In this week's episode of simplyblock's Cloud Commute podcast, host Chris Engelbert sits down with Jennifer Reif, a developer advocate at Neo4j. Jennifer dives into the fascinating world of graph databases, explaining how Neo4j stores data as entities and relationships, making it perfect for complex queries involving networks, social structures, supply chains, and more. She highlights the advantages of Neo4j over traditional relational databases, especially in handling complex relationships without needing extensive knowledge of the data model upfront. Jennifer also discusses the ease of getting started with Neo4j using their database as a service, Neo4j Aura, and the benefits of Cypher, a user-friendly graph query language. The conversation touches on the integration of Neo4j with Kubernetes, the future of databases in the AI landscape, and the practical applications of graph databases in real-world scenarios. Tune in for an insightful discussion on leveraging graph databases for enhanced data management and analysis. If you want to get into contact with Jennifer: LinkedIn: https://www.linkedin.com/in/jmhreif/X/Twitter: https://twitter.com/JMHReifBlog: https://jmhreif.com/You can find Neo4j at: Website: https://neo4j.com/LinkedIn: https://www.linkedin.com/company/neo4j/X/Twitter: https://twitter.com/neo4j Additional show notes: Neo4j + Kubernetes Demo: https://github.com/JMHReif/kubernetes-neo4j-javaNeo4j Aura: https://neo4j.com/cloud/platform/aura-graph-database/Breaktime Tech Talks: https://jmhreif.podbean.com/Neo4j developer guides: https://neo4j.com/docs/getting-started/Neo4j Graphacademy: https://graphacademy.neo4j.com/OpenCypher: https://opencypher.org/GQL ISO Standard: https://www.gqlstandards.org/CSI Driver Listing: https://storageclass.info/