VentureBeat November 7, 2024
As enterprises continue to invest heavily in advanced analytics and large language models (LLMs), graph technology has become one of the most favored approaches for setting up the data stack. It allows users to understand complex relationships in their datasets, which are often not apparent in traditional relational databases.
However, maintaining and querying graph databases alongside traditional relational databases is quite a hassle (and an expensive one). Today, PuppyGraph, a San Francisco-based startup founded by former Google and LinkedIn employees, raised $5 million to solve this gap with the world’s first and only zero-ETL query engine. The engine allows users to query their existing relational data as a unified graph without needing a separate graph database and long extract-transform-load (ETL)...
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