Data destinations
  • Updated on 15 May 2019
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Data destinations

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When it comes to delivery to data destinations, Dataddo supports both "pull" delivery (data destination requests the data from the Dataddo platform) and "push" (Dataddo platform injects the data to data destination).

"Pull" data delivery

Data delivery using the "pull" method is utilized mainly for dashboarding or business intelligence applications such as Tableau, Google Data Studio, Klipfolio or QlikView.

pull_integration

For this type of data delivery, Dataddo provides a real-time API interface returning the desired dataset upon each request. For further details, navigate to the Dashboarding apps section of our documentation.

"Push" data delivery

Data delivery using the "push" method is used for integrations with various data storage technologies and services such as Google BigQuery, AWS Redshift, AWS RDS, SQL Server, MySQL or SFTP.

push_integration

Similarly to Data synchronization, push type data delivery is a scheduled operation, so the frequency of the push operation is configured to occur at a specified minute, hour or day. More information is available in the Data storages section.

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