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I was once in the market for time series databases, but all I could find required down sampling of older data. I don't know if this has changed, and to be fair I haven't been looking for quite some time, but does yours allow for keeping data with the captured precision in perpetuity (or until my hard drive fills up)? My guess from the way you describe your approach is yes, but I wanted to check.

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Yes. We're pretty good with large volumes of data.

Eventually all local drives fill up though.

When ingesting data we partition data by time. By default we partition by day. This give you the flexibility to detach partitions, store them somewhere slower and cheaper with more capacity for longer term storage and reattach them later if need be.

Built on top of our open source primary product, we also have a cloud variant of QuestDB which runs on AWS. One of the things that we're building there is cold storage. It will automate this process onto S3 such that if a query ever needs to access this older data it will re-enstate it automatically for you with no admin overhead.

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