
A multi-model database allows multiple data representations to coexist in the same instance. In simpler times, that meant two models -- such as document and graph -- in one. In this presentation, I tackle the multi-model dream of tomorrow: a single model with data spanning many and various databa...
-
Embrace Complexity
How to build a Decentralised Knowledge Graph (or a Linked Data Mesh) that will allow an organisation to connect most (theoretically all) of its data together.
