How to connect MariaDB to dbt in PostgreSQL

How do I connect MariaDB to dbt?

The dbt-mariadb adapter lets you run dbt models against a MariaDB database by defining a profile, installing the adapter, and running dbt commands.

Welcome to the Galaxy, Guardian!

Oops! Something went wrong while submitting the form.

Description

Example H2

Example H3

What is the quickest way to make dbt talk to MariaDB?

Create a dbt profile that points to your MariaDB host, install the dbt-mariadb adapter, then run dbt debug to confirm connectivity.

Which adapter package should I install?

Run pip install dbt-mariadb~=1.7. Version numbers must match your dbt-core major/minor release.

How do I write the profiles.yml entry?

Place the profile under ~/.dbt/profiles.yml. Supply type: mariadb, host, user, password, port, and schema (database).Use a target called dev for local work.

What does a full profile look like?

```yamlmy_shop: target: dev outputs: dev: type: mariadb server: mariadb.mycompany.com port: 3306 user: analytics password: "{{ env_var('DBT_MARIADB_PW') }}" schema: analytics threads: 4```

How do I test the connection?

Inside your dbt project folder execute dbt debug --target dev. All checks must return OK before running models.

Can I reference ecommerce tables?

Yes.After connection, dbt run compiles models to SQL that targets MariaDB tables such as Customers, Orders, and OrderItems.

How do I materialize a simple model?

Create models/total_revenue.sql: SELECT SUM(total_amount) AS total_revenue FROM Orders.Then run dbt run -m total_revenue.

How to keep secrets safe?

Store passwords in environment variables and reference them with {{ env_var() }} to avoid committing credentials.

Which dbt commands matter most after connecting?

dbt run executes models, dbt test enforces data quality, and dbt docs generate builds searchable documentation—all against MariaDB.

Best practices for production?

Use dedicated analytics users, restrict write access, enable SSL, and manage schema evolution through pull requests.

Why How to connect MariaDB to dbt in PostgreSQL is important

How to connect MariaDB to dbt in PostgreSQL Example Usage


-- Verify the connection from dbt by querying Customers in MariaDB
dbt run-operation python_validate --args '{"sql": "SELECT id, name, email FROM Customers LIMIT 5"}'

How to connect MariaDB to dbt in PostgreSQL Syntax


# profiles.yml structure for MariaDB
my_shop:                     # dbt project name
  target: dev                # active target
  outputs:
    dev:
      type: mariadb          # required
      server: mariadb.myco.com  # hostname or IP
      port: 3306             # default MariaDB port
      user: analytics        # database user
      password: ""  # pull from env var
      schema: analytics      # default database/schema
      threads: 4             # parallel threads

# Example dbt model (total_order_value.sql)
SELECT c.id AS customer_id,
       SUM(o.total_amount) AS lifetime_value
FROM Customers c
JOIN Orders o ON o.customer_id = c.id
GROUP BY c.id;

Common Mistakes

Using the MySQL adapter instead of dbt-mariadb. While MariaDB is MySQL-compatible, dbt expects the correct adapter; otherwise connections and SQL flavor quirks fail. Always install <code>dbt-mariadb</code>.
Hard-coding credentials in <em>profiles.yml</em>. This leaks secrets and breaks CI/CD. Instead reference environment variables with <code>{{ env_var('VAR_NAME') }}</code>.