@benj Thanks for the post. We’ll definitely look into it. Just curious, What are the current characteristics of your data (size & throughput), specifically:
- How many sensors / tags are you looking to ingest / analyze data for?
- What is the granularity of the incoming data?
- What throughput is the data coming int at?
- What is the expected output time for insight for this data?
Given the above characteristics, what is the current bottleneck in the platform that is preventing us from achieving the business goal?
While we’re continuously enhancing the time series infrastructure at C3 (and would love to investigate timescale db), we would love to know what use cases which cannot be solved by the C3 time series engine, that are triggering the need for a specific solution?
We definitely want to build the next generation time series experience on the c3 IoT platform (probably even much better than timescale db). Would love to understand about the specifics.