Helpdesk migration

Migrate from Track-It! to Freshdesk

Field-level mapping, validation, and rollback between Track-It! and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.

Track-It! logo

Track-It!

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

78%

7 of 9

objects map 1:1 between Track-It! and Freshdesk.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Track-It! to Freshdesk means leaving a SQL Server-backed on-premises ITSM system for a cloud-native help desk with a documented REST API. Track-It! has no public API — we extract directly from the SQL Server schema (HDTickets, Assets, ConfigItems, ChangeRequests) using read-only database access or a restored .bak backup. We pre-inventory every custom field column appended to each module table so that destination custom fields are created with the correct data types before any records move. Freshdesk's API rate limits (200-700 calls per minute depending on plan tier) govern the write cadence, and per-endpoint sub-limits on the Tickets List endpoint require pagination with updated_since windowing for large ticket volumes. BCM (Business Configuration Management) linkage records, which Track-It! uses to relate assets to tracked items, do not have an equivalent in Freshdesk — we enumerate every BCM-linked relation during discovery and surface it as a known gap at sign-off. Workflows, SLA-based escalations, and per-group view permissions do not migrate as code; we deliver a written map of every active workflow and SLA rule for the customer to rebuild in Freshdesk's automation engine.

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

Track-It! logo

Track-It!

What's pushing teams away

  • Performance degrades noticeably as the SQL Server database grows over time without aggressive archiving or index maintenance.
  • The interface is functional but dated compared to modern SaaS helpdesk tools, creating friction for end users submitting tickets.
  • Track-It! is no longer BMC's primary ITSM investment — Helix ITSM is the strategic product, leaving Track-It! in maintenance mode with uncertain long-term roadmap.
  • Limited third-party integrations due to the absence of a documented public REST API, making automation and external tooling difficult to build.
  • Migrating away requires working directly with SQL Server backups or BMC's proprietary migration utility — there is no simple CSV export for all modules.

Choosing

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Track-It! objects map to Freshdesk

Each row shows how a Track-It! object lands in Freshdesk, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Track-It!

HDTickets (Tickets)

maps to

Freshdesk

Tickets

1:1
Fully supported

Track-It! ticket headers, descriptions, resolutions, priority levels, and status values map directly to Freshdesk ticket fields. We extract from HDTickets and HDTicketHistory for full audit trail, which migrates as conversation notes in Freshdesk. Freshdesk's Status field (Open, Pending, Resolved, Closed) maps from Track-It!'s status枚举; resolution date maps to Freshdesk's closed_at timestamp.

Track-It!

Assets

maps to

Freshdesk

Assets

1:1
Fully supported

Track-It! Assets stored in the Assets table with ConfigItems and AssetRelations migrate to Freshdesk Assets. The asset name, serial number, purchase date, and assigned user map to Freshdesk's corresponding fields. Track-It!'s CI classification hierarchy (if used) maps to Freshdesk's asset type and product_id.

Track-It!

Users and Technicians

maps to

Freshdesk

Agents

1:1
Fully supported

HDUsers and HDGroups define technician profiles and group assignments in Track-It!. We extract owner assignments on tickets and resolve them by email against Freshdesk agents. Group memberships map to Freshdesk Teams. If a Track-It! technician does not have a corresponding Freshdesk agent account, we create them as inactive agents during migration and flag for the admin to activate.

Track-It!

ChangeRequests

maps to

Freshdesk

Custom Fields or Problem Records

1:1
Fully supported

Track-It! ChangeRequests contain lifecycle stages, approval routing, risk assessment fields, and linked CIs. Freshdesk does not have a native change management object in the standard help desk tier. We map ChangeRequests to Freshdesk ticket records with custom fields capturing the CR number, risk level, and approval status. If the customer uses Freshservice (the ITSM tier), ChangeRequests map to Freshservice Change records.

Track-It!

Knowledge Base Articles

maps to

Freshdesk

Knowledge Base

1:1
Mapping required

Track-It! KB articles stored in the dedicated module table migrate to Freshdesk Knowledge Base with article body, category assignments, and tag relations. We have seen Freshdesk's native import tool duplicate KB articles in prior migrations — we validate article counts post-migration and deduplicate if needed. Category hierarchy from Track-It! maps to Freshdesk folder structure.

Track-It!

Attachments

maps to

Freshdesk

Attachments

1:1
Mapping required

Track-It! attachments stored as BLOBs in the database or as file-store references are extracted to a file package and associated with the parent ticket or asset record in Freshdesk via the Freshdesk Attachments API. Freshdesk plan-level file size limits (10-50 MB depending on tier) apply. We batch attachment uploads and handle the parent ticket ID resolution during the write phase.

Track-It!

Custom Fields

maps to

Freshdesk

Custom Fields

lossy
Mapping required

Every Track-It! installation has unique custom fields appended as columns to module tables. We run a full schema inventory query across all module tables during discovery to capture every custom column name and inferred data type. These map to Freshdesk custom ticket fields (text, dropdown, date, checkbox, number) created before migration. Picklist values from Track-It! dropdowns map to Freshdesk dropdown options.

Track-It!

SLAs

maps to

Freshdesk

SLA Policies

lossy
Mapping required

SLA definitions and timer configurations stored in Track-It!'s system-configuration tables extract as SLA policy rules. We map SLA-to-priority mappings so that Freshdesk SLA policies can be configured with equivalent response and resolution time windows. Freshdesk's SLA policies attach to tickets via ticket type or priority, which we configure during migration setup.

Track-It!

BCM Asset Relations

maps to

Freshdesk

None

1:1
Not supported

Business Configuration Management (BCM) linkage records that relate assets to tracked items and maintain CI relationship graphs have no equivalent in Freshdesk. These linkage records are BMC-specific and do not survive migration to a non-BMC destination. We run a pre-migration query to enumerate every BCM-linked record, surface the full list to the customer, and document the relationships for manual recreation in Freshdesk or acceptance as a known gap.

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.

Track-It! logo

Track-It! gotchas

High

No public API for programmatic export

High

BCM relations do not migrate between unlike systems

Medium

Custom field schema is installation-specific

Medium

Test migration excludes BCM and asset relations

Low

Database performance impacts migration timing

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Track-It! has no public API — direct SQL extraction required

    Track-It! lacks a publicly documented REST or SOAP API. All data access requires direct SQL Server queries against the production database or a restored .bak backup file. We coordinate with the customer's DBA to grant read-only access to the relevant tables during a maintenance window. This access model extends discovery timelines because we must inventory the schema before writing any mapping rules, unlike API-based migrations where field discovery is programmatic.

  • BCM relations and CI linkage records do not migrate

    Track-It!'s BCM module maintains complex asset-to-tracked-item relationships that have no equivalent data model in Freshdesk. We enumerate all BCM-linked records during discovery and surface them to the customer before migration. The customer either manually recreates those relationships in Freshdesk or accepts them as a permanent gap. This is a BMC-specific limitation that affects any migration away from Track-It!, not a Freshdesk-specific issue.

  • Freshdesk per-endpoint rate limits throttle bulk imports

    Freshdesk enforces per-minute rate limits that vary by plan tier (Growth: 200/min, Pro: 400/min, Enterprise: 700/min) with per-endpoint sub-limits. The Tickets List endpoint is capped at 20-100 calls/min depending on plan, which limits how fast we can paginate large ticket histories. We use updated_since windowing to avoid deep pagination beyond page 500, which Freshdesk explicitly warns degrades response times. For large databases, this extends migration timelines.

  • Freshdesk Knowledge Base import can duplicate articles

    Community reports and migration service documentation confirm that Freshdesk's native import tool has duplicated knowledge base articles in prior migrations. We validate article counts against the source after migration and deduplicate if the target count exceeds the source count. We recommend creating Freshdesk KB categories and article structures before migration to reduce the risk of structural misalignment.

  • Closed and resolved ticket dates require custom field mapping

    Freshdesk's standard import does not preserve closed_at or resolved_at timestamps in a way that maps cleanly from Track-It!'s ticket lifecycle dates. We map Track-It!'s resolved date to Freshdesk's updated_at field and recommend creating a custom date field (e.g., original_resolved_date) for accurate SLA reporting and historical resolution time analysis. This requires the customer to create the custom field in Freshdesk before migration begins.

Migration approach

Six steps for a successful Track-It! to Freshdesk data migration

  1. Discovery and SQL schema inventory

    We work with the customer's DBA to obtain read-only access to the Track-It! SQL Server instance (or a restored .bak backup). We run a full schema inventory query across HDTickets, Assets, ConfigItems, ChangeRequests, HDUsers, HDGroups, and the KB module table to capture every base column and extended custom column. We also enumerate BCM-linked asset relations and audit the SLA configuration tables. The discovery output is a written schema manifest with column names, inferred data types, and record counts per module.

  2. Freshdesk plan and custom field pre-creation

    Based on discovery record counts, we recommend a Freshdesk plan tier (Growth, Pro, or Enterprise) that supports the required API rate limits and storage. Before any migration begins, the customer creates the destination custom fields in Freshdesk admin to match the installation-specific Track-It! schema. We provide the exact field names, types, and picklist values from the schema inventory so the admin can create them in advance, avoiding field-not-found errors during the migration run.

  3. Agent and group provisioning

    We extract all distinct technicians and groups from HDUsers and HDGroups. Each Track-It! technician maps to a Freshdesk agent by email. Group memberships map to Freshdesk Teams. We reconcile agent provisioning status (active vs inactive) with the customer before migration — inactive Track-It! technicians become inactive Freshdesk agents to preserve ticket ownership history without generating notifications to departed staff.

  4. Database extraction and transform

    We extract records from the SQL Server database in dependency order: agents first (for owner resolution), then assets and configuration items, then tickets with full audit history, then knowledge base articles, then attachments as a file package. BLOB attachments are extracted to disk and batched for Freshdesk API upload after parent ticket IDs are established. BCM-linked relations are extracted as a separate enumeration dataset for the customer to review.

  5. Sandbox migration and reconciliation

    For migrations exceeding 5,000 tickets, we run a sandbox migration first to validate field mapping accuracy, article deduplication behavior, and attachment association integrity. The customer reconciles a random sample of 25-50 records against the source before we proceed to production migration. Any mapping corrections happen in the sandbox, not in production.

  6. Production migration and cutover

    We run production migration in record-dependency order: agents, assets, tickets (with full audit history as conversation notes), knowledge base, and attachments. BCM relations are delivered as a separate enumerated CSV for manual rebuild. We freeze Track-It! writes during cutover, run a delta sync of any records modified during the migration window, then enable Freshdesk as the system of record. We deliver a written workflow and SLA map for the customer to rebuild in Freshdesk's automation engine.

Platform deep dives

Context on both ends of the pair

Track-It! logo

Track-It!

Source

Strengths

  • Mature SQL Server-backed schema with full referential integrity across tickets, assets, and change requests.
  • Per-group view definitions allow fine-grained data segmentation without additional configuration.
  • Integrated asset management and CI tracking within the same database as the helpdesk.
  • Strong audit trail stored as separate history tables per module — we extract the complete change log.
  • Built-in migration utility with test-migration and log-file output that we use to validate record counts before cutover.

Weaknesses

  • No documented public REST API — all data access is direct SQL or BMC's proprietary tooling.
  • Performance degrades with large data volumes unless proactive database maintenance is performed.
  • On-premises deployment model conflicts with teams seeking cloud-native or SaaS helpdesk platforms.
  • Limited third-party ecosystem and integration options compared to modern ITSM platforms.
  • Interface and UX lag behind current SaaS alternatives, creating adoption friction for end users.
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 2 of 7 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 Track-It! and Freshdesk.

  • Object compatibility

    B

    2 of 7 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

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

  • API constraints

    B

    Track-It!: Not applicable — no public API.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Track-It! to Freshdesk 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 Track-It! to Freshdesk data migrations

Answers to the questions buyers ask most during Track-It! to Freshdesk migration scoping. Not seeing yours? Book a call.

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Small migrations under 15,000 tickets and 5,000 assets with straightforward custom field mappings complete in two to three weeks. Larger migrations with hundreds of thousands of tickets, multi-year audit history, extensive BLOB attachments, or BCM relation enumeration extend to four to eight weeks. The SQL schema inventory phase typically adds three to five days to the discovery timeline compared to API-based migrations because we must manually enumerate the schema before writing mapping rules.

Adjacent paths

Related migrations to explore

Ready when you are

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