What the heck is time-series data (and why do I need a time-series database)?
Time-series databases are the fastest growing category in databases today. We even held a keynote panel discussing some of the options earlier in the conference. But what exactly is "time-series data"? And why do we need a special database to handle it?
Ajay Kulkarni is the CEO and Co-founder of TimescaleDB, an open-source time-series database built on a relational database. TimescaleDB is engineered up from PostgreSQL (packaged as an extension) and yet scales out horizontally, which means it supports normal SQL and all of the features you expect from a relational database: JOINs, secondary indexes, complex predicates and aggregates, window functions, CTEs, etc. TimescaleDB is in active development by a team of PhDs based in New York City, Stockholm, and Los Angeles. Ajay's previous startup, communication data analysis company Sensobi, was acquired in 2011 by GroupMe/Skype/Microsoft. Ajay led the mobile team at GroupMe, which grew to millions of daily users and billions of monthly messages over a short period of time. His past experience includes roles at Microsoft, Citigroup, and several startups. He holds Bachelors, Masters degrees from MIT in Computer Science, and an MBA from the MIT Sloan School of Management.