Case Study: Constellation Research achieves insights into IoT data relationships with Neo4j

A Neo4j Case Study

Preview of the Constellation Research Case Study

Constellation Research - Customer Case Study

Constellation Research, through VP and Principal Analyst Andy Mulholland, highlighted the growing challenge of making sense of data from IoT, smart systems, and connected devices. As more “things” generate contextual data, the firm noted that traditional databases struggle to reveal the relationships needed to understand events and patterns, making graph technology such as Neo4j increasingly relevant.

Neo4j was described as the leading graph database for these interconnected use cases, especially where data must be shared across multiple parties and analyzed for relationships in real time. The solution helps organizations connect and interpret large volumes of sensor and contextual data, enabling smarter analysis for IoT scenarios and future-facing applications. Constellation Research pointed to Neo4j’s widespread adoption and open-source fit as key reasons it is well positioned for this market.


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Constellation Research

Andy Mulholland

VP & Principal Analyst


Neo4j

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