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Explore MongoDB & NoSQL data with speed and clarity

Whether you’re exploring new datasets, answering urgent questions, or supporting critical projects, Studio 3T helps you understand data models quickly and accurately. Cut query time by up to 20% and simplify complex structures with visual tools. No MongoDB expertise required.

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THE BENEFITS

Easily understand and work with MongoDB data

See what’s really
in your database

Visualize nested data and get full visibility into schema, documents, collections, and indexes.

Spot issues and opportunities quickly

Spot outliers, irregularities, or missing data before they cause problems.

Build queries, no syntax needed

Explore data with a drag-and-drop interface to get the answers you need, without relying on technical knowledge or developers.

Less chasing, more doing

Reduce the back and forth between teams with easy, governed access to the right data, so you can move projects forward faster.

Keep your work moving

Work from an up-to-date, accurate view of the data, so nothing is missed and everyone works from the same trusted source.

HOW IT WORKS FOR YOU

The faster, easier way to explore your data

Explore your data with confidence

Get instant clarity on your data with the Collection Tab, so you can spot what matters and act faster. Whether you work visually or prefer writing queries, you stay in control, even with the most complex datasets.

Build queries without writing code

The Visual Query Builder lets you drag and drop to build powerful queries in seconds, making your data accessible for your whole team, not just developers.

Connect and explore everything

The Connection Manager makes it easy to connect multiple environments, manage credentials, and switch between connections without losing context.

Ask in plain English

AI Helper lets you ask questions in natural language and automatically turns them into MongoDB queries – empowering non-technical users and reducing bottlenecks.

See results your way

View query results in the format that best suits you – Table, Tree or JSON – and edit data directly in place. Export results instantly for analysis.

Query in SQL

Use SQL Query to write SQL queries against MongoDB data, easing the learning curve for those more used to relational databases.

STUDIO 3T FEATURES

Power up your MongoDB

Achieve more in less time with intuitive features that make work simpler, onboarding easier and your dev processes more 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, OIDC 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.
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CASE STUDY

Kanso Software cuts through MongoDB complexity, saves $36K per developer

Highlights

90%

increased dev efficiency – get what you need faster.

3 hours saved per day, per developer

thanks to intuitive query building and easier navigation.

$2,800

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

10 minutes

querying and aggregation time instead of hours – removing roadblocks and speeding up insights.

Real teams, real benefits

When you have several thousand collections, it’s crucial to be able to find stuff fast. Studio 3T is a lifesaver for that.
DAN CUMMINGS
DEVELOPMENT MANAGER
The amount of time saved within the entire organization using the Visual Query Builder is well worth the price of licenses.
ERIC HIRSHFIELD-YAMANISH
SDET
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Used by 94% of the Fortune 500 companies deploying MongoDB, and over 100,000 developers, DBAs and data analysts.