ConfPad

TimescaleDB offers three seemingly heretical insights about data: (1) all data is time-series; (2) what you've heard about it is wrong; and (3) SQL should and does remain the lingua franca for databases. These insights enable new possibilities for architecting database systems, and Mike briefly discusses how TimescaleDB, an open-source time-series database purpose-built on top of PostgreSQL, realizes these needs. TimescaleDB offers three seemingly heretical insights about data and the future of data storage: 1- All data is time-series data. 2- What you've heard about modeling and storing time-series data is wrong. 3- Time-series data has an inherently relational structure; use SQL. Time-series data is quickly becoming a major workload across practically every industry. Acting on time-series data enables us to understand the past, have more control over the present, and predict the future. Putting it to use is a critical business opportunity. Mike discusses why these insights matter and how they enable new possibilities for architecting database systems. He also reviews how TimescaleDB, an open-source time-series database purpose-built on top of PostgreSQL, enables the flexibility, power, and performance needed to realize time-series data storage and analytics.