Confluence Cloud and Greenhouse Integration

Skyvia offers you a convenient and easy way to connect Confluence Cloud and Greenhouse with no coding.

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Popular Confluence Cloud Greenhouse Integration Scenarios

Free plan with 10 000 loaded records per month is available

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Load data in any direction

Skyvia offers a number of benefits for import Confluence Cloud data to Greenhouse or vice versa. With Skyvia import you can use data filtering, perform data transformations, and many more. These features are available for both directions. Besides, Skyvia supports the UPSERT operation — inserting new records and updating records already existing in the target. This allows importing data without creating duplicates for existing target records.

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Sync data two-ways

With Skyvia you can easily perform bi-directional data synchronization between Confluence Cloud and Greenhouse. 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. It offers powerful mapping features, allowing you to sync data with different structure.

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Sync New and Updated Data One‑way

Skyvia’s import can load only new and modified records from Confluence Cloud to Greenhouse and vice versa. Thus, you can use import for performing one-way sync.

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Mass Data Updates and Deletes

Skyvia’s import supports all DML operations, including UPDATE and DELETE. This allows using import to perform mass update operations or mass deleting data, matching some condition.

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How to integrate Confluence Cloud and Greenhouse

Integration of Confluence Cloud and Greenhouse with Skyvia is as easy as 1-2-3

Step 1

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

Step 2

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

Step 3

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

Integrating Data of Different Structure

Skyvia offers powerful visual editors which allow precise mapping configuration to quickly configure your data migration or synchronization between Confluence Cloud and Greenhouse.

One-to-many or Many-to-one

One-to-many or Many-to-one

Skyvia allows you to map one Confluence Cloud table to several related Greenhouse tables.

Preserving Relations

Preserving Relations

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

Expressions

Expressions

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

Lookup

Lookup

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

Constant

Constant

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

Different Confluence Cloud & Greenhouse Integration Scenarios

With Skyvia you can integrate Confluence Cloud with Greenhouse in a number of ways. If you need to load data in one direction, from Confluence Cloud to Greenhouse or vice versa, you can use Skyvia import. For loading data in both directions, Skyvia offers powerful data synchronization.

Integrate Confluence Cloud and Greenhouse with minimal effort and in only a few clicks!