Time Range Selection for Statistics Page

Filter and analyze schema statistics over custom time periods with the new date range selector.

The statistics page in Atlas Cloud now includes a time range selector that allows you to filter and analyze schema statistics for specific time periods. Use the date range filter to track growth trends, identify fastest-growing objects, and compare statistics across different time intervals. This makes it easier to understand schema evolution patterns and make data-driven decisions about database optimization.

Custom Time Period Analysis

With the time range selector, you can analyze your schema statistics for any time period. Whether you want to see growth over the last week, month, quarter, or a custom date range, the filter gives you the flexibility to focus on the data that matters most for your analysis.

Growth Trend Tracking

Track how your database schema evolves over time by comparing statistics across different intervals. Identify which tables and indexes are growing fastest during specific periods, helping you understand usage patterns and plan for capacity needs. The time range filter makes it easy to correlate schema growth with application changes or business events.

Data-Driven Optimization

Use the filtered statistics to make informed decisions about database optimization. Identify large objects that may need partitioning, indexes that are growing rapidly, or tables that have stopped growing. By analyzing statistics over specific time periods, you can better understand the impact of schema changes and optimize your database accordingly.