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README.md: mention Thanos vs VictoriaMetrics
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@ -29,7 +29,8 @@ Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaM
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may be crammed into a limited storage comparing to TimescaleDB.
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* Optimized for storage with high-latency IO and low iops (HDD and network storage in AWS, Google Cloud, Microsoft Azure, etc). See [graphs from these benchmarks](https://medium.com/@valyala/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b).
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* A single-node VictoriaMetrics may substitute moderately sized clusters built with competing solutions such as Thanos, Uber M3, Cortex, InfluxDB or TimescaleDB.
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See [vertical scalability benchmarks](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae).
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See [vertical scalability benchmarks](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae)
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and [comparing Thanos to VictoriaMetrics cluster](https://medium.com/@valyala/comparing-thanos-to-victoriametrics-cluster-b193bea1683).
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* Easy operation:
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* VictoriaMetrics consists of a single executable without external dependencies.
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* All the configuration is done via explicit command-line flags with reasonable defaults.
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@ -472,7 +473,7 @@ Single-node VictoriaMetrics doesn't support multi-tenancy. Use [cluster version]
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Though single-node VictoriaMetrics cannot scale to multiple nodes, it is optimized for resource usage - storage size / bandwidth / IOPS, RAM, CPU.
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This means that a single-node VictoriaMetrics may scale vertically and substitute moderately sized cluster built with competing solutions
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such as Thanos, Uber M3, InfluxDB or TimescaleDB.
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such as Thanos, Uber M3, InfluxDB or TimescaleDB. See [vertical scalability benchmarks](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae).
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So try single-node VictoriaMetrics at first and then [switch to cluster version](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster) if you still need
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horizontally scalable long-term remote storage for really large Prometheus deployments.
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