TimescaleDB co-founder here. Glad to hear it is working well for you. If you have any feedback on how we can make it work even better, would love to here it - ajay (at) timescale.com
For others reading this: TimescaleDB can easily scale to millions of metrics a second [0][1], but to be honest we've found that few folks need that level of scale.
But people do care about whether or not they can trust something new. If you're already comfortable with Postgres then you're already comfortable with TimescaleDB.
Also! Other solutions are great too. E.g., I really like the Thanos model with object storage. I don't think there is a "best" option out there - it really just depends on what you want to optimize for your use case.
For others reading this: TimescaleDB can easily scale to millions of metrics a second [0][1], but to be honest we've found that few folks need that level of scale.
But people do care about whether or not they can trust something new. If you're already comfortable with Postgres then you're already comfortable with TimescaleDB.
Also! Other solutions are great too. E.g., I really like the Thanos model with object storage. I don't think there is a "best" option out there - it really just depends on what you want to optimize for your use case.
[0] https://blog.timescale.com/blog/building-a-distributed-time-...
[1] https://news.ycombinator.com/item?id=20760324