When you setup Database Monitoring, the Agent collects all the metrics described in the corresponding integration documentation. This includes metrics about database state, events, failovers, connections, and buffer pools, plus the query performance metrics that Database Monitoring uses.
To see a complete list of metrics collected, see the integration Data Collected documentation for your database product:
The metrics used for Database Monitoring views are, primarily:
The Database Monitoring Agent obfuscates all query bind parameters sent to the Datadog intake. Thus passwords, PII (Personally identifiable information), and other potentially sensitive information stored in your database will not be viewable in query metrics, query samples, or explain plans.
However, there are some common sources of data risks:
If table names, column names, indexes, database names, or any other schema contain sensitive information, these data are not obfuscated. It is very uncommon that database schema are considered sensitive, but be advised that obfuscation is not applied to these data types.
If you are sending logs to Datadog from your database, be aware that some logs can contain the full SQL query text including query bind parameters. Review and apply log security rules consistent with your organization’s requirements.
SQL query comments may be collected by the Agent and sent to Datadog without passing through obfuscation. SQL query comments generally do not contain sensitive data, but comments extracted from the query SQL will not pass through obfuscation.
Datadog Database Monitoring collects per-query metrics for the top 200 normalized queries measured by their total time spent executing on the host. This limit is applied only to each collection interval (10 seconds by default), so the total number of tracked queries can exceed the configured limit over longer periods of time.
Query samples have no limits on the number of unique normalized queries tracked, but the sampling is biased towards queries which are slow or frequent. It is possible for a query sample to be selected, but have no associated query metrics. This is the case when the query was slow or frequent for a brief period of time, but was not sustained enough to become a top query.
Other Queries represent the metrics of all queries which do not appear in the top 200. Because a query may be a top query for some time frames but not others, the metrics for a particular query may sometimes be tracked as a distinct normalized query and other times counted in Other Queries.