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Keep insights flowing without operational slowdowns

When teams work with complex data, every delay in your data pipeline slows projects and impacts results. Studio 3T gives you everything you need to work quickly, safely and independently with messy, undocumented MongoDB data, without jumping between tools. This means faster insights, reduced reliance on technical specialists and lower risk.

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

THE BENEFITS

Take full control of your data

Get everything you need for MongoDB data management in one place. Teams can extract, clean, fix, and move data, allowing projects to move faster without compromising compliance or security.

Shorter delivery times

Cut weeks from project timelines by reducing tool-switching and handoffs.

Lower operational risk

Fewer handoffs mean simpler audit trails and easier compliance. Edit production-scale data securely and without breaking pipelines.

Increased productivity

Analysts and non-technical teams can self-serve, allowing senior technical talent to focus on higher-value work.

Cross-system flexibility

Move data cleanly between SQL and NoSQL systems to support a wider range of business initiatives.

Better collaboration, faster results

Share queries and workflows across your team with built-in workspace tools.

HOW IT WORKS FOR YOU

Fix, move and keep projects on track

When data issues reach production, there are consequences for timelines, budget, and your reputation. Give teams the tools they need to spot and prevent issues early, and keep your business moving.

Prevent delays and downtime

Spot errors in complex queries, identify bottlenecks with Query Profiler, and clean data directly within your pipeline to keep projects moving smoothly.

Safely edit data in place

Quickly make safe, validated edits, even in production.

Move data securely and efficiently

Simplify data movement, validation, and masking, so you can stay compliant when pushing data to BI tools, SQL systems, Snowflake, or Databricks.

Get reliable insights faster

Easily handle aggregation pipelines and queries with visual tools that save time and reduce errors.

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 results

fab hotels logo
Studio 3T came to the rescue when I was facing issues in aggregating large amounts of complex data. I really like its simplicity and rich features which enabled me to learn things very quickly. Overall, Studio3T is a really good solution for dealing with all Mongo operations.
NAVEEN KUMAR
SOFTWARE ENGINEER
Cisco logo
Studio 3T is an awesome tool for working with MongoDB. It has become one of our most reliable and important software tools, for completing daily activities in a very short time.
PRASHANTI NILAYAM
SOFTWARE DEVELOPMENT ENGINEER
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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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