Who’s Afraid of Graphs

on YouTube ↗41m

" summary

Describes moving a heavy permissions sub-system out of MySQL into a graph-aware stack: demos use Neo4j, OrientDB, Gremlin and Cypher against sample datasets (permissions, IMDb, game economy). Claims a permissions hotspot ran close to one million queries per minute and that graph queries on ~1M items return in milliseconds versus 10–20 seconds on MySQL. Recommends isolating the connected problem into a graph database for fast native traversals; also contrasts OLTP graph DBs with big-data graph frameworks for billion+ node jobs.

AI-written summary · about

" chapters (6)

1. 0:00Introduction to graphs
2. 4:24Why graph databases exist
3. 10:26Graph database use cases
4. 15:24Querying graphs with languages
5. 23:54Live demo of graph queries
6. 37:42Q&A

" related talks

• 01h 00mWho’s Afraid of Graphs?David Ostrovsky · Build Stuff 2017
• 49mModern Graph DatabasesDavid Ostrovsky · Build Stuff 2025
• 01h 01mA Skeptics Guide to Graph DatabasesDavid Bechberger · NDC Oslo 2019
• 29mAll about graphs in DatabaseMelliyal Annamalai · Oracle DatabaseWorld 2021
• 32mUnderstanding Complexly Connected Data using Graph DatabasesKarin Wolok · Women in Tech Virtual Conference 2020
• 56mWhat are Graph Databases and Why should I care?Dave Bechberger · NDC London 2017
• 26mGraph Databases will change your (freakin') lifeElena Williams · PyConline AU 2020
• 32mNever use a graph database!Jorrit van der Ven · Heapcon 2022