What is a time series database and why should you consider using one?

In this podcast, we will examine challenges that traditional relational databases struggle to address efficiently and how to implement high-performance time-series data systems with minimal operational overhead.

We'll explore how modern open source technologies like InfluxDB, Apache Arrow, DataFusion, and turn high-volume, high-velocity, high-resolution manufacturing and industrial data into actionable intelligence, without compromising performance and keeping storage costs low.

What you'll learn:

• Why traditional databases struggle with modern manufacturing data requirements

• Key characteristics that make time series databases essential for industrial operations

• How to achieve real-time data processing at massive scale with minimal infrastructure overhead

• Practical implementation strategies using modern open source technologies

• Real-world manufacturing use cases demonstrating measurable ROI and operational improvements

Brought to you by: influxdb

SPEAKER:

Scott Anderson, Product Manager Scott Anderson is a Product Manager at InfluxData, leading product management for the company's core database. Before transitioning into product management, he served as the Technical Lead for InfluxData's Docs team, where he specialized in translating complex technical concepts into clear, accessible documentation.

With a formal background in graphic design and a self-taught expertise in coding, Scott combines principles from both disciplines to inform his approach to product development, software documentation, and information design.

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