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dataloopio

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Mon, Oct 21, 2013, 7:44 PM UTC
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About dataloopio

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Recent public activity

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  2. comment
    Comment #12689252

    DalmatinerDB, InfluxDB, Prometheus and Graphite each claim their numbers based on similar benchmark methods. The results range from 500k/sec to a couple of million metrics /sec. Dr…

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    Comment #12689045

    Those sources contain literally no technical detail. At 1.1 million metrics per second is that a 40 node druid cluster?

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    Comment #12689033

    Most benchmarks are given a colour for reliability and link to repeatability.

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    Comment #12688624

    No bias there then

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    Comment #12688522

    Can you point me to a source for 'routinely stream millions of events per second into druid'? While it is true that druid is great at querying billions of rows per second it's not …

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    Comment #12688318

    Broader comparison of the facts: https://docs.google.com/spreadsheets/d/1sMQe9oOKhMhIVw9WmuCE... Also a blog comparison: https://blog.dataloop.io/top10-open-source-time-series-data…

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    Comment #12495291

    It's in the spreadsheet. I've not tried it and there wasn't much info available at the time of writing the blog.

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    Comment #12495249

    Hi, I'm the original author. I think that GCE instance has 2Gb per core but I'd need to check. It wasn't bottlenecked on network bandwidth though. The other benchmarks are linked i…

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    Comment #12401113

    I had a look at Citus when evaluating time series databases and the documents said that work was still under way on masterless setup for faster ingestion (up to 500k metrics /sec).…

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    Comment #12401112

    I had a look at Citus when evaluating time series databases and the documents said that work was still under way on masterless setup for faster ingestion (up to 500k metrics /sec).…

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    Comment #12381108

    The raw data in the spreadsheet, which I have continued to update and is now up to 15 databases with 30 characteristics each, is indeed applicable to both people who want to pick u…

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    Comment #12380326

    Hi, the wording could probably use some tidying up around that part and I'm open to suggestions. However, I do think it's a big problem with columnar based time series databases. W…

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    Comment #12374452

    Hi, that is a good point. It was all written yesterday so is pretty up to date :) I've added some dates to the top of the blog post. Thanks!

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    Comment #12373571

    The blog discusses storage sizes with very similar maths examples. DalmatinerDB uses 1 byte of storage per point compared to at the top end Elasticsearch using 22 bytes per point. …