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      • How Getint works (how it syncs the data)
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      • What Are Runs
      • One-directional / Bi-directional integration
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          • How to Install Getint On-Premise in Windows Server
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        • Jira - Asana: Subtasks synchronization
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        • How to Setup a Connection with Azure DevOps On-Premise
        • Jira - Azure DevOps: Epics and Subtasks Synchronization
        • Syncing Dependencies between Jira and Azure DevOps using Getint
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        • Attachments Sync in GitLab Integration
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        • Jira Jira licensing
        • Time Tracking in Getint – One-Way Synchronization
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        • How to Insert Monday.com Items into Specific Groups Using Getint
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        • How to Restrict "Incident" Data to Specific 3rd Party Companies
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      • Getint Version 1.81
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On this page
  • Understanding Integration Types with Getint
  • One-Directional Integration
  • Bi-Directional Integration
  • Flexibility with Getint
  • Conclusion

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  1. Getting started with Getint
  2. About Getint / Concepts

One-directional / Bi-directional integration

PreviousWhat Are RunsNextMigration vs Integration

Last updated 6 months ago

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Understanding Integration Types with Getint

In Getint, we offer two primary types of data synchronization between integrated tools: one-directional and bi-directional integration. Understanding these concepts is key to effectively managing data and maintaining smooth synchronization between your workflows.

One-Directional Integration

In a one-directional integration, data flows in a single direction from a source system to a target system. This means any changes made in the source system will be reflected in the target system, but not vice versa. For example, updates in a Jira project can be automatically reflected in a connected ServiceNow instance, but changes in ServiceNow won’t impact the Jira project. This type of integration is useful for scenarios where data consistency is needed from one primary system to another without reciprocal updates.

Bi-Directional Integration

Bi-directional integration allows data to flow in both directions – from the source to the target and from the target back to the source. In this setup, changes made in either system are synchronized with the other. For example, updates made in a Jira project and a connected Azure DevOps project are reflected in each other. This approach is ideal for environments where ongoing collaboration and real-time data parity between systems are crucial.

Flexibility with Getint

A unique feature of Getint is the ability for users to easily switch between one-directional and bi-directional integration at the field level. This means you can customize how each field (such as summary, priority, labels, or custom fields) is synchronized between systems. For instance, you might choose bi-directional synchronization for the “priority” field but one-directional for the “summary” field. This level of control allows users to tailor the integration to their specific workflow and data management needs, ensuring optimal efficiency and data integrity.

Conclusion

Getint’s flexible integration approach empowers users to configure their data synchronization precisely as needed, whether it be one-directional or bi-directional, or even mixed within the same integration setup. This provides a highly customizable and efficient data integration solution.

Our amazing team at Getint is always here to support you throughout your integration journey. We specialize in providing the best possible customer experience. If you have any questions about this integration or need help with the setup process, feel free to open a ticket with us at our or .

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