This Week in Neo4j – Why Kettle?, Pokémons in a Graph, Influencers in the Graph Community
Blog post from Neo4j
This week's featured community member is Mayank Gupta, a Certified Neo4j Developer who created a YouTube channel creating Neo4j tutorial videos in Hindi. Igor Rozani taught the meetup about the Pokémon universe using graphs, while Andrea Santurbano showed how to produce and consume Kafka data streams directly via Cypher with Streams Procedures. Tomaz Bratanic explored the Depth First Search algorithm, and Jennifer Reif discussed why you'd use Kettle for Neo4j data import. The community also shared various tweets and blog posts on topics such as influencer detection in the Graph Database community and performance differences between "Relationship as Types" vs "Relationship as Properties".
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 1 | 61 | 31 | 12 | +110% |
| Real-time | 1 | 584 | 143 | 46 | +22% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.