The post discusses the challenges faced by Datacake, a low-code IoT platform, in storing and managing large amounts of data. They use a time-series database and have successfully migrated from a self-managed solution to a cloud-based solution. Datacake stores around 20 million measurements per day for about 20,000 users, and they are continuously growing.
•12m read time• From timescale.com
Table of contents
The IoT Data ChallengeThe Data PipelineFrom Influx to TimescaleChoosing Timescale Over Self-Managed TimescaleDBThe Migration ProcessAbout Running TimescaleSort: