Kiu/VictoriaMetrics
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Updated FAQ (markdown)

Aliaksandr Valialkin 2018-10-10 19:09:05 +03:00
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FAQ.md

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* Q: _Are there performance comparisons with other solutions?_
A: We modified [tsbs benchmark from TimescaleDB](https://blog.timescale.com/time-series-database-benchmarks-timescaledb-influxdb-cassandra-mongodb-bc702b72927e) and run single-server performance tests for VictoriaMetrics, TimescaleDB and InfluxDB. Results are available [here](https://docs.google.com/spreadsheets/d/158AAsLMlGZ72D4MHfSdru_9dt3jpHymqo8Up_vp3LfU/edit?usp=sharing). In short, VictoriaMetrics is up to 8x faster than TimescaleDB and InfluxDB on heavy queries. Additionally, it uses 1/70th of storage space for test data comparing TimescaleDB.
A: We modified [tsbs benchmark from TimescaleDB](https://blog.timescale.com/time-series-database-benchmarks-timescaledb-influxdb-cassandra-mongodb-bc702b72927e) and run single-server performance tests for VictoriaMetrics, TimescaleDB and InfluxDB. Results are available [here](https://docs.google.com/spreadsheets/d/158AAsLMlGZ72D4MHfSdru_9dt3jpHymqo8Up_vp3LfU/edit?usp=sharing). In short, VictoriaMetrics is up to 8x faster than TimescaleDB and InfluxDB on heavy queries when run on the same hardware. Additionally, it uses 1/70th of storage space for test data comparing to TimescaleDB.
Please note that VictoriaMetrics perfectly scales on multiple instances, so it should achieve xN better results on N instances.