Test MongoDB Index Performance
Clone your collection, run before-and-after benchmarks, and apply only the indexes that actually improve your queries.
Download MongoPilotAdding indexes in production is a gamble
Creating an index on a large collection can take minutes or hours, lock resources, and sometimes not even help the query you intended to optimize. There’s no built-in way to preview the impact of an index before committing to it. You either add the index and hope, or spend time setting up a staging environment that mirrors production — which most teams don’t have the time or budget for.
A safe testing ground built into your GUI
MongoPilot lets you clone a collection, create an experimental index on the clone, and compare query execution time with and without the index. You see real numbers — milliseconds saved, documents scanned, execution stages — on actual data. When you find a configuration that works, apply it to the original collection with one click. If it doesn’t help, discard the experiment with no side effects.
What you can do
Clone Collections Safely
Create an exact copy of your collection for testing. The clone runs in the same database so you’re benchmarking against real data, not synthetic samples.
Before & After Benchmarks
Run the same query with and without an index and see execution time, documents examined, and index usage side by side. No ambiguity about whether the index helps.
Visual Query Builder
Build your test query visually by selecting fields and operators — or paste raw JSON if you already have the query. Both modes are available in the experiment panel.
Apply to Production
Found a winning index? Apply it to the original collection directly from the results view. No need to remember the index spec or switch to another tool.
Clean Up Automatically
Discard the experiment and remove the cloned collection when you’re done. No leftover test data or forgotten clones consuming storage.
Collection Difference Analysis
Compare the source and cloned collection to verify data integrity. See document counts, index lists, and storage metrics before running your experiment.
From hypothesis to proof in three steps
1. Define your test query
Select a collection and open the Index Performance tab. Define your experiment query, the index attributes.
2. Run the Index Experiment
MongoPilot runs the query on both the original and the indexed clone collection and shows you the difference.
3. Apply or discard
If the numbers look good, apply the index to your original collection with one click. If the index didn’t help, clean up the experiment and try a different approach. Either way, production was never at risk.
Related Features
Query Explain Visualizer
Dive deeper into how MongoDB executes queries and uses your indexes.
Index Management
View, create, and drop indexes. Check which ones are used and which are wasting resources
Aggregation Pipeline Builder
Build and test aggregation pipelines visually with drag-and-drop stages
Stop writing MongoDB pipelines in the dark
Free trial of the most intuitive MongoDB GUI. Mac, Windows, and Linux.
Download MongoPilot