Evan Kaplan

Evan Kaplan, CEO of InfluxData and a leader in open-source time series technologies, dives deep into the world of Physical AI. He contrasts this with generative AI, emphasizing the need for deterministic systems and high-resolution data. Kaplan explains the efficiency of time series databases and how they outperform traditional databases. He also discusses the trade-offs between data resolution and cost, and why real-time processing is crucial for applications in edge computing. Expect fascinating analogies with satellites and autonomous vehicles!

Evan Kaplan, CEO of InfluxData and longtime leader in time series databases, discusses real-time data for physical automation. He talks about why nanosecond-accurate sampling and low-latency storage matter for robotics and autonomous vehicles. He explains trade-offs in sampling and storage, the need for deterministic models in safety-critical systems, and how open source licensing and cloud partnerships are evolving.

Evan Kaplan, CEO of InfluxData, shares the remarkable journey of InfluxDB, the leading open-source time series database, which surged from 3,000 to over 1.3 million users. He discusses the major architectural overhaul to InfluxDB 3.0, tackling the cardinality problem and the shift to object storage. Kaplan reveals insights about the competitive landscape against Databricks and Snowflake, and the tough lessons learned in monetizing their vast user base. The evolution of IoT and its critical role in analytics also takes center stage in this engaging conversation.