If you're looking for a MongoDB management tool with a query profiler to help you find and debug slow-running queries, Studio 3T is a top contender. It's got a lot of other features, too, including a Query Profiler to find slow queries and debug them. It's also got IntelliShell for auto-complete queries, Visual Query Builder for drag-and-drop query construction and an Index Manager for creating indexes. It supports many versions of MongoDB and many operating systems, too.
Another option is SQLAI.ai, an AI tool that can generate, optimize, explain and interact with SQL and NoSQL queries. It supports a range of databases, including MongoDB, and is designed to boost productivity by optimizing query performance and spotting syntax errors. It's geared for developers and data analysts who want to speed up their work and cut query optimization and debugging time.
If you want a more general-purpose observability platform that can help you debug slow queries, check out Honeycomb. It's an observability platform first and foremost, but it's got tools like distributed tracing and smart data sampling that can help you figure out what's going wrong with your MongoDB queries and fix it. Its AI-Powered Query Assistant also can generate and run queries in plain English, which can help you figure out what's going wrong with your queries and where the performance problems are.
Last, Outerbase offers a more human-friendly interface for managing and exploring databases, including MongoDB. It's got an AI-first data exploration interface, too, and a Data Studio for collaborative data creation, editing and visualization. It doesn't specifically call out query profiling, but its full-featured database management abilities can help you get your work done and improve your overall database performance.