very nice.

https://github.com/klauspost/compress  just added zstd all in Go, might be 
a lovely way to remove the CGO dependency.

On Tuesday, June 18, 2019 at 8:15:20 AM UTC-5, Aliaksandr Valialkin wrote:
>
> Hello all,
>
> I'm happy to announce VictoriaMetrics - fast open source time series 
> database written in Go - 
> https://github.com/VictoriaMetrics/VictoriaMetrics .
> It is written entirely in Go except of gozstd 
> <https://github.com/valyala/gozstd> part, which is a cgo wrapper for zstd 
> <http://facebook.github.io/zstd/>. It has the following features:
>
> - It contains simple Go code without complex abstractions and fancy 
> algorithms, so everyone can inspect it and contribute to it 
> <https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/README.md#community-and-contributions>
> .
> - It contains the minimum number of external dependencies - see go.mod 
> <https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/go.mod>. 
> This means faster compile times and slimmer binaries. Read more about 
> stripping dependency bloat here 
> <https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d>
> .
> - It doesn't use mmap and WAL. Read more about this in the following 
> articles:
>    * 
> https://medium.com/@valyala/mmap-in-go-considered-harmful-d92a25cb161d
>    * 
> https://medium.com/@valyala/wal-usage-looks-broken-in-modern-time-series-databases-b62a627ab704
> - It is easy to configure and operate.
> - It is designed to be used as long-term storage for Prometheus.
> - It may collect data from multiple Prometheus instances via standard 
> remote write API 
> <https://prometheus.io/docs/operating/integrations/#remote-endpoints-and-storage>,
>  
> so the data may be queried later in a single query (aka global querying 
> view).
> - It provides PromQL 
> <https://medium.com/@valyala/promql-tutorial-for-beginners-9ab455142085>-compatible
>  
> query language, so it may be used as drop-in replacement for Prometheus 
> dashboards in Grafana.
> - It is optimized for speed and low resource usage.
> - It provides good on-disk compression 
> <https://medium.com/@valyala/victoriametrics-achieving-better-compression-for-time-series-data-than-gorilla-317bc1f95932>
>  
> that is better than Gorilla compression 
> <https://blog.acolyer.org/2016/05/03/gorilla-a-fast-scalable-in-memory-time-series-database/>.
>  
> This means more data may be stored without downsampling.
> - It provides free open source cluster version 
> <https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster>.
>

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