Why Your monday.com App Should Store Data Inside Monday's Infrastructure

The assumption most app builders start with

When a client comes to us to build a monday.com app that needs to persist data, the path they usually expect is: spin up a MongoDB Atlas cluster, wire in the connection string, and move on.

It is the obvious choice. It is what every web tutorial shows. And for most use cases, it works.

But when we sit down and think seriously about what “works” means when real companies are putting real work data through a marketplace app - tasks, project records, checklists, execution logs - the question changes.

Whose infrastructure is this data actually on, and who is accountable for it?

That question is the start of a conversation we have with every monday.com app client before we write the first line of database code.

What monday.com’s Document DB actually is

monday.com operates a managed, MongoDB-compatible Document DB as part of their platform. When you build an app on their cloud platform, you receive a connection string injected at runtime - MNDY_MONGODB_CONNECTION_STRING. You write standard MongoDB driver code against it. It looks exactly like any MongoDB connection.

The difference is everything that happens underneath.

monday.com’s managed DB runs inside their SOC 2 Type II certified infrastructure. It is covered by their existing Data Processing Agreements. Their security team manages patching, encryption at rest, network isolation, and access controls. Their compliance posture covers the data stored in it.

When a monday.com customer asks “where does my data go?”, the answer becomes: inside monday.com’s infrastructure - the same answer that covers everything else about their monday account.

We advise clients to split their data storage along one clean boundary: who does this data belong to?

Customer work data - tasks, records, configurations, execution logs, anything a user creates inside the app - should live exclusively in the monday-managed DB. The platform enforces tenant isolation at the infrastructure level. You enforce it again at the application layer by scoping every query to the installing account’s ID.

Your operational data - installation records, subscription events, analytics, anything about you running your business - belongs on infrastructure you control. This data is yours. It describes your relationship with customers, not customers’ work. It should not live in monday’s infrastructure.

The boundary is not arbitrary. It maps directly to who is the data controller for what, and that has real legal and compliance implications.

Five things you stop worrying about

1. Your connection string becoming a liability

A self-hosted MongoDB connection string is a secret that must be managed across environments, rotated when team members leave, never committed to version control, and protected in every deployment pipeline. If it leaks, an attacker has direct access to every customer’s data in one place.

With the monday-managed DB, there is no connection string to protect on your end. monday injects it at runtime into the platform sandbox. Your developers never see it in production. Rotating it is monday’s operational concern, not yours.

2. Patching and version management

MongoDB releases security patches regularly. A self-hosted cluster needs someone on your team to own that process - test compatibility, apply the patch, deploy without downtime. For a small team building a marketplace app, that operational load is real and disproportionate to the business value.

The monday-managed DB is patched and maintained by monday’s infrastructure team. You inherit their operational maturity without building it yourself.

3. Encryption, TLS, and network isolation

Getting encryption at rest, TLS in transit, firewall rules, and VPC isolation right requires genuine infrastructure expertise. Getting any of it wrong creates a vulnerability. The monday-managed DB comes with all of this correctly configured as a baseline - it is simply how the environment works.

4. Enterprise compliance conversations

When a larger organisation evaluates your app, their security team will ask about data residency, subprocessor agreements, and your DPA obligations. If your customer data is on a self-hosted cluster, you are a subprocessor with documentation to produce and terms to negotiate.

If that data lives inside monday’s infrastructure, the answer is simple: “Your data is stored within monday.com’s platform, covered by your existing monday DPA.” The customer already has that agreement. The security review scope shrinks significantly.

This is not a minor UX improvement for enterprise sales. It is often the difference between a deal closing and a deal stalling in legal review.

When a user uninstalls your app, you need a documented, auditable process for deleting their data. If their data is on your cluster, you need your own retention policy, your own deletion verification, and your own response process for individual data deletion requests.

If their data is in monday’s infrastructure, you implement a clean deleteAccount() call on the uninstall lifecycle hook, and monday’s infrastructure and deletion guarantees do the rest. One function, covered by an existing compliance framework.

What this does not mean

Using monday’s managed DB for customer data does not mean you cannot have your own database at all.

You will still need your own hosted database for operational concerns - tracking which accounts have installed your app, subscription states, billing events, analytics. That data belongs on your infrastructure because it is yours to own and manage.

The principle is straightforward: customer work data goes to monday’s infrastructure, your business data goes to yours. Keep that boundary clean and you get the security and compliance benefits of monday’s platform without losing control of your own operational data.

Who this matters most for

This architectural decision matters most for:

First-time monday.com app builders who have not yet chosen a database layer and can get this right from the start
Teams building for regulated industries - finance, healthcare, legal - where customers will conduct formal security reviews
Developers targeting enterprise accounts where DPA obligations and data residency questions come up in every sale
Small teams who cannot afford to maintain a hardened database infrastructure alongside building the actual product

If you are building a monday.com marketplace app and want to think through the architecture before you commit to a data layer, this is exactly the kind of decision we help with at the start of an engagement.

We build monday.com apps at Aisly. If you’re planning a new app or rethinking an existing one’s data architecture, let’s talk.