Hi, (TimescaleDB dev here) Promscale (https://github.com/timescale/promscale), the latest TimescaleDB adapter for Prometheus does support our time-series-optimized compression (https://blog.timescale.com/blog/building-columnar-compression-in-a-row-oriented-database/). So data size should be much less of an issue now. In fact, we expect compression to be similar to Prometheus.
Promscale also now natively support PromQL and the same http endpoints for querying as Prometheus (in addition to remote_read). So querying should be much faster now. Are you perhaps still using the old adapter? If so we'd highly recommend switching. Please reach out with any additional questions you may have. Thanks, Mat Arye [email protected] Promscale team lead -- You received this message because you are subscribed to the Google Groups "Prometheus Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-users/40761889-bb13-478b-86dc-88b3aac3653fn%40googlegroups.com.
