#GraphCast: 8 Tips to Decide If Knowledge Graph Is Right for You

Junior Editor, Neo4j
1 min read

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.
Last time, our Managing Editor, Deb Cameron, revealed how graphs tackle complex problems.

This week, I want to share with you some tips to help you determine whether knowledge graph is right for you – from Ashleigh Faith’s amazing Knowledge Graph Playlist.
Ashleigh walks you through eight questions that you need to ask yourself before hopping on the knowledge graph trend:
- Do you have highly related data?
- How often do you join data?
- How much time/money/resources do you use doing it?
- What databases and data structures do you already have?
- How much does your staff know about graphs?
- Do you already have graph or graph-like data?
- Do you have any downstream systems that will use graph data?
- How will you maintain the data?
Catch all our videos when you subscribe to the Neo4j YouTube channel, updated weekly with tons of graph tech goods.
Subscribe Me