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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
This depends what you mean by "scaling". Postgres can easily handle 10s of Terabytes on a single server (though this is dependent upon your use case), but when it comes to multiple host sharded databases at the moment MySQL has some more mature options like Vitess [1], where your options in Postgres are things like Citus [2] which just recently open sourced their shard mover, but still have the HA and replication feature behind expensive enterprise pricing.
For most people not dealing with the multiple terabyte database size, Postgres is what I would definitely recommend. But once you get above that, then there are no easy answers and you would need to look at what YouTube did with Vitess [3]
[1] https://vitess.io/
[2] https://www.citusdata.com/
[3] https://vitess.io/docs/overview/history/
This depends what you mean by "scaling". Postgres can easily handle 10s of Terabytes on a single server (though this is dependent upon your use case), but when it comes to multiple host sharded databases at the moment MySQL has some more mature options like Vitess [1], where your options in Postgres are things like Citus [2] which just recently open sourced their shard mover, but still have the HA and replication feature behind expensive enterprise pricing.
For most people not dealing with the multiple terabyte database size, Postgres is what I would definitely recommend. But once you get above that, then there are no easy answers and you would need to look at what YouTube did with Vitess [3]
[1] https://vitess.io/
[2] https://www.citusdata.com/
[3] https://vitess.io/docs/overview/history/