Build multi-tenant RAG with Neon's database-per-user model — no nosy neighbors, max isolation, minimal costs
15.3kLog InSign Up
Docs/Integrations/FerretDB

Use FerretDB with Neon

Add MongoDB compatibility to your Neon database with FerretDB

FerretDB is an open source document database that adds MongoDB compatibility to other databases, including Postgres. By using FerretDB, developers can access familiar MongoDB features and tools using the same syntax and commands for many of their use cases.

In this guide, you'll learn about FerretDB and how you can add MongoDB compatibility to your Neon Postgres database.

Advantages of FerretDB

The benefits of using FerretDB include:

  • MongoDB compatibility

    FerretDB gives you access to the syntax, tools, querying language, and commands available in MongoDB for many common use cases. MongoDB is known for its simple and intuitive NoSQL query language which is widely used by many developers. By using FerretDB, you can enable Postgres databases like Neon to run MongoDB workloads.

    For related information, see MongoDB Compatibility - What's Really Important?

  • Open source

    As an open source document database, you won't be at risk of vendor lock-in. Since MongoDB's license change to Server Side Public License (SSPL), there's been a lot of confusion regarding what this means for users and what it would mean for their applications. According to the Open Source Initiative – the steward of open source and the set of rules that define open source software – SSPL is not considered open source.

    FerretDB is licensed under Apache 2.0, makes it a good option for users looking for a MongoDB alternative.

  • Multiple backend options

    FerretDB currently supports Postgres and SQLite backends, with many ongoing efforts to support other backends. Many databases built on Postgres can serve as a backend for FerretDB, including Neon. That means you can take advantage of all the features available in the backend of your choice to scale and manage your database infrastructure without fear of vendor lock-in.

To learn more, see Understanding FerretDB.

Prerequisites

The prerequisites for this guide include the following:

  • A Neon account and project. See Sign up.
  • A database. This guide uses a database named ferretdb. It's easy to create a database in Neon. See Create a database for instructions.
  • Docker. For instructions, see Get Docker. To verify your installation or check if you already have Docker installed, you can run docker --version.
  • The mongosh command-line tool. For installation instructions, see Install mongosh. If you are a macOS user, you can quickly install with Homebrew: brew install mongosh.

Retrieve your Neon database connection string

From the Neon Dashboard, retrieve the connection string for your ferretdb database from the Connection Details widget.

Your database connection string will look something like this:

postgresql://alex:AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/ferretdb

Run FerretDB with Neon via Docker

Execute the following command to run FerretDB in a Docker container and connect it to your Neon Postgres database (NEON_DB_CONNECTION_STRING):

docker run docker run -p 27017:27017 -e FERRETDB_POSTGRESQL_URL=<NEON_DB_CONNECTION_STRING> ghcr.io/ferretdb/ferretdb

Test via mongosh

From another terminal, test to see if the FerretDB instance is connected to your Neon database using mongosh. To connect via mongosh, you will need a connection string. Use the credentials for your Neon database connection string.

So in this case, the MongoDB connection string will be:

mongosh 'mongodb://<postgres-username>:<postgres-password>@127.0.0.1/ferretdb?authMechanism=PLAIN'

This will connect you directly to the FerretDB instance where you can run MongoDB commands.

~$ mongosh 'mongodb://<username>:<password>@127.0.0.1/ferretdb?authMechanism=PLAIN'
Current Mongosh Log ID: 657c28296fda6bb93a0c0058
Connecting to:      mongodb://<credentials>@127.0.0.1/?authMechanism=PLAIN&directConnection=true&serverSelectionTimeoutMS=2000&appName=mongosh+2.0.2
Using MongoDB:      6.0.42
Using Mongosh:      2.0.2
mongosh 2.1.1 is available for download: https://www.mongodb.com/try/download/shell

For mongosh info see: https://docs.mongodb.com/mongodb-shell/

------
   The server generated these startup warnings when booting
   2023-12-15T10:19:28.991Z: Powered by FerretDB v1.17.0 and PostgreSQL 15.4 on x86_64-pc-linux-gnu, compiled by gcc.
   2023-12-15T10:19:28.991Z: Please star us on GitHub: https://github.com/FerretDB/FerretDB.
   2023-12-15T10:19:28.991Z: The telemetry state is undecided.
   2023-12-15T10:19:28.991Z: Read more about FerretDB telemetry and how to opt out at https://beacon.ferretdb.io.
------

ferretdb>

You are now directly connected to your ferretdb database.

Insert documents into FerretDB

With mongosh, you can now insert some documents into your FerretDB instance directly from the ferretdb> prompt shown above. You are going to insert two basketball player documents into a players collection.

db.players.insertMany([
    {
        nba_id: 23,
        player_name: "Jordan",
        player_extended_name: "Michael Jordan",
        quality: "Gold - Legendary",
        overall: 99,
        nationality: "USA",
        position: "SG",
        shooting: 98,
        passing: 85,
        dribbling: 95,
        defense: 93,
        physicality: 92,
        rebounding: 87
    },
    {
        nba_id: 34,
        player_name: "Barkley",
        player_extended_name: "Charles Barkley",
        quality: "Gold - Rare",
        overall: 93,
        nationality: "USA",
        position: "PF",
        shooting: 86,
        passing: 76,
        dribbling: 78,
        defense: 88,
        physicality: 94,
        rebounding: 95,
        base_id: 332
    }
]);

Now, when you run db.players.find(), it should return all the documents stored in the collection:

ferretdb> db.players.find()
[
  {
    _id: ObjectId('65a1b5d53d6122d2b5122e41'),
    nba_id: 34,
    player_name: 'Barkley',
    player_extended_name: 'Charles Barkley',
    quality: 'Gold - Rare',
    overall: 93,
    nationality: 'USA',
    position: 'PF',
    shooting: 86,
    passing: 76,
    dribbling: 78,
    defense: 88,
    physicality: 94,
    rebounding: 95,
    base_id: 332
  },
  {
    _id: ObjectId('65a1b5d53d6122d2b5122e40'),
    nba_id: 23,
    player_name: 'Jordan',
    player_extended_name: 'Michael Jordan',
    quality: 'Gold - Legendary',
    overall: 99,
    nationality: 'USA',
    position: 'SF',
    shooting: 98,
    passing: 85,
    dribbling: 95,
    defense: 93,
    physicality: 92,
    rebounding: 87
  }
]

Update a record in FerretDB

Next, you need to update the "Jordan" record to reflect his current position as a SF. To do this, we can just run an updateOne command to target just that particular player:

db.players.updateOne(
    { player_name: "Jordan" },
    { $set: { position: "SF" } }
);

Query the collection to see if the changes have been made:

ferretdb> db.players.find({player_name: "Jordan"})
[
  {
    _id: ObjectId('65a1b5d53d6122d2b5122e40'),
    nba_id: 23,
    player_name: 'Jordan',
    player_extended_name: 'Michael Jordan',
    quality: 'Gold - Legendary',
    overall: 99,
    nationality: 'USA',
    position: 'SF',
    shooting: 98,
    passing: 85,
    dribbling: 95,
    defense: 93,
    physicality: 92,
    rebounding: 87
  }
]

You can run many MongoDB operations on FerretDB. See the list of supported commands in the FerretDB documentation.

View your database on Neon

In addition to a document database view of the collection in FerretDB, you can also view and query the data in Neon.

To view your current documents, go to the Neon Dashboard and select Tables from the sidebar. Then, from the Schema menu, select ferretdb. FerretDB stores the documents in Postgres as JSONB data.

FerretDB table showing player data

To query the data for a specific player via SQL, you can do so via the Neon SQL Editor or an SQL client like psql:

SELECT _jsonb
FROM ferretdb.players_a90eae09
WHERE _jsonb ->> 'player_name' = 'Jordan';

Get started with FerretDB

FerretDB lets you run MongoDB workloads on relational databases. This flexibility means you can easily add MongoDB compatibility to your Neon Postgres database while avoiding vendor lock-in and retaining control of your data architecture.

To get started with FerretDB, check out the FerretDB Get Started docs.

References

Need help?

Join our Discord Server to ask questions or see what others are doing with Neon. Users on paid plans can open a support ticket from the console. For more details, see Getting Support.

PreviousExograph
NextGrafbase

Last updated on

Was this page helpful?