Sync Data Cloud & Marketing Cloud with Postgres, Redshift, BigQuery, Kafka etc. Starting at ~$0.138/hour.
Using Softtrends Data Cloud Connector, you can sync your Heroku Postgres tables to Salesforce Data Cloud to use in DMO Mapping, Unified Profile creation, Calculated Insights, Analytics or for building Customer 360-driven applications…all using languages and frameworks supported by Heroku. As Data Cloud unifies your organization’s data sources and customers, ensure your Heroku data is a first class citizen.
Using Softtrends Data Cloud Connector, you can sync your Data Cloud entities, such as Unified Profiles, Segments or other DLOs/DMOs, to Postgres where it can enhance your Heroku Web, Mobile & Service apps & experiences.
Using Softtrends Marketing Connector, you can sync your Salesforce Marketing Cloud data extensions to Heroku Postgres and report against it, stream it to a Heroku Kafka Topic and perform streaming analytics, or create consumer analytics & marketing-driven applications…all using languages and frameworks supported by Heroku. Whether you leverage Postgres or Kafka, your marketing data can now become a first class citizen in your Heroku applications.
Softtrends Marketing Connector allows you to Sync Postgres data to Data Cloud, and visa versa. Pull Unified Profiles, Segments & more into Postgres
Softtrends Marketing Connector also allows you to Sync Postgres data to Marketing Cloud and run your marketing campaign using the synced data. When you add and update new records to Postgres, you can take advantage of the incremental sync option to sync only the newly added or updated records.
Softtrends Marketing Connector also allows you to Sync Amazon Redshift data to Salesforce Data Cloud, and visa versa. Pull Unified Profiles, Segments & more into Amazon Redshift.
Softtrends Marketing Connector also allows you to Sync Google Cloud BigQuery data and Salesforce Marketing Cloud. All standard sync functionalities are available for sync between Google Cloud BigQuery and Salesforce Marketing Cloud.
If you leverage Data Cloud for Marketing, gaining access to underlying Segment raw data can be very useful. With the Data Cloud Connector, you can turn a list of Segment IDs living in Data Cloud for Marketing into a rich table of consumer data aligned with each Data Cloud Segment.
Ingesting Marketing data into your Heroku data lake allows you to gain new business insights, provide additional analytics to your users, and build new marketing-driven Heroku applications. Enhanced Business Intelligence solutions, dashboards and reports can incorporate this new marketing data and drive line of business productivity.
Using Softtrends Marketing Connector, you can sync your Salesforce Marketing Cloud data extensions to AWS Redshift for all your data warehouse operations. Helpful when you are trying to bring in data from Marketing Cloud to Interaction Studio data warehouse. Similarly, you can sync AWS Redshift data to Marketing Cloud. This will help you sync Interaction Studio data warehouse data to Marketing Cloud and run your marketing campaign using the synced data.
Softtrends Marketing connector supports Scheduled sync option using a set of pre-defined sync schedule, or your own custom sync schedule. Custom sync scheduled can be set for the connector to sync at 1 minute to any time interval you set. Scheduled sync runs uninterrupted, and automatically recovers from any communication, and platform errors including Heroku mandatory Dyno restart.
Using Data science features, you can transform data type of selected fields during sync (e.g. a field with type ‘text’ in Postgres can be synced to Data Extension as field type ‘Email Address’), get email notification of individual records with incompatible data type resulting in sync failure, etc.
Users running Private Space editions of Marketing connector can request for boosting performance of their sync process. Sync timing can be boosted to run 3 to 8 times faster based on the number of connectors configured to run in scheduled mode,
The available application locations for this add-on are shown below, and depend on whether the application is deployed to a Common Runtime region or Private Space. Learn More
|Region||Available||Installable in Space|
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To provision, copy the snippet into your CLI or use the install button above.