Ajay Kulkarni and Mike Freedman on the many benefits of data management solutions focused on temporal data.
This week’s guests are Ajay Kulkarni (CEO) and Mike Freedman (CTO), co-founders of Timescale, the startup behind the popular relational database for time-series and analytics. Mike is also a Professor of Computer Science at Princeton University. Our conversation took place a few weeks after Timescale raised a massive funding round and achieved unicorn status. I’ve known Ajay and Mike since the early days of Timescale and this conversation centered on the state of time series data management – use cases and key features – as well as a peek into what lies ahead for this exciting set of tools.
Timescale was founded on the belief that time-series applications needed a database that was built for scale and performance, but also offered the reliability and flexibility found in relational databases. Ajay and Mike also believed that SQL will continue to be an important language for data analysis and analytics. I believe both of these assumptions have been validated by the market.
Highlights in the video version:
- Introduction to Mike Freedman and Ajay Kulkarni
What are prototypical use cases for a time series database?
At what point is it justifiable to move from a modern data platform to a separate system?
Why do people start with what they do and what we offer them from day one?
How do you decide what’s open source and what’s not open source?
Timescale’s target developers
Timescale doesn’t need DevOps
Ubiquity of time series
How does Timescale fit into the world of those who need to do forecasting?
Do you have specific initiatives or integrations with the different ML libraries?
How do you measure success in the open source project?
Number of contributors
Continuous intelligence at scale
The overall database market
- A video version of this conversation is available on our YouTube channel.
- The Data Integration Market
- Data Management Trends You Need to Know
- Top Places to Work for Data Engineers
- Simon Crosby: Delivering Continuous Intelligence at Scale
- Michel Tricot: Modernizing Data Integration
- Mike Freedman was a guest on my old podcast → “A scalable time-series database that supports SQL”