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Updated FAQ (markdown)
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* Q: _How does VictoriaMetrics compare to other clustered TSDBs with [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/) support such as [M3 from Uber](https://eng.uber.com/m3/), [Thanos](https://github.com/improbable-eng/thanos), [Cortex](https://github.com/cortexproject/cortex), etc.?_
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A: VictoriaMetrics is simpler, faster and provides [useful extensions for PromQL](ExtendedPromQL). The simplicity is twofold:
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- It is simpler for our clients - just copy-n-paste URLs for [Prometheus remote_write API](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#%3Cremote_write%3E) and [Grafana datasource for Prometheus](http://docs.grafana.org/features/datasources/prometheus/) and that's it! There is no more headache about replication, backups, scalability and capacity planning for Prometheus local storage.
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- It is simpler for our clients - just copy-n-paste URLs for [Prometheus remote_write API](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#%3Cremote_write%3E) and [Grafana datasource for Prometheus](http://docs.grafana.org/features/datasources/prometheus/) and that's it! There is no more headache about management, replication, backups, scalability and capacity planning for Prometheus local storage or third-party [sidecars](https://github.com/improbable-eng/thanos/blob/master/docs/components/sidecar.md).
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- VictoriaMetrics has simpler architecture, which means less bugs and more useful features in a long run comparing to competing TSDBs.
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* Q: _How does VictoriaMetrics compare to [InfluxDB](https://www.influxdata.com/time-series-platform/influxdb/)?_
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