Project Management migration

Migrate from BigTime to Jira

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

BigTime logo

BigTime

Source

Jira

Destination

Jira logo

Compatibility

75%

9 of 12

objects map 1:1 between BigTime and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

BigTime is a professional services automation platform combining time tracking, resource management, invoicing, and billing for consulting, engineering, and accounting firms. Jira is a work management and issue tracking platform with strong agile boards, customizable workflows, and over 3,000 integrations, but it has no native invoicing, expense billing, or PSA-specific features. Moving from BigTime to Jira is a structural migration from PSA to project management. We migrate Projects, Tasks, Team Members, Time Entries, and Expenses as Jira Projects, Issues, Users, and Worklogs. BigTime's two-level task hierarchy is flattened into Jira's Epic-Story-Task-Subtask model, and budget variance data is preserved as custom fields. Invoice records and billable rate schedules cannot migrate because Jira has no invoicing object. Workflows, automations, QuickBooks integration configs, and Data Warehouse credentials do not migrate; we provide a written inventory for the customer's admin to rebuild in Jira or a replacement billing tool.

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

BigTime logo

BigTime

What's pushing teams away

  • Users report that the mobile app is buggy and crashes frequently, forcing field staff to switch to desktop for accurate time entry—a friction point that leads to missed or incomplete time records.
  • The task hierarchy is limited to only two levels (parent and child), which frustrates project managers in complex engineering or consulting engagements who need deeper subtask nesting.
  • Pricing escalates quickly: advanced resource forecasting requires BigTime Foresight (an add-on), and tier upgrades from Essentials to Advanced or Premier carry significant cost increases for growing firms.
  • The reporting module is considered underpowered—users describe it as lacking depth, flexibility, and visual polish compared to dedicated BI tools, making it difficult to generate the dashboards leadership expects.
  • BigTime lacks a built-in calendar or visual planner, forcing teams to maintain a separate scheduling tool and reducing the all-in-one value proposition for some buyers.

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 BigTime objects map to Jira

Each row shows how a BigTime 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.

BigTime

Project

maps to

Jira

Jira Project

1:1
Fully supported

BigTime Projects map to Jira Projects as the top-level organizing entity. Project name, status (Active/Archived), start and finish dates, budget amounts, and client assignment all transfer. We map BigTime's Active/Archived status to Jira Project's archived flag and preserve the client assignment in the Jira Project description or a custom Project field. Jira Project Key (the prefix for issue numbers) is auto-generated or customer-specified during provisioning. Note: Jira has no native billing or WIP fields on Projects—budget and financial fields are migrated as custom number fields.

BigTime

Client

maps to

Jira

Jira Organization

1:1
Fully supported

BigTime Clients map to Jira Organizations (available on Jira Premium and Standard). Client name, primary contact, phone, email, billing address, and payment terms transfer as Organization fields. Jira Organizations support linking to multiple Projects, which mirrors BigTime's ability to assign a Client to multiple Projects. Where the destination Jira plan does not include Organizations, we embed client contact details in a custom field on the linked Project.

BigTime

Task (parent)

maps to

Jira

Jira Epic or Story

1:many
Fully supported

BigTime Tasks at the parent level can map to Jira Epic or Jira Story depending on the customer's intended agile structure. During scoping, we determine whether the BigTime project uses a flat task list or a hierarchical WBS. If the customer plans to use Jira Scrum, parent tasks become Epics and child tasks become Stories. If they use Jira Kanban, all tasks become Issues in a single board. BigTime's task-level budget allocation maps to Jira Story points or a custom field.

BigTime

Task (child/subtask)

maps to

Jira

Jira Story, Task, or Subtask

1:1
Fully supported

BigTime child Tasks map to Jira Stories, Tasks, or Subtasks based on the target project template selected during scoping. Because BigTime enforces only two hierarchy levels, every BigTime task that has a parent is a direct child with no further nesting. Jira supports unlimited nesting, but the source data has no depth to preserve. We flag any tasks with no parent for review—they may be orphaned records that should attach to a project-level Epic.

BigTime

Team Member

maps to

Jira

Jira User

1:1
Fully supported

BigTime Staff records (name, email, role, department, billable rate, cost rate) map to Jira User accounts. We match by email as the dedupe key. Any BigTime Staff record without a matching Jira User goes to a reconciliation queue for the customer's Jira admin to provision before record migration. Billable rate and cost rate are stored as custom number fields on the Jira User profile since Jira has no native labor rate concept.

BigTime

Time Entry

maps to

Jira

Jira Issue Worklog

1:1
Fully supported

BigTime Time Entries (project, task, staff, date, hours, billable/non-billable flag) migrate as Jira Worklog entries linked to the corresponding Jira Issue. The billable/non-billable flag transfers as a custom Jira field since worklogs have no native billing-status attribute. We set Worklog started and time spent directly from the BigTime time entry timestamp and duration. Already-invoiced time entries are flagged with a custom status field indicating they were billed in BigTime.

BigTime

Expense

maps to

Jira

Jira Issue Attachment + Label

1:1
Fully supported

BigTime Expense records (project association, expense code, amount, date, vendor, receipt reference) migrate as Jira Issue attachments (receipt metadata) and Jira Labels (expense code mapping). The expense amount and vendor transfer as custom fields on the Jira Issue. Expense codes from BigTime become Jira Labels so teams can filter and report on expense categories across projects. Receipt files migrate as Jira attachments on the linked Issue.

BigTime

Resource Allocation

maps to

Jira

Jira Component or Assignee Field

lossy
Fully supported

BigTime staff assignments to projects with scheduled hours map to Jira Components (team-level) or Assignee fields on Issues. Where BigTime uses role-based scheduling (assigning a role like 'Developer' to a project), we map to Jira Component with a role label, and the customer's admin assigns specific users to the Component after migration. We do not map BigTime capacity planning to Jira Sprint capacity without additional scoping for sprint-based resource management.

BigTime

Custom Fields (Projects)

maps to

Jira

Jira Custom Fields

lossy
Mapping required

BigTime Project Custom Fields (text, dropdown, checkbox, monetary, URL) migrate to Jira Custom Fields of equivalent type. We pre-create the Jira custom field schema before migration, including context assignment to the relevant Jira Project and Issue Type. Jira Cloud enforces required-field constraints that may differ from BigTime's custom field validation—we flag any null values in required Jira fields for manual resolution before migration.

BigTime

Budget vs. Actual (Scheduled vs. Actual Report)

maps to

Jira

Jira Custom Fields + Linked Dataset

1:1
Fully supported

BigTime's Scheduled vs. Actual report captures planned hours, cost, and revenue against tracked values. We migrate these as a linked dataset: the planned values become Jira Project-level custom number fields (budget_hours, budget_cost, budget_revenue), and the actual values come from migrated time entries and expenses. Variance calculations are stored as computed custom fields or delivered as a CSV companion file. Jira has no native budget tracking—these fields require a Jira reporting app or BI tool for variance dashboards.

BigTime

Invoice (historical, sent/paid)

maps to

Jira

Written data map only—no Jira equivalent

1:1
Fully supported

Sent and paid invoices in BigTime cannot migrate to Jira because Jira has no invoice, billing, or accounts receivable object. We export all sent and paid invoice records (invoice number, client, date, line items, amounts, status) as a structured CSV and JSON data package with a field mapping to any destination billing tool the customer selects post-migration. The customer or their accounting team performs the final import into QuickBooks, FreshBooks, or another billing platform.

BigTime

Invoice (draft)

maps to

Jira

Written data map with explicit status flag

1:1
Fully supported

Unsent invoice drafts in BigTime carry a risk of premature billing if imported as open records in a new system. We tag all migrated draft invoices with a source-status flag (draft) in the data map, set the status as Closed on any temporary staging import, and explicitly note in the handoff document that these records require billing-cycle confirmation before activation in any replacement tool.

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.

BigTime logo

BigTime gotchas

High

No trial period before purchase

High

Mobile app time entries are unreliable

Medium

Task hierarchy limited to two levels

Medium

Invoice drafts require explicit closed-status migration

Medium

Data Warehouse Delta Sharing is a one-time credential download

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

  • BigTime exports Projects to Jira as blank boards—Tasks do not transfer

    BigTime's native Jira integration (documented in the BigTime Help Center) creates a Jira Project from a BigTime Project but intentionally leaves the Jira board empty. Tasks are not exported by the native integration. This is a confirmed limitation documented by BigTime support: 'Tasks will not import with the project, so you will need to add tasks/issues to the blank project in Jira and then import them all back to BigTime.' We do not rely on the native integration. We use the BigTime REST API to export all task records and map them to Jira Issues, resolving the project and parent-child relationships programmatically.

  • BigTime's two-level task hierarchy requires flattening for Jira

    BigTime enforces parent-child only with no nested grandchildren. Jira supports Epic-Story-Task-Subtask nesting. When migrating, any BigTime task that should be a grandchild (for example, a sub-sub-task in a complex engineering WBS) is flattened to the nearest Jira equivalent (Task or Subtask). We flag records with depth greater than two during scoping and deliver a flattening map showing the original BigTime task chain and the Jira target. The customer's project manager reviews the map and confirms the Jira placement before production migration.

  • Jira has no native invoicing—invoice data requires a separate tool

    Jira Software has no invoice, billing, accounts receivable, or time-billing object. All invoice records (sent, paid, voided, draft) in BigTime cannot migrate as functional billing records. Sent and paid invoices migrate as a structured data export (CSV and JSON) with a field mapping guide for the customer's replacement invoicing tool (QuickBooks, FreshBooks, Bill.com, or similar). Draft invoices receive an explicit status flag in the export and are documented separately for billing-cycle reset. We do not create fake invoice records in Jira as a workaround because they would be indistinguishable from real data and cause confusion.

  • Jira field context constraints can block custom field import

    Jira Cloud enforces that custom fields are assigned to specific Issue Types and Projects. If a BigTime Custom Field is used on Projects but the Jira custom field context is not configured for the target Issue Type, the migration will reject those records. We pre-create Jira custom fields with a global context covering all relevant Issue Types, then narrow the context after migration if the customer wants field-level scoping. Atlassian documentation confirms this is a known issue: 'The custom field in the backup project is used by issue types but the field with the same name in the current Jira instance is not available to those issue types.'

  • Jira permissions schemes do not migrate across different Jira instances

    If the destination Jira site is a new Cloud instance rather than an existing org, the default permissions scheme applies to all migrated projects. BigTime's role-based staff permissions (Admin, Manager, Staff) do not map directly to Jira's permission schemes (Browse Projects, Create Issues, Edit Issues). We map BigTime roles to Jira project roles (Administrators, Members, Viewers) during migration, but the customer's Jira admin must review and confirm the permission scheme assignments post-migration. Jira's Cloud Migration Assistant documentation notes that 'permissions allocated to groups or project roles' may result in users being unable to see issues if those groups were not migrated.

Migration approach

Six steps for a successful BigTime to Jira data migration

  1. Discovery and data audit

    We audit the source BigTime account across all active Projects, Tasks (with hierarchy depth analysis), Team Members, Clients, Time Entries (volume and date range), Expenses, Custom Fields, and Resource Allocations. We identify Active versus Archived records and flag any data gaps attributable to the mobile app reliability issues (crash-prone entries that may be missing from the source). We review the BigTime Scheduled vs. Actual reports for budget variance data and extract a full record count by object type. The discovery output is a written migration scope with record counts, a dependency graph, and a Jira edition recommendation (Standard at $9/user or Premium at $17/user with advanced roadmapping).

  2. Schema design and Jira configuration

    We design the destination Jira schema including Projects (one per BigTime Project or consolidated by client), Issue Type schemes (Epic-Story-Task-Subtask), Custom Fields (matching BigTime Project Custom Field types), Jira Labels for expense codes, and project roles mapped from BigTime staff roles. We pre-create Jira Projects and custom fields in a Sandbox environment first for validation. The task flattening map (for any BigTime task depth exceeding two levels) is reviewed and approved by the customer's project manager before any production work begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Jira Sandbox using production-like record volumes. The customer's project lead reviews a random sample of 25-50 migrated Issues, verifying task hierarchy, assignee mapping, worklog entries, and budget field values against the BigTime source. Any mapping corrections—particularly the parent-child flattening and Jira Issue Type assignments—are documented and applied before production migration begins. This step prevents rework in the production environment and reduces the risk of a second cutover.

  4. Owner reconciliation and Jira user provisioning

    We extract every distinct BigTime Team Member referenced on Projects, Tasks, Time Entries, and Resource Allocations and match by email against the destination Jira site's User table. Any BigTime Staff record without a matching Jira User is added to a reconciliation report. The customer's Jira admin provisions any missing Jira Users before the production migration phase begins. Migration of Issues cannot proceed past this step because Jira requires a valid Assignee for each Issue.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Users (validated), Jira Organizations (from BigTime Clients), Jira Projects (from BigTime Projects with budget fields), Jira Issues (Tasks, Stories, Epics with parent-key resolution), Jira Worklogs (from BigTime Time Entries with billable flag), Jira Labels (from BigTime expense codes), and Custom Fields throughout. Each phase emits a row-count reconciliation report. Any records rejected due to Jira field constraints are logged, corrected, and retried in the same migration window. Invoice data is exported as a structured data package separately from the Jira migration.

  6. Cutover, validation, and handoff

    We freeze BigTime write access during cutover, run a final delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver the full migration report including record counts by object, rejection log, and the invoice data export package. We deliver a written inventory of BigTime Workflows, automations, and QuickBooks sync rules requiring rebuild in Jira Automation or a separate billing tool. We provide a one-week hypercare window for reconciliation issues. We do not rebuild BigTime Workflows as Jira Automation rules inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

BigTime logo

BigTime

Source

Strengths

  • All-in-one PSA covering time tracking, resource management, invoicing, and expenses for professional services workflows
  • Official QuickBooks Online and Desktop integration with bidirectional sync of clients, projects, and expense codes
  • Configurable Custom Fields on Projects allow firms to adapt the data model without code changes
  • REST API with XML and JSON support enables programmatic access to all core objects for migration scripting
  • Premier tier includes financial forecasting, real-time dashboards, and utilization reporting for firm-wide visibility

Weaknesses

  • Mobile app is widely reported as buggy, crash-prone, and unreliable for field-based time entry
  • Task hierarchy limited to two levels (parent and child only) constrains complex project structures in engineering and consulting
  • No free trial—prospects must engage a sales rep before testing the software, raising the barrier to evaluation
  • Advanced resource planning features gated behind BigTime Foresight add-on, increasing total cost beyond the base tier
  • No built-in calendar or visual scheduling planner—teams must maintain a separate scheduling tool
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 BigTime 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

    BigTime: Not publicly documented in the help center or public API docs.

  • Data volume sensitivity

    B

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

Estimator

Estimate your BigTime 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 BigTime to Jira data migrations

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

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Most migrations land between three and five weeks for accounts with fewer than 50 projects, 500 tasks, and 10,000 time entries. Migrations with deep task hierarchies requiring flattening beyond BigTime's two-level limit, large worklog histories (over 100,000 entries), budget-vs-actual variance datasets, or multiple Jira Projects to provision move to seven to twelve weeks because of task-hierarchy analysis, Jira schema configuration, and Jira Sandbox testing time.

Adjacent paths

Related migrations to explore

Ready when you are

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