Project Management migration

Migrate from Dart to Jira

Field-level mapping, validation, and rollback between Dart and Jira. We move data and schema; workflows are rebuilt natively in Jira.

Dart logo

Dart

Source

Jira

Destination

Jira logo

Compatibility

73%

8 of 11

objects map 1:1 between Dart and Jira.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Dart to Jira is a structural migration for teams that need deeper developer-tooling integration and more granular workflow control. Dart's API is sparsely documented and stores attachments as linked resources rather than embedded fields, requiring a discovery pass before scoping and a separate attachment transfer pass during migration. Jira organizes work into Projects containing Issues with a configurable workflow model that supports Scrum, Kanban, and mixed methodologies. Custom fields in Jira must be defined within a project context and assigned to screens before data can populate them, which is the opposite sequencing from Dart's workspace-level custom field definitions. We sequence custom field creation first, then task import, then attachment re-association. Jira Cloud's burst rate limits, introduced in late 2025, require exponential backoff and batch chunking to avoid 429 errors at scale. Workflows, automation rules, and reports do not migrate as configuration; we deliver a written inventory for the customer's admin to rebuild in Jira.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Dart logo

Dart

What's pushing teams away

  • Smaller installed base and ecosystem than Linear, Jira, Asana, or ClickUp — fewer prebuilt apps, no large marketplace, and limited third-party reporting connectors beyond the documented Slack, Discord, GitHub, and Zapier integrations.
  • AI-heavy positioning means heavy reliance on ChatGPT/Claude credentials and model availability; teams in regulated industries or with strict data-residency requirements may need to disable or vet those integrations carefully.
  • Public API rate limits and bulk endpoints are not published outside the OpenAPI spec, so large historical exports require a careful test loop rather than relying on a documented batch contract.
  • Business-tier features such as SAML SSO, SCIM, advanced analytics, and granular access management require the top tier; teams that need SSO without a deep AI roadmap find the Premium-to-Business price jump harder to justify.
  • As a newer product, change cadence is high — feature names, MCP server endpoints, and integration patterns have shifted recently (per the vendor's own help docs noting a simplified hosted MCP), which can introduce migration churn.

Choosing

Jira logo

Jira

What's pulling them in

  • Industry-standard tool with deep Git integration and sprint reporting that engineering teams already know, reducing onboarding friction for new hires.
  • Highly customizable workflows and status schemes let business teams model complex approval chains without writing code.
  • Strong ecosystem of Atlassian Marketplace apps means specialized capabilities like time tracking or portfolio management are one install away.
  • Free tier with up to 10 users and unlimited issues gives small teams a no-cost entry point to validate the platform before committing budget.
  • Visibility features — boards, backlog grooming, sprint reports, and dashboards — give leadership a shared view of what is planned, in progress, blocked, and done.

Object mapping

How Dart objects map to Jira

Each row shows how a Dart object lands in Jira, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Dart

Workspace

maps to

Jira

Project

1:many
Fully supported

Dart Workspaces are the top-level organizational unit and map to Jira Projects. If the customer has multiple Dart workspaces, each becomes a separate Jira Project. We resolve the workspace-to-project mapping during scoping and create Jira projects in the target Jira site before any record migration begins. Workspace-level member roles map to Jira project-level roles (Administrators to Project Admin, Members to Member, Viewers to Viewer).

Dart

Project

maps to

Jira

Project (child container)

1:1
Fully supported

Dart Projects nest inside Workspaces and map to Jira Projects if the workspace maps to a Jira Project, or to a Jira Epic or Label within the target Jira Project if the workspace maps to a parent Jira Project. The customer's Jira project structure determines which mapping applies, decided during scoping.

Dart

Task

maps to

Jira

Issue

1:1
Fully supported

Dart Tasks map to Jira Issues. The standard fields map 1:1: task title to Issue summary, description to Issue description, due date to Due date, assignee to Assignee. Status in Dart maps to a Jira Status value that we configure as the target workflow's initial state. Custom field values on Dart tasks map to Jira custom fields that we create and assign to the relevant project screens before migration.

Dart

Subtask

maps to

Jira

Sub-task

1:1
Fully supported

Dart Subtasks nested under Tasks map to Jira Sub-task Issues. We preserve the parent_id reference from Dart and set the Jira Sub-task's Parent link to the migrated parent Issue key. Jira Sub-tasks require the Sub-tasks subfeature enabled on the target project, which we configure before migration.

Dart

Custom Field Definition

maps to

Jira

Custom Field

lossy
Fully supported

Dart custom fields are defined at the Workspace level and then assigned to tasks within a Project. We extract the full field definition list during discovery, map Dart field types (text, number, date, select, multi-select) to Jira custom field types (Text Field, Number Field, Date Picker, Single Select, Multi Select), and create them in Jira before any task data loads. Field definitions and field values migrate in separate phases.

Dart

Custom Field Value

maps to

Jira

Custom Field Value

1:1
Fully supported

After custom field definitions are created in Jira and assigned to the relevant project screens, we migrate Dart task custom field values by matching the Dart task_id to the newly created Jira Issue key and writing the custom field values in a second phase. Without this two-phase approach, custom field data is silently dropped because Jira rejects values for fields not yet present in the schema.

Dart

Attachment

maps to

Jira

Attachment

1:1
Fully supported

Dart stores attachments as linked resources rather than embedded file fields. We iterate each attachment, retrieve its URL and metadata via Dart's API, download the file to temporary storage, upload it to Jira's attachment endpoint (POST /rest/api/3/issue/{issueIdOrKey}/attachments), and link it to the migrated issue. For migrations with thousands of attachments, this adds a meaningful second pass to the transfer timeline.

Dart

Time Entry

maps to

Jira

Worklog

1:1
Fully supported

Dart time entries linked to tasks and users migrate to Jira Worklog records. We resolve the Dart user email to the Jira user accountId before creating the worklog entry. The time entry description and billable flag map to Jira worklog fields. Jira's time tracking subfeature must be enabled on the target project before worklogs can be created.

Dart

Assignee

maps to

Jira

Assignee

1:1
Fully supported

Dart assignee references link to user IDs. We extract all assignee email addresses, match them against Jira user accounts by email, and create Jira Issue Assignee fields using the resolved accountId. Any Dart user without a matching Jira account is flagged in a reconciliation report for the customer's admin to provision before record migration resumes.

Dart

User

maps to

Jira

User

1:1
Fully supported

Dart workspace members map to Jira site users. We perform email-based matching during discovery. Jira Cloud sites can have users added manually or via directory sync (Google Workspace, Okta, Azure AD). We flag users that exist in Dart but not in Jira as a provisioning list for the customer's admin before migration begins.

Dart

Workspace Settings

maps to

Jira

Project Settings

lossy
Fully supported

Dart workspace settings including default task templates, notification preferences, and workspace-level integrations map to Jira project settings, notification schemes, and permission schemes. Integration connections do not migrate; we document which integrations need reconfiguration in Jira (Jira + GitHub, Jira + Slack, Jira + CI/CD tools) as part of the post-migration handoff.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Dart logo

Dart gotchas

High

Sparse public API documentation limits pre-migration discovery

Medium

Workspace-level custom field definitions require separate migration step

Medium

Attachment storage model requires double-handling

Jira logo

Jira gotchas

High

Unsupported workflow validators silently skipped during migration

High

Custom fields converted to flat text labels when migrating to non-Jira platforms

Medium

Historical status-change timestamps lost when exporting without a Marketplace plugin

Medium

Attachment import failures from oversized files and JQL reference corruption

Medium

Points-based API rate limits enforced on Jira Cloud apps from March 2026

Pair-specific challenges

  • Sparse Dart API documentation requires live discovery before migration plan

    Dart does not publish comprehensive API documentation in publicly indexed sources. When scoping a Dart to Jira migration, we cannot rely on API reference docs to understand the full data model, custom field schema, or attachment endpoint behavior. We resolve this by performing live API discovery during the scoping call, using authenticated API calls to introspect the actual object list, field definitions, relationship endpoints, and attachment URLs before committing to a migration plan. Migrations scoped without discovery risk missing undocumented fields and producing incomplete record counts.

  • Jira Cloud burst rate limits require exponential backoff and chunking

    Atlassian introduced burst API rate limits for Jira Cloud in late 2025, enforced with a token bucket algorithm that allows short activity spikes but maintains a sustainable average rate. The limits are per-tenant per-API. We implement exponential backoff with jitter on 429 responses, batch chunking for bulk inserts (max 50 issues per bulk request), and a pacing delay between batches to stay within the sustained rate. Large migrations without this handling receive 429 errors that block the transfer and can affect other API consumers on the same Jira Cloud site.

  • Jira custom fields must be created before custom field values can migrate

    Custom fields in Jira are defined per project and assigned to screens before data can populate them. Dart stores custom field definitions separately from task records, meaning the definitions and values are in different API resources. We sequence the migration to first create all custom field definitions in Jira, assign them to the relevant project screens and issue types, then load task records with their custom field values. Skipping the schema-first phase results in Jira silently rejecting custom field data on the first import attempt, requiring a second pass to backfill values.

  • Attachment re-association requires a second API pass after issue creation

    Dart stores file attachments as separate linked resources fetched per file. Jira's attachment endpoint requires the issue to exist before attachments can be attached. This means we must complete full task creation and custom field population in Jira, then iterate the attachment list in a second pass, download each file from Dart, upload to Jira's attachment API, and link to the correct issue key. For large attachment libraries, this adds a meaningful second migration phase and doubles the API call volume.

  • Jira workflows, automation rules, and reports do not migrate as configuration

    Dart's workflow-style settings and any notification rules are not transferable to Jira's workflow state machine model. Jira workflows reference project-specific statuses and transitions that must exist in the target project before the workflow can be configured. We do not migrate workflows, Jira Automation rules, or saved filters as code. We deliver a written inventory of every Dart workspace setting, any workflow-like configuration, and Jira's equivalent configuration path in Jira Software for the customer's admin to rebuild. Reports and dashboards similarly require reconstruction in Jira.

Migration approach

Six steps for a successful Dart to Jira data migration

  1. Discovery and API schema introspection

    We perform live API discovery against Dart's endpoints to map the actual object inventory, custom field definitions, attachment URLs, and user list. Since Dart does not publish comprehensive public API documentation, this discovery pass replaces static reference documentation. We extract all workspaces, projects, tasks, subtasks, custom field definitions, time entries, and attachment metadata. We pair this with a Jira project structure survey: how many Jira projects are needed, what issue types are required, and which projects need Sub-tasks and time tracking enabled.

  2. Schema design and Jira project configuration

    We design the Jira destination schema before any data moves. This includes provisioning Jira projects, enabling the Sub-tasks feature on relevant projects, enabling time tracking where time entries exist in Dart, creating all custom fields with correct field types, and assigning custom fields to the appropriate screens and issue types. We configure Jira workflow statuses to match Dart task status values where possible, and document any status mapping that requires a custom workflow. All schema changes deploy to a Jira Sandbox or the target project first for validation.

  3. User reconciliation and Jira account provisioning

    We extract every distinct Dart user referenced as assignee, creator, or time entry owner and match by email against the Jira destination site's user directory. Users without a matching Jira account are listed in a provisioning report for the customer's Jira admin to create or sync via directory connector (Google Workspace, Okta, Azure AD). Migration cannot proceed past user reconciliation because Jira requires a valid accountId for all assignee and worklog author references. We also configure Jira project role membership based on the Dart workspace membership list.

  4. Phase 1 migration: custom field definitions and projects

    We create Jira custom fields in the first migration phase, assign them to the relevant project screens, and create Jira projects corresponding to Dart workspaces. Projects are created before any task data so that the parent reference is satisfied at task creation time. If multiple Dart workspaces map to separate Jira projects, we run those in parallel where API rate limits allow.

  5. Phase 2 migration: tasks, subtasks, and custom field values

    We migrate Dart tasks in dependency order: tasks without parent tasks first, then subtasks with parent_id resolved to the Jira Issue key. Custom field values write in the same batch as task records once the custom field definitions are confirmed in Jira. Assignee fields resolve via the user lookup table created in step 3. Time entries write after task creation, resolving user accountId for each worklog. Jira Cloud burst rate limits are enforced with exponential backoff and batch chunking throughout this phase.

  6. Phase 3 migration: attachments and cutover

    We iterate all Dart attachment records, download file content, and upload to the Jira attachment endpoint on the migrated issue. This is a separate pass after all tasks are confirmed in Jira because the issue must exist before attachments can attach. After attachment migration completes, we run a final delta check against Dart to catch any records modified during the migration window. We freeze Dart access, perform a final validation pass against Jira, and hand off the written inventory of workspace settings, integration connections, and workflow equivalents for the customer's admin to rebuild.

Platform deep dives

Context on both ends of the pair

Dart logo

Dart

Source

Strengths

  • Seamless integration with Flutter as a mobile-first project management option
  • Consistent and predictable syntax and API behavior according to developer reviews
  • Highly rated by small teams on G2 and Capterra with 4.4 to 5.0 star ratings
  • Simple interface that teams find straightforward to adopt
  • Supports monthly and yearly billing cycles with credit card and ACH payment options

Weaknesses

  • Limited public API documentation makes migration scoping harder
  • Small review sample size of 53 verified reviews on G2 means limited migration precedent data
  • Flutter-specific integration suggests limited appeal outside mobile-first teams
  • Custom field definitions are workspace-level and must be migrated separately from data
  • Attachment storage as linked resources requires an extra API pass and file re-upload step
Jira logo

Jira

Destination

Strengths

  • Deeply customizable workflows and status schemes with no hard limits on workflow complexity or number of custom statuses.
  • Strong agile ceremony support: sprint planning, backlog grooming, velocity tracking, and burndown charts for Scrum teams.
  • Industry-standard developer tool with native Git integration linking commits, pull requests, and deployments to issues.
  • Large Atlassian Marketplace with thousands of plugins extending time tracking, portfolio management, and reporting capabilities.
  • Free tier available for up to 10 users with unlimited issues, enabling evaluation before committing to a paid plan.

Weaknesses

  • Excessive configurability creates a steep learning curve; cross-team consistency is hard to maintain without strict governance.
  • Performance degrades with large backlogs, complex custom fields, and heavily nested issue hierarchies.
  • Reporting requires additional configuration or paid plugins; out-of-the-box analytics are limited for business users.
  • Jira lacks native sprint management, requiring Jira Software for true agile team features.
  • Teams outside engineering resist adoption due to UI complexity, leaving the all-in-one promise unfulfilled for cross-functional organizations.

Complexity grading

How hard is this migration?

Moderate Project Management migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Dart and Jira.

  • Object compatibility

    C

    4 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Dart: Not publicly documented outside the OpenAPI spec — confirmed during scoping and validated empirically before any bulk extraction..

  • Data volume sensitivity

    B

    Dart doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Dart to Jira migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Dart to Jira data migrations

Answers to the questions buyers ask most during Dart to Jira migration scoping. Not seeing yours? Book a call.

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Migrations under 10,000 tasks with no custom objects and under 5,000 attachments land between three and five weeks. Migrations with extensive custom field definitions, multiple Dart workspaces, large attachment libraries, or time entry histories exceeding 50,000 records move to eight to twelve weeks because of the discovery phase, custom field sequencing, file re-upload passes, and Jira Cloud rate limit pacing. The discovery and schema design phase typically takes one to two weeks regardless of record volume.

Adjacent paths

Related migrations to explore

Ready when you are

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