Mike Freedman
Timescaledb
Michael J. Freedman is a Professor in the Computer Science Department at Princeton University, as well as the co-founder and CTO of Timescale, which provides an open-souce database that scales out SQL for time-series data. His research broadly focuses on distributed systems, networking, and security, and has led to commercial products and deployed systems reaching millions of users daily. Honors include a Presidential Early Career Award (PECASE), Sloan Fellowship, NSF CAREER Award, ONR Young Investigator Award, DARPA CSSG membership, and multiple award publications.
Upcoming presentations
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Past presentations
TimescaleDB: Leveraging PostgreSQL for Reliability
Empowering Organizations to Analyze the Past, Understand the Present, and Predict the Future
Time-series databases are one of the fastest growing segments of the database market, spreading across industries and use cases. Common requirements include ingesting high volumes of structured data; answering complex, performant queries for both recent and historical time intervals; and performing specialized time-centric analysis and data management.
Today, many developers working with tim...
Mar 21 2019
Time-series data is emerging everywhere, from IoT sensors and industrial machines, to transportation and logistics, to devops and monitoring, to finance. We have found that many users start by storing their time-series data in PostgreSQL, but then lose its query power and ecosystems by migrating to some NoSQL or time-series architecture once they reach a certain scale. Yet this "SQL or scale"...