📄️ Databricks
Heimdall ML offers a direct connection to Databricks, allowing you to bring in your tables from Databricks for modeling. During the build process for ML models, you will be able to select Databricks as a data source. After selecting Databricks, you will be prompted to enter your Databricks connection parameters.
📄️ PostgreSQL
Heimdall offers a direct connection to your PostgreSQL database, allowing you to import your tables for use in Heimdall ML and Heimdall Forecast. While selecting the data to use, you will be able to select PostgreSQL as a data source. You will then be prompted to enter your PostgreSQL connection parameters.
📄️ MySQL
Heimdall offers a direct connection to your MySQL database, allowing you to import your tables for use in Heimdall ML and Heimdall Forecast. While selecting the data to use, you will be able to select MySQL as a data source. You will then be prompted to enter your MySQL connection parameters.
📄️ MariaDB
Heimdall offers a direct connection to your MariaDB database, allowing you to import your tables for use in Heimdall ML and Heimdall Forecast. While selecting the data to use, you will be able to select MariaDB as a data source. You will then be prompted to enter your MariaDB connection parameters.
📄️ Amazon Redshift
Heimdall offers a direct connection to your Redshift workgroup/cluster, allowing you to import your tables for use in Heimdall ML and Heimdall Forecast. While selecting the data to use, you will be able to select Redshift as a data source. You will then be prompted to enter your Redshift connection parameters.
📄️ Google BigQuery
Heimdall offers a direct connection to your BigQuery databases, allowing you to import your tables for use in Heimdall ML and Heimdall Forecast. While selecting the data to use, you will be able to select BigQuery as a data source. You will then be prompted to enter your Redshift connection parameters.