Skyvia offers you a convenient and easy way to connect Productive.io and GitHub with no coding.
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Learn more about IntegrationSkyvia offers a number of benefits for import Productive.io data to GitHub 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.
Learn moreWith Skyvia you can easily perform bi-directional data synchronization between Productive.io and GitHub. 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.
Learn moreSkyvia’s import can load only new and modified records from Productive.io to GitHub and vice versa. Thus, you can use import for performing one-way sync.
Learn moreSkyvia’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.
Learn moreIntegration of Productive.io and GitHub with Skyvia is as easy as 1-2-3
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.
Skyvia offers powerful visual editors which allow precise mapping configuration to quickly configure your data migration or synchronization between Productive.io and GitHub.
Skyvia allows you to map one Productive.io table to several related GitHub tables.
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 Productive.io fields that don't have corresponding GitHub fields (or vice versa) with constant values.
With Skyvia you can integrate Productive.io with GitHub in a number of ways. If you need to load data in one direction, from Productive.io to GitHub or vice versa, you can use Skyvia import. For loading data in both directions, Skyvia offers powerful data synchronization.
Integrate Productive.io and GitHub with minimal effort and in only a few clicks!
