MongoQUI for startups

Your MongoDB data has answers.

MongoQUI is the MongoDB workspace for your whole team. Startups in our design partner programme get MongoQUI Ultimate free for twelve months, and a direct say in what we build next.

Apply for your startup Read the pitch PDF, 3.7 MB

Free for twelve months
Every seat on your team
No card, no automatic renewal

One app for every way your team works with MongoDB.

MongoQUI connects to your MongoDB clusters and lets each person work the way that suits them: shell scripts, SQL, visual builders or plain English. Results become dashboards you can share with anyone, with access you control.

Built for developers, DBAs, data analysts and the founders who depend on them. Runs as a desktop app for macOS, Windows and Linux, and in the browser at app.mongoqui.com.

Query

Shell, SQL, visual builders and an AI query generator, side by side in tabs.

Understand

Schema analysis, index management, and MongoDB users and roles.

Report

Multi-page dashboards built from your queries or from uploaded files.

Per-person access to connections, and reports shared by email or protected link.

From first connection to a dashboard anyone can read.

Connect
Standalone servers, replica sets, sharded clusters and SRV strings. TLS, X.509, Kerberos or LDAP. Folders keep it tidy.
Explore
Browse every database and collection with sizes and counts. Map fields, types and relationships with the Schema Analyzer.
Query
Write mongosh JavaScript or SQL, build the query visually, or describe the result you want in plain English.
Report
Turn results into a data source, then build pages of tables, charts and KPI cards on a drag‑and‑resize grid.
Share
Invite colleagues as viewers or editors, or publish a link with a password and an expiry date.

Five ways to ask MongoDB a question.

Pick the one that fits the person and the problem. They all run against the same connection, in tabs side by side.

M-Shell
Full mongosh JavaScript with variables, loops and multi-statement scripts. Run everything, or just the selection.
SQL to MongoDB
SELECT with WHERE, JOIN, GROUP BY and HAVING, plus INSERT, UPDATE and DELETE. See the MongoDB command it becomes.
Visual Query Builder
Nested AND and OR conditions with typed values, kept in sync with the text query.
Aggregation builder
27 stage types and 49 templates. Drag to reorder, switch stages on and off, save the pipeline as a view.
AI Query Generator
Describe what you need in English and get a find query or pipeline back. By default it sees your schema, not your documents.

Then take it to production. Export any query as ready-to-run code for Python, Node.js, Java, C#, Go or Rust.

SQL to MongoDB: a SQL query with a JOIN and GROUP BY, and the aggregation pipeline MongoQUI generates from it. Below it, the AI Query Generator with a plain English request.

Dashboards for the people who never open a shell.

Start from a query or aggregation, or upload CSV, Excel or Parquet files of up to 100 MB.
Tables, bar, line, pie and doughnut charts, KPI cards with trends and sparklines, text and images.
Several pages per report on a drag-and-resize grid. Combine data sources and join them.
AI suggests charts and KPIs from your data. You choose what to add.
Share with teammates or any email address, or publish a link with a password, an expiry date and a view count.
Refresh on demand to re-run the original query.

A MongoQUI report called Weekly orders with KPI cards, a bar chart and a line chart, and the Share report panel with a password-protected public link and an expiry date.

Give every teammate the right access, from one place.

Teamwork

Shared connectionsShare a saved connection and choose, per person, which databases and collections they can use and whether they can write.

Seats and invitationsInvite people by email and manage every seat in one place.

MongoDB users and rolesCreate roles and users and change role assignments without writing commands.

Security

Two-factor sign-inAuthenticator app codes plus backup codes. Email, Google or GitHub sign-in.

A lock on the desktop appOptional master password, and automatic sign-out after 15, 30 or 60 idle minutes.

A direct line to your dataOn desktop, queries and results travel straight between your computer and your database. Sign-in tokens live in your system keychain.

A shared connection called Production cluster, shared with three teammates: two with read-only access and one with read and write access, each limited to specific databases.

Everything in MongoQUI Ultimate.

Our top plan, with no caps on seats, tabs, imports or parallel jobs.

Connect and explore

Standalone, replica set, sharded and SRV connections
SCRAM, X.509, Kerberos and LDAP sign-in
TLS with custom CAs and client certificates
Read preference, write concern and timeouts
Connection folders and auto-reconnect
Collection sizes, counts and index stats
Copy databases and collections across servers
Schema Analyzer with relationship diagram
Indexes, including unique, TTL, text and 2dsphere

Query

Find bar with field and operator autocomplete
Visual Query Builder, including projection
Aggregation builder: 27 stages, 49 templates
M-Shell for mongosh JavaScript
Real-time interactive shell on desktop
SQL to MongoDB with a translation view
AI Query Generator, 1,000,000 tokens a month each
Saved queries and unlimited history
Query to code in six languages
Unlimited tabs, restored after a restart

Data and reports

Tree, table and JSON views with full BSON types
Add, edit, bulk-edit and delete documents
Import JSON, JSON Lines, CSV and Excel with a preview
Export to JSON, CSV, Excel or another collection
Background jobs with progress and cancel
Report Builder with tables, charts and KPI cards
Data sources from queries, CSV, Excel and Parquet
Password-protected links with expiry dates
Report refresh on demand

Team and security

Unlimited seats
Shared connections with per-person access
Seat management and email invitations
MongoDB users and roles editor
Two-factor, Google and GitHub sign-in
Desktop master password and idle sign-out
Apps for macOS, Windows and Linux, plus the browser
Priority support with a shared Slack channel

How MongoQUI compares.

Compass is free and excellent for exploring. Studio 3T is the deepest desktop IDE. MongoQUI’s difference is having querying, dashboards and team access in one workspace.

Scroll sideways to see every tool.

MongoQUI compared with MongoDB Compass, Studio 3T, NoSQLBooster, Navicat for MongoDB and JetBrains DataGrip
Capability	Pro and Ultimate	MongoDB Compass	Studio 3T	NoSQLBooster	Navicat for MongoDB	JetBrains DataGrip
SQL queries on MongoDB	With JOIN and GROUP BY		Professional and up			SELECT only
Visual query and aggregation builders	Both	Aggregation only	Paid editions	Query builder only
AI natural-language queries, no API key of your own	Included	Included	Bring your own key	Needs maintenance plan	Bring your own key	Paid add-on or own key
Dashboards built in, shared by secure link	Password and expiry	Separate Atlas product			Enterprise edition	Result charts only
Team connection sharing with access control	Per person	File export only	Ultimate edition		Via Navicat Cloud or server
Browser access as well as desktop	app.mongoqui.com	Atlas databases only	Self-hosted Web IDE
List price per user, per year	$229 to $399Per seat, billed yearly	Free	$499 to $699	$239One-off licence	$210 to $280	$259Organisations

Checked on 8 October 2026 against each vendor’s public pricing pages and documentation. US list prices in USD before tax and promotions; Navicat yearly plans rounded. MongoQUI: Pro $229 (up to 10 seats), Ultimate $399. Studio 3T: Professional $499, Ultimate $699; team sharing is in Ultimate. Compass AI runs on MongoDB’s own service; its browser access is the Atlas Data Explorer. NoSQLBooster AI needs active Software Assurance. Navicat dashboards are in the Enterprise edition. DataGrip AI needs a JetBrains AI licence or your own key. Product names are trademarks of their owners.

What changes for your team.

One tool instead of three

Shell, SQL, visual building, dashboards and sharing in one app. No more hopping between a GUI, a BI tool and a chat thread of connection strings.

Analysts help themselves

Anyone who knows SQL can query MongoDB directly, and learn the MongoDB syntax from the translation.

Faster onboarding

New joiners describe what they need in plain English and learn from the query MongoQUI writes for them.

Clear, per-person access

Give each teammate just the databases and collections they need, managed in one place.

Answers reach the business

KPIs and charts from your MongoDB data, shared by link with a password and an expiry date.

A say in what we build

Your requests go straight to the people who build MongoQUI, not into a ticket queue.

We’d like your team to put all of this to work. Here’s our invitation.

Our invitation, written the way your database would say it.

db.designPartners.insertOne({
  team:     "your startup",
  plan:     "Ultimate",            // our top plan
  seats:    "everyone on your team",
  term:     "12 months",
  price:    0,                     // usually $399 a seat
  payment:  null,                  // no card needed
  support:  "priority, with a shared Slack channel",
  inReturn: [
    "honest feedback, once a month",
    "the features you wish existed",
    "your logo on mongoqui.com, with your approval"
  ]
})

List value of one year of Ultimate, which you won’t pay

$1,995for 5 seats

$3,990for 10 seats

$9,975for 25 seats

A fair exchange.

What we ask

Use it for real workFeedback from everyday use is the feedback that changes a product.

Tell us what’s missingUnder an hour a month across surveys, short calls and messages. Bugs and ideas whenever they come up.

Let us say you use itWith your written approval, we list your startup’s name and logo on mongoqui.com as a team using MongoQUI. You approve how it appears and can ask us to remove it at any time.

If the year goes well, a short quote or case study. Entirely optional.

What you get

Ultimate for every seatTwelve months of our top plan, with no caps on team size.
Priority supportAnd a shared Slack channel with the people who build MongoQUI.
Early previewsSee new features before release and shape them while they’re still being built.
Real influenceYour requests are weighed first when we plan what comes next.

How the twelve months work.

Light on your time, and structured so every conversation turns into something we can act on.

Week 1
Kick-off
We set up every seat and send a short onboarding guide. A 30‑minute call if you’d like one.
Month 1
First impressions
A 20‑minute call or a short survey on what helped, what got in the way and what’s missing.
Every month
Check-in
A five‑question survey. Bugs and ideas go to the shared Slack channel any time.
Every quarter
Roadmap preview
A group call with other design partners on what we’re building next, and why.
Month 12
Review
You decide whether to continue on a paid plan. Nothing renews or charges automatically.