Timescale Timeout: A Chat About Time Series for AnalyticsRemoved

Florian Herrengt, co-founder of Nocodelytics, an analytics platform, chats with Chris Engelbert about his journey to TimescaleDB, a time-series database built on top of PostgreSQL. Florian initially used PostgreSQL for his analytics platform but faced scalability issues due to the growing amount of data. He tried other solutions like AWS Timestream and Influx, but found limitations, especially regarding deletion of data, which was crucial for GDPR compliance. After researching TimescaleDB, he decided to switch, and it proved to be a game-changer, reducing query latency from 20 minutes to sub-seconds. Florian praises the simplicity and performance of TimescaleDB, its wide table model, and its ability to compress data, making it an ideal choice for growing startups or products that need to adapt quickly. He also appreciates the community support and resources available through Timescale's Toolkit.

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