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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