#534 The Impact Time Series Data Has on Companies with Mike Freedman, co-founder and CTO of Timescale
Today we’re talking to Mike Freedman, co-founder and CTO of Timescale; and we discuss the impact of time series data; how Mike’s experience as a professor gives him insight as a CTO; and how people are getting ahead professionally by leaning into their strengths.
All of this right here, right now, on the Modern CTO Podcast!
Check out more of Mike and Timescale at https://www.timescale.com/!

About Mike Freedman:
Mike Freedman is the co-founder and CTO of Timescale, as well as the Robert E. Kahn Professor of Computer Science at Princeton University.
Timescale is building a category-defining relational database and cloud platform for time-series data. We are hiring globally @ timescale.com/careers
Mike's work broadly focuses on distributed systems, storage systems, networking, and security. He developed CoralCDN (a decentralized content distribution network serving millions of daily users) and Ethane (which formed the basis for the OpenFlow / software-defined networking architecture). He co-founded Illuminics Systems around IP geolocation and intelligence, which was acquired by Quova (now part of Neustar). Mike is also a technical advisor to Stacks/Hiro, building a more decentralized Internet leveraging the blockchain.
Honors include the ACM Grace Murray Hopper Award, ACM SIGOPS Mark Weiser Award, ACM Fellow, and the Presidential Early Career Award for Scientists and Engineers (PECASE, given by President Obama). Prior to joining Princeton in 2007, he received his Ph.D. in computer science from NYU's Courant Institute and his S.B. and M.Eng. degrees from MIT.
About Timescale:
Timescale is addressing one of the largest challenges (and opportunities) in databases for years to come: helping developers, businesses, and society make sense of the data that humans and their machines are generating in copious amounts.
TimescaleDB is the only open-source time-series database that natively supports full-SQL, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL systems. It is built on PostgreSQL and optimized for fast ingest and complex queries. TimescaleDB is deployed for powering mission-critical applications, including industrial data analysis, complex monitoring systems, operational data warehousing, financial risk management, and geospatial asset tracking across industries as varied as manufacturing, space, utilities, oil & gas, logistics, mining, ad tech, finance, telecom, and more.
Timescale is backed by NEA, Benchmark, Icon Ventures, Redpoint Ventures, Two Sigma Ventures, and Tiger Global.