Deliver your MongoDB projects faster, with confidence

Used by 94% of the Fortune 500 companies deploying MongoDB, and over 100,000 developers & database administrators.

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To maximize the value of MongoDB you’ll likely need to overcome key challenges.

Deeply nested data structures slows down workflows and increases cognitive load, making it difficult for developers to quickly access and understand critical information within large datasets.

Slow diagnosis of performance issues and a lack of standardized debugging tools delay deployments and increase the risk of inconsistent fixes (and compliance issues) across complex MongoDB environments.

Manual data extraction processes and inconsistent integration methods complicate data handling and hinder efficient migrations across diverse data ecosystems.

Disconnected workflows and inconsistent processes make it challenging for diverse teams to collaborate effectively and maintain productivity when interacting with MongoDB data.

When your teams are no longer held back by MongoDB complexity, they move faster, reduce risk, and deliver more.

Reduce time spent on database tasks and automate routine data management, freeing teams to focus on higher-impact initiatives.

Keep your teams moving fast, even as data volume, environments, and complexity grow, with tools designed for enterprise-grade MongoDB workloads.

Empower all teams to work with MongoDB data securely and reliably, regardless of their experience level, by bridging skill gaps and providing consistent tools.

Gain full visibility and adaptability as your MongoDB needs evolve, managing complexity and integrating seamlessly across various environments.

Ensure secure connections and maintain team compliance with enterprise authentication methods like Kerberos, OIDC, AWS IAM, and LDAP.

Navigate complex, deeply nested datasets with structured views and a drag-and-drop Visual Query Builder, significantly reducing query creation time without requiring deep MongoDB expertise.

Accelerate troubleshooting and debugging with real-time query profiling and a powerful shell, cutting issue resolution time in half and ensuring optimal performance.

Simplify and accelerate data migrations with bi-directional tools, enabling seamless data movement between MongoDB clusters and SQL databases, ensuring consistency and reducing manual errors.

Boost team collaboration and productivity with a unified, all-in-one interface that supports real-time query development and multi-user debugging, empowering users of all skill levels.

You and your team can achieve more in less time by using intuitive features that make life simpler, onboarding easier and your dev processes efficient.

Studio 3T Visual Query Builder
Visual Query Builder
Build queries with an intuitive visual interface by dragging and dropping fields and selecting from drop down menus. No knowledge of MongoDB query syntax required.
Build the MongoDB aggregation pipeline stage by stage – Aggregation Editor
Aggregation Editor
Not only can you add, edit, and move aggregation stages but also define operators and check inputs and outputs at each pipeline stage. This makes debugging easier and ensures that your query is accurate each step of the way.
mongo shell with auto-completion and syntax highlighting – IntelliShell
IntelliShell
Save time with this built-in mongo shell that auto-completes your queries and offers helpful reminders of operator syntax. Query Assist adds functionality like in-place editing, Explain plans, and flexible views of results.
Query Profiler
Investigate all the slow-running queries on your MongoDB databases. With Query Profiler, you can profile your databases to quickly find out how long queries took to run, when queries ran, and how often queries ran.
Team Sharing
With Studio 3T’s Team Sharing, you can share your MongoDB queries, scripts and connections with peace of mind, and develop them as a team.
AI Helper
AI Helper is your AI assistant for MongoDB. It’s a user-friendly interface to your MongoDB database that helps you to build queries easily even if you don’t know how to code.
Export MongoDB to CSV, JSON & more formats – Export Wizard
Export Wizard
Export MongoDB collections, views, queries, query results, or specific documents to CSV, JSON, BSON/mongodump, SQL, or another collection. Exports are fully configurable, and can even be batched.
Import CSV to MongoDB & other formats - Import Wizard
Import Wizard
Import JSON, CSV, BSON/mongodump, SQL, and another collection to MongoDB.
Instant MongoDB query code generation – Query Code
Query Code
Automatically translate MongoDB queries—as well as SQL queries built through SQL Query—to perfectly formatted JavaScript (Node.js), Java (2.x and 3.x driver API), Python, C#, Ruby, and the mongo shell language.
Query MongoDB with SQL – SQL Query
SQL Query
Write SQL to query MongoDB directly, including inner and left joins. Save and open queries as .sql files you can share with team members or come back to later, or start a query in SQL and finish in the mongo shell.
Connect to MongoDB Atlas clusters & MongoDB instances – Connection Manager
Connection Manager
Connect to as many MongoDB instances as you need. Find support for SCRAM-SHA-1, SCRAM-SHA-256, X.509, Kerberos and LDAP authentication methods, SSH and SSL connections, HTTP and SOCKS proxy settings, and more.
Find MongoDB schema anomalies – Schema Explorer
Schema Explorer
Visually represent your database’s schema and data distributions. Use it to find schema anomalies, address data outliers in your schema, and generate schema documentation which can be exported as a Word or CSV file.
Compare MongoDB collections, say Test and Production, side by side – Data Compare & Sync
Compare
Easily compare whole collections, with color-coded highlights that make similarities and differences apparent at a glance. Or compare even narrow subsets by configuring criteria like fields, number of documents, and more.
MongoDB to SQL Migration
SQL Migration
Migrate between MongoDB and SQL databases while preserving the relationships of your data. Configure mappings for MySQL, PostgreSQL, Oracle, Microsoft SQL Server, IBM DB2, and imports from Sybase.
Mask MongoDB Data – Data Masking for MongoDB
Data Masking
Enable data compliance and bolster security with powerful field-level data obfuscation. Choose from a variety of masking methods that let you anonymize each field and field type as needed.
Restructure MongoDB collection schemas – Reschema
Reschema
Move an existing collection to a new schema in a few clicks, or tune up your current schema to improve performance. Easily add, delete, rename, reorder, flatten, and extract fields and arrays, without migration scripts.
Task Scheduler for MongoDB
Task Scheduler
Save frequently-run imports, exports, comparisons, migrations, and masking jobs to execute later. Or use the scheduling functionality to run them automatically at specified times, on your local device or your server.

Kanso Software boosts MongoDB efficiency by 90%, saves $36K per developer

Highlights

$2,000

saved per month per developer – a $36,000 annual saving.

90%

increased dev efficiency – 3 hours per day, per developer.

10 minutes

querying and aggregation time instead of hours.

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I would say, individually, we save 6-10 hours per week by using Studio 3T. As a team, that adds up to 50 hours per week.
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In terms of impacting our operating costs, Studio 3T is a tremendous time-saver. If we didn’t have Studio 3T it would probably take ten times longer.
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Other platforms
Studio 3T 2025.11.0 (16 June 2025)

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