Three heretical opinions about the future of time-series data

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.

For more information:

• https://github.com/timescale/timescaledb
• https://docs.timescale.com/
• https://slack.timescale.com/