Time Series, the new shiny?

Re:Time Series, the new shiny? by jholman on Tuesday May 10, 2016 @05:45AM (#11666054)

I think the big deal is allegedly "we now have so much data that we have a use for distributed databases with high performance", which allows them to go on and say "and our big deal is that we've built a high-performance distributed database tuned especially for time series".

I only noticed it because I was shocked that there was an actual comprehensible value proposition in a blogpost about a NoSQL product.

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Re:Time Series, the new shiny? by Twisell on Tuesday May 10, 2016 @06:59AM (#11666255)

However being system admin of a PostgreSQL database managing a lot of timeseries I was just like "meh use timestamp and good index, what's the deal?". Also for performance sake just cluster the data using the most used index...

But yeah I guess if you really need NoSQL this should be nice. However sharding based on time will probably be one of the easiest approach for horizontal PostgreSQL deployment.

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Re:Time Series, the new shiny? by sitkack on Tuesday May 10, 2016 @07:53AM (#11666551)

One of the most compelling features of Riak, both KV and TS, is that it is masterless and replicated. When nodes fail for whatever reason, the cluster handles it transparently.

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