GraphGeeks Podcast
Quick History of Graph Databases
Jul 11, 2024
Semih Salihoğlu, CEO of Kuzu and professor at the University of Waterloo, shares insights into the fascinating history of graph databases. He traces their evolution from early systems like IDS to modern architectures such as Neo4j and Kùzu. The conversation illuminates the impact of the World Wide Web on document stores like MongoDB and explores RDF as a flexible reasoning system tied to the semantic web. Semih also discusses the future of graph databases, particularly their integration with AI, emphasizing the importance of explainability and advancements in querying capabilities.
49:49
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Quick takeaways
- The evolution of graph databases originated with the Integrated Data Store (IDS), establishing core concepts that still underpin modern database management systems.
- Modern property graph databases, exemplified by Neo4j, enhance user experience and analytics beyond traditional SQL through intricate data interconnectedness.
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Origins of Graph Databases
The history of graph databases is traced back to the Integrated Data Store (IDS), which was the first database management system developed between 1961 and 1964 at General Electric. This system utilized a network model, allowing for records to be linked together, akin to how nodes in a graph are connected. Unlike the tedious process of sequentially searching through file systems, IDS allowed users to interact with data through a logical model that abstracted physical storage details. The innovations of IDS laid the groundwork for modern database management by formally defining how records could be linked, a principle that remains foundational in current graph database systems.
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