THE BENEFITS
Unblock teams working with MongoDB data

Increase productivity
Manage NoSQL data effectively and automate manual tasks to accelerate development cycles.

Turn data into answers
Aggregate and analyze MongoDB data visually, then export clean results for stakeholders or other systems.

Catch data anomalies
Fix issues before they disrupt pipelines. Keep MongoDB data consistent and dashboards accurate.

Speed up application response times
Improve query speed, even under heavy workloads, with built-in performance tools.

Ensure smooth deployments
Fix schema drift or inconsistent data with visual comparison and synchronization tools.
HOW IT WORKS FOR YOU
Clear bottlenecks quickly with Studio 3T
Achieve more in less time with intuitive tools built to troubleshoot, optimize, and speed up your data projects.
Fix slow queries and reduce resource usage
Query Profiler delivers comprehensive diagnostics and real-time profiling of bottlenecks and long-running queries – showing execution times, frequency, and query code – so you can tune performance fast.
Optimize query performance
Index Manager keeps applications running smoothly by reducing query execution time, especially for your most critical queries. Create, adjust, and test indexes without the risk of downtime.
Ensure data integrity across databases
Keep data accurate and consistent from dev to production. With Data Compare & Sync, quickly detect missing values or mismatched fields and sync environments, to ensure clean data, reliable reports, and trusted deployments.
Bridge the SQL gap
SQL Query lets you work with MongoDB data using familiar SQL commands, easing adoption across teams with mixed skill sets.
Analyze and transform data with clarity
The Aggregation Editor lets you build and debug aggregation pipelines, with clear visibility at each stage. By quickly ordering pipeline stages, you can improve query performance and optimize performance.
Focus on query logic and reduce errors
IntelliShell speeds up diagnosing and fixing issues with auto-completion and real-time error highlighting. That means fewer mistakes, faster fixes, and more reliable deployments.
Visualize your data and iterate quickly
The Collection Tab makes it easy to refine queries, and quickly edit field values in Table, Tree or JSON view.
See results your way
You can view and interact with MongoDB query results in the format that best suits your needs, then export it. Edit data directly within the Table and Tree views, and scroll through results in JSON.
Write queries without coding knowledge
The AI Helper lets you explore MongoDB data with natural language queries, lowering the barrier for new and non-technical users and reducing reliance on specialists.
CASE STUDY

Kanso Software development teams move faster with Studio 3T
Highlights
$2,800 saved per month per developer
annual savings of $36,000 or 600 development hours per developer.
3 hours saved each day on average
identifying and fixing data issues in minutes instead of hours when done manually.
10 minutes to create queries and aggregations
tasks that previously took hours.
Real teams, real impact


Used by 94% of the Fortune 500 companies deploying MongoDB, and over 100,000 developers, DBAs and data analysts.









