Project Management migration

Migrate from Kantata Professional Services Cloud (formerly Mavenlink + Kimble) to Jira

Field-level mapping, validation, and rollback between Kantata Professional Services Cloud (formerly Mavenlink + Kimble) and Jira. We move data and schema; workflows are rebuilt natively in Jira.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble) logo

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Source

Jira

Destination

Jira logo

Compatibility

82%

9 of 11

objects map 1:1 between Kantata Professional Services Cloud (formerly Mavenlink + Kimble) and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Kantata Professional Services Cloud to Jira is a project-centric migration that strips out the PSA layer. Kantata tracks work hierarchically inside Workspaces with integrated resource assignments, billing rates, estimates, and time entries; Jira stores those same project, task, and subtask records as Issues inside Projects. We extract the workspace-task-subtask graph from Kantata, map each object type to its Jira equivalent, and write the hierarchy into a pre-configured Jira project. Financial objects—invoices, billing rates, estimates, scenarios, and resource assignments—do not have native Jira equivalents; we flag these as custom-field candidates or attach them as linked records in the migration report. Automations, billing rules, and workflow triggers built inside Kantata do not migrate. We deliver a written inventory of every active automation requiring rebuild in Jira Automation or Forge.

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

Kantata Professional Services Cloud (formerly Mavenlink + Kimble) logo

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

What's pushing teams away

  • Task management is widely described as inflexible—advanced project tracking features require manual updates and struggle to accommodate complex multi-phase or milestone-heavy engagements.
  • The learning curve is steep for non-technical project managers, particularly around configuring custom fields, setting up billing rules, and understanding the distinction between OX and SX workspaces.
  • Pricing is opaque and scales significantly with seat count and feature tier, making it difficult to predict costs for growing teams or firms with seasonal staff fluctuations.
  • Users report that resource scheduling interfaces feel dated compared to modern alternatives, with slow screen transitions and unintuitive drag-and-drop allocation interactions.
  • The 2022 Mavenlink–Kimble merger created a bifurcated product line with divergent terminology and data models, confusing customers who expected a unified platform post-merger.

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 Kantata Professional Services Cloud (formerly Mavenlink + Kimble) objects map to Jira

Each row shows how a Kantata Professional Services Cloud (formerly Mavenlink + Kimble) 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.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Workspace

maps to

Jira

Project

1:1
Fully supported

Kantata OX Workspaces and Kantata SX Projects map directly to Jira Projects. During extraction we identify which product line each workspace belongs to by querying the workspace's internal product_type identifier, then apply the correct field map. The Jira Project must be created with the appropriate issue type scheme and workflow before workspace records insert, because Jira requires the project key prefix to exist before Issues can be assigned to it.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Task / Story (OX)

maps to

Jira

Story / Task / Bug

1:1
Fully supported

Kantata OX Tasks and Stories map to Jira Issue subtypes (Story, Task, Bug) based on the task's type identifier in Kantata. We read the task.type field and map STORY to Jira Story, TASK to Jira Task, and any BUG identifier to Jira Bug. The parent-child hierarchy (task.subtask_ids) reconstructs as Jira subtasks attached to their parent Issue. Subtask nesting beyond two levels in Kantata may exceed Jira's subtask depth, which we flag during scoping.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Subtask

maps to

Jira

Subtask

1:1
Fully supported

Kantata Subtasks attach to parent Tasks and inherit some parent-level fields. Jira Subtasks are a first-class issue subtype. We map subtask.parent_id to the Jira parent Issue key, preserving the title, description, status, and assignee. WBS numbering from Kantata's New Task Tracker does not transfer to Jira; we include the original WBS path in the Issue description as a reference note.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

User

maps to

Jira

User

1:1
Fully supported

Kantata Users (internal staff and contractors) map to Jira Users by email address. We extract every user referenced on resource assignments, time entries, and task assignments, then resolve by email against the Jira Cloud or Data Center instance. Any Kantata user without a matching Jira account goes to a reconciliation queue for the customer's admin to provision before record import begins.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Resource Assignment

maps to

Jira

Custom Field (User Assignee + Role)

lossy
Fully supported

Kantata resource assignments carry User, Task, Role, hours allocated, and billing rate. Jira has no native role or billing rate field. We map the assigned User to Jira's standard Assignee field and encode the Role and billing rate as Jira custom fields (single-select for role, currency for rate). The hours allocated becomes a custom number field. If billing rate visibility is sensitive, we discuss field-level security configuration during scoping.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Time Entry

maps to

Jira

Worklog (via Tempo or native)

1:1
Fully supported

Kantata time entries carry date, user, hours (billable/non-billable), task reference, and notes. Jira natively supports Worklogs on Issues. We map the time entry date and hours to Jira Worklog entries linked by Issue key, with the original Kantata billable flag preserved as a custom Worklog field if Jira Premium is in use, or as a Jira Issue custom field if Standard tier.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Estimate / Scenario

maps to

Jira

Custom Field or Linked Document

1:1
Fully supported

Kantata Estimates model supply-and-demand scenarios using role-based resource composition and margin projections with versioned scenarios per workspace. Jira has no scenario modeling feature. We extract all active and historical estimate records as structured JSON and attach them as Jira Issue links or store them in a Confluence page linked from the Project, with the estimate values migrated as custom fields on the Issue for immediate visibility.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Custom Field

maps to

Jira

Custom Field

1:1
Fully supported

Kantata custom fields are organized by subject_type (Estimate, Story, User, Workspace, WorkspaceGroup, Resource). Custom Fields and Custom Field Values are separate API objects, each with independent rate limits. We apply subject_type-scoped pagination and queue-based rate management during extraction to avoid 429 errors. Destination Jira custom fields are created at the project level and mapped by field name and type (text, number, date, single-select, multi-select) with exact value matching for choice fields.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Billing / Invoice

maps to

Jira

Linked Attachment or Confluence Page

1:1
Fully supported

Kantata billing allows multiple invoices per project, tied to workspace and resource assignment records with billing rates, milestone triggers, and expense codes. Jira has no accounts receivable or invoicing module. We export the full invoice history as a structured data file and attach it to the Jira Project as a linked record, or store it in Confluence pages linked from the Project homepage. Line items that reference specific tasks are cross-referenced by task name in the attachment.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

WorkspaceGroup (Group)

maps to

Jira

Project Category or Jira Portfolio

lossy
Fully supported

Kantata WorkspaceGroups organize workspaces into portfolios or folders and carry their own custom fields. Group-level custom field values require a separate API call scoped to WorkspaceGroup. Jira equivalents are Jira Project Categories (for grouping related Projects) or Jira Portfolio for hierarchical portfolio views. We map the workspace group hierarchy to the chosen Jira grouping structure during schema design.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

External Reference

maps to

Jira

Issue Link

1:1
Fully supported

Kantata external references link workspace and task records to objects in external systems—for Kantata SX customers this includes Salesforce Opportunity and Account IDs. Jira Issue Links provide a native way to express cross-system relationships. We map Kantata external references to Jira Issue Links using the referenced system's identifier (e.g., Salesforce ID stored in a custom field with a link type such as 'References SF Opportunity').

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.

Kantata Professional Services Cloud (formerly Mavenlink + Kimble) logo

Kantata Professional Services Cloud (formerly Mavenlink + Kimble) gotchas

High

Dual-product data model: Kantata OX vs. SX schema divergence

Medium

Custom Field Values have independent API rate limits

Medium

Subtask WBS numbering breaks with deep nesting in the New Task Tracker

Medium

Billing invoice history requires financial object co-migration

Low

Customer Portal migration caused case status renaming in SX support system

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

  • Kantata Jira integration only supports Jira Software Classic, not NextGen

    Kantata's official M-Bridge Jira integration—documented in the Kantata Knowledge Base—only works with Jira Software Classic, not Jira NextGen (now called 'Simplified project experience' in cloud). If the destination Jira instance is running NextGen, the pre-built Kantata-to-Jira sync cannot be used, and manual migration work is required for any record linking. We confirm the Jira project type during discovery and design the migration path accordingly. Migrations to NextGen projects require a different issue type schema and lack some automation features available in Classic.

  • Financial data—invoices, billing rates, estimates—has no native Jira equivalent

    Kantata's billing module ties invoice line items, billing rates, milestone triggers, and expense codes to workspace and resource assignment records. Jira does not include any accounts receivable, billing, or invoicing capability. Estimates and scenarios (which model margin projections using role-based resource composition in Kantata) similarly have no Jira equivalent. We export financial records as structured data files and store them as Jira attachments or Confluence-linked documents. Billing rates and cost data that the customer wants visible on Jira Issues must be implemented as custom fields, which we document in the migration report.

  • Kantata OX and SX use different object names for equivalent concepts

    Kantata runs two distinct product lines with divergent schemas. Kantata OX uses Workspace, Story, and Resource; Kantata SX uses Opportunity, Milestone, and Practices with Salesforce-native object names. Migrating from either—or from a mixed environment—requires a schema-mapping layer that identifies which product line each workspace belongs to before extraction begins. We identify the product_type during discovery, route extraction through the correct field map, and apply the appropriate Jira project configuration for each source workspace type.

  • Custom Field Values have independent API rate limits separate from Custom Fields

    Kantata's Custom Fields and Custom Field Values are separate API objects, each with their own documented rate limits in the Kantata Knowledge Base. Heavy use of custom fields on Tasks, Projects, or Estimates causes export throttling if reads are not paced per subject_type. We apply subject_type-scoped pagination and queue-based rate management to avoid 429 errors. Migrations with more than 500 custom field definitions may require multiple extraction passes scheduled across rate-limit reset windows.

  • Jira API access must be explicitly enabled by a Jira administrator

    The Jira REST API does not allow remote connections by default; a Jira administrator must enable API access in General Settings before any migration write operations can proceed. If the Jira instance has API access disabled, all bulk write operations fail silently or return 403 errors. We verify API access is enabled during the discovery phase and escalate to the customer's Jira admin if it is not before any data movement begins.

Migration approach

Six steps for a successful Kantata Professional Services Cloud (formerly Mavenlink + Kimble) to Jira data migration

  1. Discovery and Kantata product line identification

    We audit the source Kantata environment across all workspaces, tasks, subtasks, users, resource assignments, time entries, custom fields (with subject_type), and billing records. We identify whether each workspace belongs to Kantata OX or Kantata SX by querying the workspace's internal product_type identifier. We extract a full record count per object type, note any deeply nested subtask hierarchies (where WBS numbering may be affected), and inventory any active billing rules or financial configurations that require special handling. The discovery output is a written migration scope with record counts and a Kantata-to-Jira schema map for each identified product line.

  2. Jira project schema design

    We design the destination Jira project structure: project key, issue type scheme (Epic, Story, Task, Bug, Subtask), workflow, custom fields (mapped from Kantata custom fields), and any project-level security settings. If the customer uses Jira Premium or Standard, we configure Worklog fields for time entry migration. We also design the custom fields for resource assignment data (role, billing rate, allocated hours) and any financial data the customer wants visible on Issues. Jira API access is verified at this stage. The Jira schema is deployed to a staging environment first.

  3. Sandbox migration and reconciliation

    We run a full migration into the Jira staging environment using production-like data volumes. The customer's project manager and Jira administrator reconcile record counts (Projects in, Issues in, Subtasks in, Worklogs in), spot-check 25-50 random issues against the Kantata source for field accuracy and hierarchy correctness, and verify that custom field values populated correctly. Any mapping corrections, missing field types, or Jira configuration gaps are resolved in staging before production migration begins.

  4. User reconciliation and Jira provisioning

    We extract every distinct Kantata user referenced on resource assignments, time entries, and task assignments and match by email against the Jira destination instance. Any Kantata user without a matching Jira account goes to a reconciliation queue. The customer's Jira admin provisions missing users (active or inactive depending on whether the original Kantata user is still active). Migration cannot proceed past this step because Jira Assignee and Worklog Author fields require valid Jira user references.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Projects are created first, followed by Epic-level Issues, then Story and Task-level Issues, then Subtasks. Worklogs attach to Issues after the Issue parent record is confirmed to exist. Custom fields for resource assignment data (role, billing rate) are written alongside their parent Issue records. Financial data—invoices, estimates, billing rates not encoded in custom fields—exports as a structured JSON file and is delivered as a Jira-attached file or Confluence-linked document with cross-references by project and task name.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Kantata writes during cutover, run a delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver the migration report including record counts, any records that could not be migrated (with reason codes), and the automation inventory document listing every Kantata workflow, billing rule, and resource trigger that requires a Jira Automation or Forge app rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild Kantata automations as Jira Automation inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

Kantata Professional Services Cloud (formerly Mavenlink + Kimble) logo

Kantata Professional Services Cloud (formerly Mavenlink + Kimble)

Source

Strengths

  • Integrated PSA covering scoping, resourcing, billing, and business intelligence across the entire project lifecycle.
  • Role-based scenario modeling for resource composition and margin forecasting before project kickoff.
  • Dual product lines serve both Salesforce-centric and open-API infrastructure preferences.
  • Team Builder feature surfaces resource trade-offs and staffing alternatives across the portfolio.
  • Strong G2 market presence with over 1,500 verified reviews and consistent category leadership awards.

Weaknesses

  • Task management rigidity and limited advanced project tracking features relative to modern PM tools.
  • Steep onboarding and configuration complexity for non-technical administrators and project managers.
  • Opaque pricing model with enterprise-only sales preventing small teams from self-serve evaluation.
  • Split between Kantata OX and SX creates confusion and technical divergence rather than a unified product experience.
  • Resource scheduling UI lags behind competitors in responsiveness and ease of use according to user reviews.
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 Kantata Professional Services Cloud (formerly Mavenlink + Kimble) 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

    Kantata Professional Services Cloud (formerly Mavenlink + Kimble): Documented in Kantata Knowledge Base; separate limits apply to Custom Field Values endpoint versus standard object endpoints.

  • Data volume sensitivity

    B

    Kantata Professional Services Cloud (formerly Mavenlink + Kimble) doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Kantata Professional Services Cloud (formerly Mavenlink + Kimble) 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 Kantata Professional Services Cloud (formerly Mavenlink + Kimble) to Jira data migrations

Answers to the questions buyers ask most during Kantata Professional Services Cloud (formerly Mavenlink + Kimble) to Jira migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for environments under 5,000 tasks and 50 workspaces with no financial object export. Migrations with deep subtask nesting, large time entry histories (over 50,000 worklog records), resource assignment data to preserve as custom fields, or multiple Kantata OX and SX workspaces move to eight to fourteen weeks because of schema mapping, Jira project configuration, and the financial data export scope. Jira Software Classic versus NextGen project type also affects configuration time.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Kantata Professional Services Cloud (formerly Mavenlink + Kimble).
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