This image shows the SQL Insights - Database Analysis page within Ops Insights.  The left side of the image shows the Ops Insights menu options followed by a set of radio buttons to select either Oracle or MySQL database type.
The main pane of the page has dropdown filters to select the compartment and optionally sub-compartments as well as the database to show. On the top right is a time selector, which in this image shows the last 7 days, and an Actions button which allows for export, duplication and editing of the dashboard.
The content is tiled with numerous metrics and insights shown.  A database overview tile in the top left includes the database version, CPU count, total SQL count, average daily SQL count, new SQL count, list of instances of the database and a link to Database Management Performance Hub.
To the right of the overview tile are a series of tiles showing SQL activity by command (insert, update, delete, and select), SQL and PL/SQL breakout, SQL activity by calling module, and a bar graph of daily SQL activity measured in average active sessions.
Next down, on the left of the row is a series of Insights tiles showing the counts of degrading SQL, degraded plan changes, improving SQL, improved plan changes, cursor sharing issues and a indicator if an invalidation storm has been detected in the time window.  To the right of the insights tiles are line graphs showing the percentage of non-parsing executions and a comparison of SQL count versus invalidated SQL count.
On the bottom of the image is the Top SQL table, with only the headers and first row shown in this screen capture.  The table shows the SQL ID which is a clickable link to drill into the details of the SQL as well as additional columns showing the command type, average latency in seconds, DB time in seconds, CPU time in seconds, number of executions, IO reads in MB, IO writes in MB, rows per execution, and calling module.