According to a recent LinkedIn post from Databricks, U.K.-based Octopus Energy is using Databricks’ platform to manage a 1.8 GW virtual power plant composed of electric vehicles across eight countries. The post describes how Octopus Energy uses data to optimize when EVs charge and discharge, aiming for lower power costs and improved grid stability.
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The company’s LinkedIn post highlights that Octopus Energy ingested more than 10 trillion rows of data last year into Databricks, with Unity Catalog enabling secure access for thousands of internal users. The post also suggests that Octopus Energy is exploring ways to bring generative AI closer to governed data, potentially broadening access to advanced analytics and experimentation.
For investors, the post underscores Databricks’ role in large-scale, mission-critical energy use cases, reinforcing its position in the energy and utilities vertical. Demonstrated handling of massive data volumes and secure governance for a large user base may support Databricks’ value proposition to other enterprises with complex data needs.
The exploration of GenAI on top of governed data indicates a potential expansion of Databricks’ higher-value AI workloads, which could drive incremental platform usage and stickiness. If replicated across other customers, this pattern may strengthen Databricks’ competitive position in the AI and data infrastructure market, with implications for long-term growth potential.