Performance

The Performance Advisor in MongoDB Atlas automatically analyzes collections experiencing poor performance and recommends indexes to add. See examples of slow-running queries with relevant metrics and create suggested indexes in a few clicks.

The Performance Advisor also provides actionable schema advice for your slowest and most active collections. Each recommendation offers context and evidence so you can review potential data model inefficiencies that are impacting your database performance.

With Online Archive, you can tier your data across fully managed databases and cloud object storage and query it through a single endpoint. Automatically archive historical data and save on operational and transactional data storage costs without compromising on query performance.

Configure read-only secondary nodes to run analytical workloads, such as MongoDB Charts or the BI Connector. This ensures your operational workloads are not impacted by resource-intensive queries on the same database.

See live performance metrics for dedicated clusters, including operations, disk usage, connections, IOPS, hottest collections, and slowest queries.

Receive notifications when database operations, server usage, or other conditions reach defined thresholds that affect your cluster’s performance. Get alerts over email, text, and channels you already use.

Create dashboards from dozens of throughput, performance, and utilization metrics to analyze historical database performance down to one minute granularity.

Diagnose issues quickly with the help of the Query Profiler, which surfaces long-running queries and their key performance statistics. Review historical operations to quickly identify outliers and query patterns across collections and operation types.