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Da8a vs MongoDB Atlas

MongoDB Atlas is a managed document database. Da8a is a complete backend around Postgres, which can store JSON documents too. The choice is mostly about your data model and how much of the backend you want included.

General differences between Da8a and MongoDB Atlas
Topic	Da8a	MongoDB Atlas
Data model	Relational tables, with `jsonb` columns for flexible documents	Documents (BSON) in collections
Where it runs	A dedicated server of your own, managed for you	MongoDB’s managed cloud; MongoDB itself can also be run on your own servers, operated by you
What’s included	Database, Auth, REST API, Realtime, Storage, edge functions, backups	A database service with tools around it; auth, file storage and app hosting come from elsewhere
Querying	SQL, joins and transactions; supabase-js query builder	MongoDB query language and aggregation pipelines through MongoDB drivers
Access control	Row Level Security policies in SQL, per row	Database users and roles; app-level checks in your own server code
Vectors / AI search	pgvector in the same database	Vector search is offered as part of Atlas
Pricing model	A flat price per server	Cluster tiers plus usage; see MongoDB’s pricing page
Client	`@supabase/supabase-js` straight from the browser, protected by RLS	Drivers usually used from your own server

This page describes general differences, not every feature. MongoDB Atlas changes over time; check its own documentation for current details.

Keep your documents: JSON in Postgres

You don’t have to normalise everything on day one. Postgres jsonb columns store documents, can be indexed, and can be queried by nested fields. Move hot fields into real columns later.

SQL editor

create table products (
  id bigint generated always as identity primary key,
  doc jsonb not null
);
create index on products using gin (doc);

-- Find documents by a nested field
select doc->>'name' from products
where doc @> '{"status": "active"}';

query.ts

const { data } = await supabase
  .from('products')
  .select('id, name:doc->>name')
  .eq('doc->>status', 'active')

Migrating from MongoDB

Export each collection to JSON with mongoexport (one document per line).
Create a table per collection with a jsonb column, or design proper columns for the fields you query most.
Load the documents with a small script that uses supabase-js and your service key, in batches.
Add Row Level Security policies, then point your app at the Da8a project. Code that used MongoDB drivers needs to be rewritten for supabase-js or SQL.

There’s no one-click import from MongoDB. Plan the move collection by collection, and keep the export files until you’ve checked the result.

MongoDB Atlas may suit you better if…

Your data is naturally document-shaped and changes shape often
You rely on MongoDB’s aggregation pipeline or sharding
Your team and tooling are built around MongoDB

Da8a may suit you better if…

You want relational data with joins and constraints, plus JSON where it helps
You want auth, storage and an API included, not built yourself
You want browser access secured by Row Level Security
You prefer a flat price per server

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