How time series databases unlock real-time data for robotics

The Robot Report Podcast · Unlocking the Power of Time Series Databases for Industrial and Robotic Systems In Episode 254 of The Robot Report Podcast, we talk to Doug Pagnutti, developer advocate at Tiger Data. He discusses how time series databases like TimescaleDB are improving industrial automation, robotics, and AI applications. He shares insights about integrating these databases with various sensors, managing data at scale, and optimizing performance both on the cloud and on the edge.

Doug Pagnutti of Tiger Data. Pagnutti is an industrial developer advocate at Tiger Data, where he helps teams build real-world industrial systems. He spent 12+ years in oil and gas and manufacturing automation, working on PLCs, robots, and SCADA systems before moving into industrial software development at Dell EMC and VTScada.

He bridges the OT/IT gap by helping automation engineers tackle time-series data infrastructure for IIoT deployments at scale. -based Humanoid secures $152M in Series A Sponsors Thanks to our sponsors who make this content possible. Every growing Postgres database eventually hits a wall.

Queries slow down, dashboards lag, and teams consider adding a second database. Tiger Data, creators of TimescaleDB, extend Postgres with time-series primitives, columnar storage, and automatic partitioning so your queries stay fast on live data. No pipelines, no migration, no second system.

Just Postgres, built for the workload you actually have. com Would you like to be a guest on a future episode? com The post How time series databases unlock real-time data for robotics appeared first on The Robot Report .