SendGrid

SendGrid is a cloud-based SMTP provider that allows you to send email without having to maintain email servers. SendGrid manages all of the technical details, from scaling the infrastructure to ISP outreach and reputation monitoring to whitelist services and real time analytics.

Connecting to SendGrid

Mammoth allows you to connect to SendGrid and get the data into Mammoth.

  1. Select API & Databases from the ‘Add Data’ menu and click on SendGrid.

  2. Click on New Connection and enter the API key.

    SendGrid login
  3. Select the account and click on Next.

  4. Once your SendGrid API is connected with Mammoth, you will be presented with a list of tables and views in that database.

    • Select the desired table to get a preview.

    • Write a SQL query or run a test query and preview the result.

    • Click on Next.

After you have selected the table you want to work on, you get options to configure it as follows:

  • Save as new dataset: You can use this option to rename the table and save it as a new dataset.

  • Retrieval frequency: This is to set the frequency of the data import.

  • Start retrieving: This is to decide when to initiate the data import - Now or Later.

  • On refresh: You can choose what happens to new data Schedule pull. There are three option to choose from - Replace all data, Add new data since data pull, Replace with new data since new pull.

Scheduling your Data Pulls

You can start retrieving the data now or at a specific time. Further schedule the data imports to get the latest data from your Database at a certain time interval - just once, daily, weekly or monthly.

On every data pull from your Database, you also have options to - Replace all data, Add new data since data pull, or Replace with new data since new pull.

On choosing options Add new data since data pull or Replace with new data since new pull, you will get an option to choose a unique sequence column. Using this column, on refresh, Mammoth will pick up all the rows that have greater value in this column than the previous data pull.