- Other SQL Clients
- MindsDB and DBeaver
Other SQL Clients
MindsDB and DBeaver
DBeaver is a database tool that allows you to connect to and work with various database engines. You can download it here.
First, create a new database connection in DBeaver by clicking the icon, as shown below.
Next, choose the MySQL database engine and click the Next button.
If you have multiple
MySQL options, choose the
Driver for MySQL8 and later.
Now it’s time to fill in the connection details.
There are two options, as below.
Connecting to MindsDB Cloud account
Connecting to local MindsDB
You can connect to your MindsDB Cloud account. To do that, please use the connection details below:
Hostname: `cloud.mindsdb.com` Port: `3306` Username: <your MindsDB Cloud username> Password: <your MindsDB Cloud password> Database: <leave it empty>
Now we are ready to test the connection.
Testing the Connection
Click on the
Test Connection... button to check if all the provided data
allows you to connect to MindsDB.
On success, you should see the message, as below.
Let’s Run Some Queries
To finally make sure that our MindsDB database connection works, let’s run some queries.
SHOW FULL DATABASES;
On execution, we get:
+----------------------+---------+--------+ | Database | TYPE | ENGINE | +----------------------+---------+--------+ | information_schema | system | [NULL] | | mindsdb | project | [NULL] | | files | data | files | +----------------------+---------+--------+
Here is how it looks in DBeaver:
Whitelist MindsDB Cloud IP address
If you need to whitelist the MindsDB Cloud IP address to gain access to your database, reach out to the MindsDB team, and we’ll share the MindsDB Cloud static IP address with you.
Now that you are all set, we recommend you to check out our Tutorials section where you’ll find various examples of regression, classification, and time series predictions with MindsDB or Community Tutorials list.
To learn more about MindsDB itself, follow the guide on MindsDB database structure. Also, don’t miss out on the remaining pages from the SQL API section, as they explain a common SQL syntax with examples.