How time series databases unlock real-time data for robotics

The article highlights a Robot Report Podcast discussion with Doug Pagnutti, industrial developer advocate at Tiger Data, about using time series databases in industrial automation, robotics, and AI applications. Pagnutti discusses how databases such as TimescaleDB can help teams integrate data from varied sensors, manage it at scale, and optimize performance in cloud and edge environments.

The episode presents time series data infrastructure as relevant to industrial systems and IIoT deployments. Tiger Data is identified as the creator of TimescaleDB, and the article's sponsor material describes the software as an extension of Postgres with time-series primitives, columnar storage, and automatic partitioning. According to that material, these capabilities are intended to keep queries fast on live data without requiring pipelines, migration, or a separate database system.

Pagnutti brings more than 12 years of experience in oil and gas and manufacturing automation. His background includes PLCs, robots, and SCADA systems, followed by industrial software development work at Dell EMC and VTScada. At Tiger Data, he helps teams build industrial systems and assists automation engineers with time-series data infrastructure for IIoT deployments at scale.

The article says the interview appears in Episode 254 of The Robot Report Podcast. It also lists other news items covered in the episode: Unitree's view that a GPT moment for robots remains years away, Vicarious Surgical shutting down, and a $152 million Series A for a U.K.-based humanoid company.