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This guide explains how to maintain data integrity during Jira Cloud migrations, and Jira migration in general, using Jira Cloud Migration Assistant (JCMA) with OpsHub Migration Manager (OMM). It covers what moves, where integrity breaks, the checks that keep data accurate, and how the two tools work together.
OpsHub Integration Manager
Seamless Digital.ai TeamForge and Jira bidirectional integration
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Digital.ai TeamForge and Jira are often used by different teams to manage planning, issue tracking, development coordination, and project execution. When updates remain isolated across systems, teams spend time manually sharing status updates, recreating information, and searching across tools for the latest context. OpsHub Integration Manager (OIM) connects TeamForge and Jira through continuous two-way synchronization designed to keep information aligned without disrupting existing workflows. TeamForge tracker items, planning folders, and teams can stay synchronized with Jira issues, sub-tasks, versions, work logs, and related project data in near real time. Instead of relying on plugins, webhooks, or repeated heavy scans, OIM supports both simple and complex integration scenarios, scaling from basic synchronization needs to enterprise-level workflows while using incremental synchronization to process only changed data for consistent performance as projects grow.
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Ensure nothing is lost during synchronization
Important updates become fragmented across systems: Teams lose visibility when project information, issue tracking, and discussions remain separated between TeamForge and Jira.
Manual coordination slows project execution: Teams often rely on meetings, emails, and spreadsheets to keep work aligned across systems.
Rich project context gets lost: Comments, relationships, attachments, and historical discussions may not reach the teams that need them.
Scaling synchronization becomes difficult: Manual tracking may work for smaller projects, but growing programs and distributed teams require automation to maintain alignment.
Unnoticed failures cause confusion: When updates don’t sync, teams lose trust in the data. Integration helps keep both systems consistent, so everyone works from the same information.
OpsHub Integration Manager connects Digital.ai TeamForge and Jira through near real-time, bi-directional synchronization. This ensures that project context is preserved and updates remain continuously aligned across both systems.
TeamForge to Jira: System and custom tracker types, planning folders, and teams are synchronized from TeamForge to Jira. This enables structured planning data and work items created in TeamForge to be seamlessly available for execution in Jira.
Jira to TeamForge: System and custom issue types, sub-task types, versions, and work logs are synchronized from Jira back to TeamForge. This ensures that execution progress, updates, and changes made in Jira are reflected in TeamForge.
The result: Teams benefit from synchronized data, unified project visibility, and end-to-end traceability across both platforms, eliminating manual coordination and reducing duplicate effort.
Integrate TeamForge and Jira in 4 easy steps
Step
Step
Select projects and entities to be synchronized
Step
Define sync direction and filters
Step
Map fields and activate synchronization
Problem Statement
Goal
Scenario
Teams manage tracker items, planning folders, and project structures in TeamForge.
Updates synchronize automatically to Jira with complete context and related information.
Jira teams continue working in their preferred workflows while updates synchronize back to TeamForge in near real time.
Both systems stay continuously aligned without duplicate effort.
The outcome:Teams gain accurate visibility, reduced manual coordination, connected collaboration, and reliable cross-system traceability.
Both teams work in their own platforms while data stays consistent and traceable.
Business value offered numbers
