Slack and Amazon Aurora Integration

Skyvia offers you a convenient and easy way to integrate Slack and Amazon Aurora with no coding.

How It Works

With Skyvia data integration is as easy as following.

Slack and Amazon Aurora 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 Slack and Amazon Aurora Synchronization

Synchronization of Slack with Amazon Aurora

With Skyvia you can easily perform bi-directional data synchronization between Slack and Amazon Aurora.

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 Amazon Aurora database in order to track data changes.

Loading Amazon Aurora Data to Slack and Vice Versa

Import Amazon Aurora to Slack or vice versa

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


Import Slack to Amazon Aurora

Import data without writing a line of code!


Import Amazon Aurora to Slack

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 Slack object to several Amazon Aurora 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 Slack fields that don't have corresponding Amazon Aurora fields (or vice versa) with constant values.

Copy Slack Data to Amazon Aurora

Replicating Slack to Amazon Aurora

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

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Automate Slack and Amazon Aurora Integration

Schedule Slack and Amazon Aurora 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.