Migration vs Integration

Getint offers two fundamental functionalities: data migration and integration. Understanding the difference between these two is key to optimizing your use of the platform.

Data Migration

Definition and Use Case:

  • Migration in Getint refers to the process of moving historical data – the data that existed before the implementation of Getint.

  • Typical use cases involve migrating data from one tool to another, such as from Jira to Azure DevOps, Asana to Jira, ClickUp to Monday.com, etc.

Project Nature:

  • Migration projects are generally one-time operations. They are designed to move a large volume of data within a limited timeframe.

  • This process is crucial when switching from one project management or issue tracking tool to another, ensuring that all historical data is preserved and transferred to the new system.

Data Integration

Definition and Use Case:

  • Integration, on the other hand, refers to the process of connecting newly created or recently updated items (tasks, service requests, bugs, etc.) in real-time or near real-time.

  • This process begins from the moment you start using Getint and is ongoing.

Project Nature:

  • Unlike migrations, integrations are typically long-term, ongoing projects. They involve syncing smaller batches of data but on a regular, often daily, basis.

  • Integration is essential for maintaining continuous data flow between different platforms as new updates or items are created.

Combining Migration and Integration

  • Some projects may require both: initially migrating historical items, then continuously syncing new updates or creations.

  • This approach ensures a comprehensive transition to a new system or platform, followed by consistent and up-to-date synchronization moving forward.

Pricing Models

  • Migrations: The cost is based on the volume of tasks to be migrated.

  • Integrations: For integrations involving Jira, pricing is based on the number of Jira users.

Setup Process

  • The setup for both migration and integration is nearly identical in Getint.

  • For migrations, additional steps include enabling the migration feature, specifying the direction (source and target systems), and defining the time range for the issues to be migrated.

Understanding these differences and the specific requirements of your project will help you effectively leverage Getint for your data management needs, whether you’re transitioning to a new system or maintaining an ongoing synchronization between platforms.

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