When selecting a database, make sure it is suitable for your needs, in particular, in terms of data types it can store. For example, if you work with time series data and would like to have statistics, consider using databases with analytical functions (for example, InfluxDB or Graphite). If you are using a cloud, pay attention to the availability of as-a-service solutions. If you do not use a cloud, you may need to create a database cluster.
Performance is also critical. A database must be able to handle all data you want to save, plus a safety margin, at an acceptable speed. As most databases require using a fixed schema of fields, it may be difficult to ensure updates without a downtime.
Usually, databases can ...
