Project Management migration

Migrate from actiTIME to Jira

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

actiTIME logo

actiTIME

Source

Jira

Destination

Jira logo

Compatibility

58%

7 of 12

objects map 1:1 between actiTIME and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from actiTIME to Jira involves collapsing a three-tier Customer → Project → Task hierarchy into Jira's flat Project → Issue model. actiTIME Customers map to Jira Projects, Projects to Jira Projects (or sub-projects), and Tasks to Jira Issues. Time-track entries — the operational core of actiTIME — migrate as Jira worklogs when the destination project has time-tracking enabled. We resolve actiTIME's Types of Work taxonomy to Jira Issue Types or a custom field, and we map actiTIME Workflow Statuses to Jira Statuses (not workflows — Jira workflows and automation rules must be rebuilt by the admin post-migration). Leave-time records, department assignments, and time-zone groups have no direct Jira equivalent; we flag these in the migration report and document the manual steps required to preserve this data. Jira offers a Free tier (up to 10 users), Standard ($7.75/user/month), and Premium ($15.25/user/month) for organizations needing advanced roadmapping and portfolio management.

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

actiTIME logo

actiTIME

What's pushing teams away

  • The product lacks native integrations with CRM and invoicing platforms, forcing teams into manual CSV exports and re-entry that erodes the value of time tracking.
  • Users report that the mobile app requires manual synchronization — hours entered offline do not push automatically when connectivity returns, leading to lost or forgotten entries.
  • actiTIME's feature set is centred on time tracking and basic project management; teams seeking full project-management capabilities like Gantt charts, resource-leveling, or advanced dependencies outgrow it.
  • Limited API documentation and the absence of OAuth authentication create friction for teams trying to automate data flows or build custom integrations.
  • Some users note that actiTIME's UI, while functional, feels dated compared to newer time-tracking tools, particularly on mobile.

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 actiTIME objects map to Jira

Each row shows how a actiTIME 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.

actiTIME

Customer

maps to

Jira

Project

1:1
Fully supported

actiTIME Customers map to Jira Projects as the top-level organizational unit. The actiTIME customer name becomes the Jira Project name, and customer description becomes the Jira Project description. If the Customer contains archived projects, we skip those unless the customer requests inclusion. Jira's project category can be used to group multiple migrated Customers if the Jira instance serves multiple business units under one site.

actiTIME

Project

maps to

Jira

Project or Sub-project

1:many
Fully supported

actiTIME Projects map to Jira Projects when the source hierarchy has no Customer above them, or to Jira sub-projects when they belong to a Customer that maps to a parent Jira Project. Jira sub-projects share a JQL filter or Project Category with the parent for cross-project reporting. We check the /info endpoint's taskWorkflow and taskEstimates flags to confirm Projects have the expected task structure before migration.

actiTIME

Task

maps to

Jira

Issue

1:1
Fully supported

actiTIME Tasks map to Jira Issues. The mapping uses Issue Type to distinguish task types: Tasks with no sub-tasks become Jira Tasks or Stories; Tasks with sub-tasks become Jira Epics with child Stories. The actiTIME task status (workflow-controlled) maps to a Jira Status, and the actiTIME deadline becomes the Jira Due Date. Custom field values on actiTIME Tasks (if any exist) map to Jira custom fields, which we pre-create in the destination project before migration.

actiTIME

Time-Track Entry

maps to

Jira

Worklog

1:1
Fully supported

actiTIME time-track records map to Jira Issue worklogs. Time-tracking must be enabled in the destination Jira project before migration. We map hours, date, billability flag, type of work, and comments to Jira worklog fields. The actiTIME user (by email) resolves to the Jira User account. Locked timesheet entries from actiTIME (timesheet lock status) have no Jira equivalent; we restore them as standard worklogs and document the loss of lock status in the migration report. Jira stores worklogs against Issues rather than as standalone records, so we resolve the parent Issue reference before inserting.

actiTIME

User

maps to

Jira

User

1:1
Fully supported

actiTIME Users map to Jira Users by email address. We export the full user roster including first/last name, email, active/inactive status, and timezone group assignment. Active actiTIME users must have a Jira account provisioned before migration; inactive users migrate as inactive Jira users or are excluded per the customer's scoping decision. We flag any actiTIME user referenced in time-track entries who has no Jira account for admin provisioning.

actiTIME

Department

maps to

Jira

Project Role or Label

lossy
Fully supported

actiTIME Departments are a feature-gated object controlled by the Departments flag in the /info endpoint. Not all instances have this enabled. Where departments exist, we export the department roster and user assignments. Jira does not have a native department object; we map departments to Jira Project Roles (if the department structure maps cleanly to project-level roles) or to a multi-select Label field on Issues. The customer chooses the strategy during scoping.

actiTIME

Time Zone Group

maps to

Jira

Jira User Timezone Setting

lossy
Fully supported

actiTIME Time Zone Groups group users by timezone for reporting. Jira stores timezone at the user account level (Jira user profile). We export the TZG roster and user assignments, then set the timezone on each migrated Jira User account. Jira's reporting tools respect user timezone settings for date grouping.

actiTIME

Type of Work

maps to

Jira

Issue Type or Custom Field

lossy
Fully supported

actiTIME Types of Work (e.g., Development, Meeting, Research) categorise time-track entries. Jira has no native type-of-work taxonomy on worklogs. We export the type-of-work taxonomy and map it either to a Jira custom field on Issues (Work Type: single-select picklist) or to Jira Issue Types if the customer wants work type reflected at the issue level. The choice is made during scoping based on reporting requirements.

actiTIME

Workflow Status

maps to

Jira

Status

lossy
Fully supported

actiTIME Workflow Statuses are a feature-gated capability (taskWorkflow flag). Custom workflow stages vary by instance. We export the current status definitions and apply them to Jira Statuses in the destination project. Jira statuses are defined per project (or shared via Statuses.com shared configuration), so we create matching status values in the destination project. Note: this migrates the status vocabulary, not the workflow automation rules; Jira Automation rules must be rebuilt by the admin post-migration.

actiTIME

Leave Time

maps to

Jira

No Direct Mapping

1:1
Mapping required

actiTIME Leave Time is controlled by the leavetimeRegistration feature flag and may not exist on all instances. Jira has no leave-time, PTO, or absence tracking object in standard Jira Software. We export leave-time records for audit and reconciliation purposes, then map them to a CSV export and Jira custom field(s) if the customer wants historical leave data accessible within Jira. Alternatively, we recommend the customer implement a dedicated HR tool (BambooHR, Rippling, or a Jira Marketplace app like Time Off Tracker) post-migration. The leave-time data is preserved in the migration report even if it cannot be placed inside Jira natively.

actiTIME

Task Estimate

maps to

Jira

Story Points or Original Estimate

1:1
Fully supported

actiTIME Task Estimates (planned hours per task) are an optional feature controlled by the taskEstimates flag. Where enabled, we map these to Jira Story Points (if the destination project uses story point estimation) or to the Jira Original Estimate field (if the project uses time-based estimation). The mapping choice is made during scoping based on the customer's existing Jira estimation practice.

actiTIME

User (inactive)

maps to

Jira

User (deactivated)

1:1
Fully supported

actiTIME Users with inactive status map to deactivated Jira Users. Deactivated Jira users retain historical associations (worklog author, issue assignee) even after deactivation, preserving audit trails for migrated time-track data. We do not delete or skip inactive users from migration; their records are preserved to maintain data integrity in the historical worklog history.

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.

actiTIME logo

actiTIME gotchas

High

Basic Authentication only — no OAuth

High

Feature flags gate entire object classes

High

Deleting a project permanently erases all associated time-track data

Medium

Locked timesheets prevent time-track modification

Medium

Batch API maxBatchSize caps concurrent requests

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

  • actiTIME Basic Auth — no OAuth 2.0 for API access

    actiTIME's API exclusively supports HTTP Basic Authentication with username:password Base64 encoding. There is no OAuth 2.0, no API key generation UI, and no token refresh mechanism. Any integration or migration script must handle credentials directly. If the customer's actiTIME instance uses SSO or external directory authentication, we request a dedicated API service account during the scoping call before attempting authentication. Jira, by contrast, supports OAuth 2.0, API tokens, and OAuth with Jira Data Center — so the migration endpoint is more flexible than the source endpoint.

  • Jira worklog is a child of an Issue — no standalone time-track API

    actiTIME stores time-track entries as first-class standalone records retrievable by user, date, task, project, or customer via dedicated API endpoints. Jira worklogs are always children of an Issue — there is no standalone worklog API that creates or queries worklogs without a parent Issue reference. This means we must resolve the parent Issue (Jira Issue key) for every time-track entry before inserting, and we cannot validate or reconcile worklogs independently of the issue migration. If any actiTIME time-track records reference a Task whose Issue could not be created in Jira, those worklogs land in a reconciliation queue.

  • Jira time-tracking must be enabled per project

    Jira does not enable time-tracking at the site level — it is a per-project configuration. If the destination Jira project has time-tracking disabled, worklogs cannot be created in that project regardless of API permissions. We check the destination project's time-tracking setting before the worklog migration phase. If disabled, we document the specific projects and either request the customer enable it (via Jira project settings or the Jira REST API) or move those time-track entries to a CSV export with a note that they require manual re-entry after time-tracking is enabled.

  • Leave-time, departments, and overtime have no Jira equivalent

    actiTIME's leave-time tracking, department management, and overtime calculation features have no direct analog in Jira Software. Jira has no PTO tracking, no organizational department hierarchy, and no built-in overtime calculation on worklogs. We export leave-time records as a structured CSV for the customer's HR team to import into a dedicated HR or time-off tool. Departments map to Jira Project Roles or Labels as a workaround, but this does not replicate the organizational hierarchy. Overtime calculations in actiTIME (based on timesheet locking and hours beyond threshold) cannot be migrated to Jira without a custom field and manual reporting logic.

  • Jira Automation and workflows do not migrate — they are not data

    Jira Automation rules, workflow transition rules, screen schemes, and notification schemes are configuration objects, not records. They do not migrate. actiTIME has no workflow automation to migrate in the first place, but any Jira configuration in the destination instance (or any planned Jira automation that the customer expects to run against migrated data) must be rebuilt post-migration. We do not rebuild Jira workflows or automation as part of the migration scope. We deliver a written inventory of any Jira configuration detected in the destination instance and a handoff document for the customer's Jira admin.

Migration approach

Six steps for a successful actiTIME to Jira data migration

  1. Discovery and feature scan

    We authenticate to actiTIME via Basic Auth and query the /info endpoint to retrieve all feature flags (departments, taskWorkflow, taskEstimates, leavetimeRegistration, timeZoneGroups, maxBatchSize). This tells us which objects actually exist in the source instance and which are gated off. We simultaneously inventory Jira destination: project count, whether time-tracking is enabled per project, existing issue type schemes, status schemes, and custom fields. The output is a written scoping document listing every object we will migrate, every object we will skip with an explanation, and a Jira configuration checklist for the customer's admin.

  2. User and Owner reconciliation

    We extract every distinct actiTIME user referenced in time-track entries, task assignments, and the user roster. We match by email against the Jira destination site's user directory. Any actiTIME user with no Jira account goes to a reconciliation queue; the customer's Jira admin provisions those accounts before record migration begins. Jira user licensing (Free tier limit of 10, Standard, or Premium) is confirmed at this stage so the customer understands any license cost implications before we proceed.

  3. Schema design and Jira configuration preparation

    We pre-create Jira custom fields (for type-of-work, original lifecycle data, or any actiTIME custom fields that need a home), verify or configure status values per project, and confirm time-tracking is enabled on every destination project. For actiTIME Customers and Projects that require Jira sub-project decomposition, we design the sub-project structure during this phase and present it for customer approval. Departments (where present) are mapped to Project Roles or Label values per the customer's chosen strategy.

  4. Sandbox or dry-run migration

    We run a full dry-run migration into a test environment or a dedicated Jira project to validate the mapping logic. The customer's project manager or admin spot-checks 25-50 random time-track entries against their actiTIME source, confirms issue creation and worklog attachment are correct, and reviews the department and type-of-work field values. Any mapping corrections (wrong status mapping, missing custom fields, incorrect parent-issue resolution) happen here before production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Users (validated from Step 2), Jira Projects (from actiTIME Customers), Jira Issues (from actiTIME Tasks with parent-Issue resolution), then Jira Worklogs (from actiTIME time-track entries with parent-Issue reference resolved). Each phase emits a row-count reconciliation report. Types of Work and Task Estimates map to Jira custom fields during issue creation. Leave-time records export to CSV for the customer's HR team. Departments and Time Zone Groups apply to Jira user and project settings post-import.

  6. Cutover, delta sync, and handoff

    We freeze actiTIME writes during cutover, run a final delta migration of any time-track entries or tasks created or modified during the migration window, then declare Jira the system of record. We deliver the migration report including: record counts per object, skipped objects with reasons, worklog volume and date range, leave-time CSV export, and a Jira automation rebuild inventory for the customer's admin. We support a 48-hour hypercare window for reconciliation issues. We do not rebuild Jira workflows or automation inside the migration scope.

Platform deep dives

Context on both ends of the pair

actiTIME logo

actiTIME

Source

Strengths

  • Long-established platform with over 20 years of market presence and a stable, well-understood data model.
  • Offers both SaaS (Online) and self-hosted deployment options for organizations with data-residency requirements.
  • Hierarchical Customer → Project → Task structure is clean and maps predictably to most destination systems.
  • Rich time-track data including billability flags, type of work, comments, and approval statuses.
  • Integrated leave-time tracking and timesheet approval workflows reduce the need for separate HR tools.

Weaknesses

  • API authentication is limited to Basic Authentication only — no OAuth 2.0, which restricts automated integrations in environments requiring modern auth patterns.
  • Feature gates throughout the instance mean not all objects exist in every deployment, requiring a pre-migration feature scan.
  • Limited native integrations with CRM, invoicing, or ERP platforms, making actiTIME a data silo for many organizations.
  • Mobile app requires manual data synchronization rather than automatic background sync when connectivity is restored.
  • The platform lacks advanced project-management features like Gantt charts, resource-leveling, or dependency tracking.
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?

Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    3 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

    actiTIME: maxQueryLimit and maxBatchSize exposed per-instance via the /info endpoint; not publicly documented in general API guide.

  • Data volume sensitivity

    A

    actiTIME exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your actiTIME 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 actiTIME to Jira data migrations

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

Can't find your answer?

Walk through your actiTIME to Jira migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between three and five weeks for accounts with under 5,000 tasks, under 50,000 time-track entries, and a clean Customer → Project mapping with no sub-project decomposition required. Migrations with large time-track histories (over 200,000 entries), complex Customer hierarchies requiring Jira sub-project architecture, multiple Jira destination projects, or a new Jira instance that requires full schema creation move to seven to eleven weeks. Jira Cloud Migration Assistant throughput for issues (referenced by Atlassian at 5,000,000 issues per 24 hours for pure-issue migration) does not apply to actiTIME because actiTIME lacks a native Jira importer — the mapping requires custom transformation rather than direct import.

Adjacent paths

Related migrations to explore

Ready when you are

Move from actiTIME.
Land in Jira, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day