Pipedrive and Heroku Postgres Integration

Skyvia offers you a convenient and easy way to integrate Pipedrive and Heroku Postgres with no coding.

How It Works

With Skyvia data integration is as easy as following.

Pipedrive and Heroku Postgres integration

You configure your data integration operation in convenient GUI wizards and editors.

Operation is executed in a cloud automatically on schedule or manually at any time.

You can view the integration operation results for each execution in the Run History.

Bi-directional Pipedrive and Heroku Postgres Synchronization

Synchronization of Pipedrive with Heroku Postgres

With Skyvia you can easily perform bi-directional data synchronization between Pipedrive and Heroku Postgres.

When performing the synchronization periodically, Skyvia does not load all the data each time. It tracks changes in the synchronized data sources and performs only necessary data changes. Note that it creates its own tracking tables and triggers in the Heroku Postgres database in order to track data changes.

Loading Heroku Postgres Data to Pipedrive and Vice Versa

Import Heroku Postgres to Pipedrive or vice versa

Skyvia offers a number of benefits for import Pipedrive data to Heroku Postgres or vice versa. With Skyvia import you can perform any DML operations for imported Heroku Postgres data in Pipedrive, import data from several Heroku Postgres objects at once, etc. These features are available for both directions.


Import Pipedrive to Heroku Postgres

Import data without writing a line of code!


Import Heroku Postgres to Pipedrive

Data import is simple for any direction!

Advanced Integration with Custom Mappings

Skyvia offers powerful visual editors which allow precise mapping configuration. It allows integrating data having different structure and offers the following mapping features:



Skyvia allows you to map one Pipedrive object to several Heroku Postgres ones or vice versa.


Preserving Relations

When integrating data with different structure Skyvia is able to preserve source data relations in target.



Skyvia allows using complex mathematical and string operations and conditions for mapping data.



You can use lookup mapping to map target columns to values, gotten from other target objects depending on source data.



When integrating data, you can fill some Pipedrive fields that don't have corresponding Heroku Postgres fields (or vice versa) with constant values.

Copy Pipedrive Data to Heroku Postgres

Replicating Pipedrive to Heroku Postgres

If you need to simply copy Pipedrive data to Heroku Postgres without mapping configuration, you can use Skyvia replication. It allows you to create a copy of Pipedrive data in Heroku Postgres and keep it up-to-date with little to no configuration efforts. You simply specify the connections to Pipedrive and Heroku Postgres and select data to replicate, and Skyvia does the rest.

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Automate Pipedrive and Heroku Postgres Integration

Schedule Pipedrive and Heroku Postgres integration

If you need to perform your integration operation on a regular basis, you can schedule it for automatic execution. Skyvia offers very flexible schedule settings which allow you to specify any kind of schedule.