Mike Freedman

Timescaledb

About

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.

Mike Freedman has presented the following presentations

    Mike Freedman TimescaleDB: Leveraging PostgreSQL for Reliability at Postgres Conference
    Empowering Organizations to Analyze the Past, Understand the Present, and Predict the Future

    presented by Mike Freedman

    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...

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    Thu 21 2019 Development
    Mike Freedman TimescaleDB: Designing a scalable time-series database on PostgreSQL at PGConf US 2017 [PgConf.US]

    presented by Mike Freedman


    video

    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"...

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    Fri 31 2017 Development