Mongodb vs Timeseries Database for timeseries data [closed]

Question

We have certain linux devices which send data like battery percentage, cpu utilization, ram utilization, etc. in certain intervals. We want to run analytics for this data. Should we capture this data in mongo(https://www.mongodb.com/blog/post/time-series-data-and-mongodb-part-1-introduction) or use a specific timeseries database like influxdb or TSDB? The data generated is around 100 GB per day and we want it for last 3 months.

Answer 1

TSDB bencmarks show (TimescaleDB vs MongoDB, InfluxDB vs MongoDB) that dedicated timeseries databases outperform MongoDB. At 100 GB per day x 3 months on-disk data compression is also important. VictoriaMetrics seems to be leading in ingestion rate, query speed and compression for typical use cases although TimescaleDB has recently improved data compression. And have a look at Yandex ClickHouse benchmarks too.