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docs/VictoriaLogs: use exact number when comparing efficiency of VictoriaLogs and Elasticsearch

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Aliaksandr Valialkin 2023-07-14 10:34:29 -07:00
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docs/VictoriaLogs/README.md
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@ -15,7 +15,7 @@ VictoriaLogs provides the following key features:
See [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line) for details. See [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#command-line) for details.
- VictoriaLogs capacity and performance scales linearly with the available resources (CPU, RAM, disk IO, disk space). - VictoriaLogs capacity and performance scales linearly with the available resources (CPU, RAM, disk IO, disk space).
It runs smoothly on both Raspberry PI and a server with hundreds of CPU cores and terabytes of RAM. It runs smoothly on both Raspberry PI and a server with hundreds of CPU cores and terabytes of RAM.
- VictoriaLogs can handle much bigger data volumes than Elasticsearch and Grafana Loki when running on comparable hardware. - VictoriaLogs can handle up to 30x bigger data volumes than Elasticsearch and Grafana Loki when running on the same hardware.
See [these docs](#benchmarks). See [these docs](#benchmarks).
- VictoriaLogs supports fast full-text search over high-cardinality [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model) - VictoriaLogs supports fast full-text search over high-cardinality [log fields](https://docs.victoriametrics.com/VictoriaLogs/keyConcepts.html#data-model)
such as `trace_id`, `user_id` and `ip`. such as `trace_id`, `user_id` and `ip`.