Thank you for the information, I'll have a look.
> On Apr 10, 2017, at 06:02, Steven Le Roux <leroux.ste...@gmail.com> wrote: > > Hi, > > I'm head of @OvhMetrics which is a Cloud scaled managed time series platform > targetting IoT and Monitoring. > > We're also using @warp10io components with some glue and optimisations. The > storage layer is based on Apache HBase which is to me an ideal compromise > between storage efficiency (bytes per data point, compression, no indexing), > and performance (range scan capacities, custom filters, ...) > > This allows us to use two paradigm to produce data : either you use the HTTP > endpoint, either MR targetting directly HBase since Warp10 has strong hadoop > integration. > > Advantages of Warp10 vs Influx : > - Warp10 is fully open source, influx is not (clustering not available as > OSS) > - Influx is good at ingestion but it needs your data to come in order. Real > time use cases show that data points don't arrive in order (some are > retained, buffering make older point to arrive after newest, etc...) > - Warp10 has been measured at 1.8M data points/s per thread! (and not in an > optimised case) > - The true power of Warp10 is WarpScript: its query language that adopts a > data flow approach and has been designed for Time series from ground up. Our > customers are doing truely amazing things with WarpScript that contains > nearly 800 functions... It brings analytics and signal processing over your > time series data > - Warp10 can be deployed either standalone (in-mem or leveldb) or > distributed mode (hbase) > - Security is mandatory and does not affect performance > - you can delete massive amounts of data range or just a single point > easily. > > > Matt, if you want few metrics of our use of Warp10 inside OVH : > - 450M of unique series > - nominal load of 1.5M datapoints/s > - we have a delete rate of 10M data points/s > > > If you have more interest in Warp10, you can ask there : > https://groups.google.com/forum/#!forum/warp10-users > > > Regards, > > > >> On Mon, Apr 10, 2017 at 10:26 AM, Alexis Gendronneau >> <a.gendronn...@gmail.com> wrote: >> hi, >> >> Did you know http://www.warp10.io/ ? It's a geotimeserie database. As far as >> i know this techno can handle 100k+ points per node ingestion, and its >> query language is powerful. I already tried it to process timeseries >> correlation. I'm pretty sure you wont be disappionted by it. >> >> Regards, >> >> 2017-04-09 17:07 GMT+02:00 Matt <dromitl...@gmail.com>: >>> I just noticed the first link is wrong, I intended to send [1] instead. >>> >>> On a second look at InfluxDB, the compression is really better than Druid, >>> same for write and read performance. I'll have a deeper look before >>> committing to one. >>> >>> [1] >>> https://cdn2.hubspot.net/hub/528953/hubfs/Screen_Shot_2016-08-27_at_00.32.42.png?t=1491606817725 >>> >>> On Sat, Apr 8, 2017 at 9:40 PM, Matt <dromitl...@gmail.com> wrote: >>>> I compared them some days ago. >>>> >>>> I found a useful article about many of the tsdb available out there [1], >>>> check the big table on the article, it's really helpful. The thing that >>>> bothered me the most about InfluxDB was not being able to setup a cluster >>>> using the open source distribution, that may not be a problem in the >>>> future but I preferred to be able to do so now. >>>> >>>> Regarding Druid there is also a really interesting talk by one of its >>>> committers [2]. I liked some of the decisions they made regarding the way >>>> queries are executed and the way the data is stored on disk (they have >>>> taken some ideas from the search engine industry). >>>> >>>> The other promising alternative is Prometheus, though I haven't had a look >>>> at it yet, I plan to do so in the near future. >>>> >>>> If anyone is using a time-series database and wants to tell us about it >>>> that would be helpful! >>>> >>>> Best regards, >>>> Matt >>>> >>>> [1] >>>> https://blog.netsil.com/a-comparison-of-time-series-databases-and-netsils-use-of-druid-db805d471206 >>>> [2] https://www.youtube.com/watch?v=vbH8E0nH2Nw >>>> >>>>> On Sat, Apr 8, 2017 at 8:16 PM, Ted Yu <yuzhih...@gmail.com> wrote: >>>>> I found this related post: >>>>> >>>>> https://groups.google.com/forum/#!topic/druid-user/Co5WUZOMnEk >>>>> >>>>>> On Sat, Apr 8, 2017 at 3:56 PM, Traku traku <tra...@gmail.com> wrote: >>>>>> I'm using Influxdb. I think influxdb is easier as time-series database >>>>>> solution. >>>>>> >>>>>> Did you compare them? >>>>>> >>>>>> Best regards. >>>>>> >>>>>> 2017-04-07 21:01 GMT+02:00 Matt <dromitl...@gmail.com>: >>>>>>> Hi all, >>>>>>> >>>>>>> I'm looking for an example of Tranquility (Druid's lib) as a Flink sink. >>>>>>> >>>>>>> I'm trying to follow the code in [1] but I feel it's incomplete or >>>>>>> maybe outdated, it doesn't mention anything about other method >>>>>>> (tranquilizer) that seems to be part of the BeamFactory interface in >>>>>>> the current version. >>>>>>> >>>>>>> If anyone has any code or a working project to use as a reference that >>>>>>> would be awesome for me and for the rest of us looking for a >>>>>>> time-series database solution! >>>>>>> >>>>>>> Best regards, >>>>>>> Matt >>>>>>> >>>>>>> [1] https://github.com/druid-io/tranquility/blob/master/docs/flink.md >>>>>> >>>>> >>>> >>> >> >> >> >> -- >> Alexis Gendronneau >> >> alexis.gendronn...@corp.ovh.com >> a.gendronn...@gmail.com >
