CRM migration
Field-level mapping, validation, and rollback between Fat Free CRM and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Fat Free CRM
Source
Zoho CRM
Destination
Compatibility
8 of 10
objects map 1:1 between Fat Free CRM and Zoho CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Fat Free CRM to Zoho CRM is an extraction-first migration. Fat Free CRM exposes no REST API, so we connect read-only to its underlying MySQL, PostgreSQL, or SQLite database, discover the full schema including any plugin-extended columns, and then map the relational structure into Zoho CRM's standard module objects. We preserve link-table relationships (contact-account, opportunity-contact, campaign membership) and carry forward tag memberships as Zoho Tags or Multi-Select Picklist fields depending on usage volume. Custom fields defined in the Rails schema map to Zoho Custom Fields, and we run a pre-import schema comparison to surface any plugin columns that must be added to Zoho before migration begins. Zoho Workflows, Blueprints, and reports do not migrate as code; we deliver a written inventory for your admin to rebuild post-migration. File attachments stored on the source server's filesystem are enumerated and documented for manual copy to Zoho's file storage post-migration.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Fat Free CRM object lands in Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Fat Free CRM
Accounts
Zoho CRM
Accounts
1:1Fat Free CRM Accounts map directly to Zoho CRM Accounts. We extract name, website, phone, billing address, and assigned user from the accounts table and map them to the corresponding Zoho standard fields. The accounts.contacts join table is used to establish the Contact-Account relationship during Contact import so that each Contact receives the correct AccountId lookup.
Fat Free CRM
Contacts
Zoho CRM
Contacts
1:1Fat Free CRM Contacts map to Zoho CRM Contacts. Fields include Salutation, First Name, Last Name, Email, Phone, Title, and the Contact's assigned user/owner. We resolve the contact_accounts lookup to attach each Contact to the corresponding Zoho Account during import. The contacts.opportunities join table is preserved separately for Opportunity mapping.
Fat Free CRM
Leads
Zoho CRM
Leads
1:1Fat Free CRM Leads are a distinct pre-conversion object and map directly to Zoho CRM Leads. Fields include status, source, rating, and assigned user. The taggings table associates tag records with leads; we map these to Zoho Lead Tags or a Multi-Select Picklist field depending on tag cardinality. Lead status values from Fat Free CRM are mapped to Zoho Lead Status picklist values during import.
Fat Free CRM
Opportunities
Zoho CRM
Deals
1:1Fat Free CRM Opportunities map to Zoho CRM Deals. Stage, Amount, Probability, Expected Close Date, and assigned user migrate directly. The opportunities_contacts join table (or equivalent) is resolved to attach the relevant Zoho Contact to each Deal via the Contact Name lookup. Closed-Won and Closed-Lost reason fields from Fat Free CRM map to Zoho custom fields if present in the source schema.
Fat Free CRM
Tasks
Zoho CRM
Tasks
1:1Fat Free CRM Tasks map to Zoho CRM Tasks. Title, Description, Due Date, Category, and completion status migrate. Open and completed tasks are imported. Task assignment is resolved by matching the source user_id to the provisioned Zoho user in the Owner reconciliation phase. Tasks linked to a specific Contact or Opportunity receive the corresponding Zoho WhatId lookup.
Fat Free CRM
Campaigns
Zoho CRM
Campaigns
1:1Fat Free CRM Campaigns track name, status, budget, and target metrics. We import campaign records and rebuild contact-campaign associations using the taggings and subscriptions tables. The campaign membership links are reconstructed in Zoho as Campaign Member records linked to the corresponding Contact or Lead. If the customer has a high-volume campaign structure, we may suggest Zoho's Campaigns module with manual member rebuild rather than automated import.
Fat Free CRM
Tags
Zoho CRM
Tags (Multi-Select Picklist)
lossyFat Free CRM uses a global tagging system (acts_as_taggable) stored in the taggings and tags tables. We extract the full tag set per record (Contacts, Accounts, Opportunities, Leads) and map tags with fewer than 50 distinct values to Zoho Multi-Select Picklist fields on each module. Tags with high cardinality are mapped to Zoho module-level Tags for cleanliness. The customer selects the strategy during scoping.
Fat Free CRM
Users
Zoho CRM
Users
1:1Fat Free CRM Users (admin, user roles, and team membership) are exported as a reference roster with internal IDs, names, and email addresses. Because Zoho will have its own user directory, we cannot automatically reassign record ownership without destination write credentials. We deliver the user roster as a reference table and the customer provisions Zoho users and maps source user IDs to destination Owner IDs before record import resumes.
Fat Free CRM
Groups
Zoho CRM
Territories or Teams
lossyFat Free CRM Groups are organisational units used for access control and data sharing. This concept does not map to a first-class Zoho CRM object. We map group membership to Zoho Territories (Enterprise and above) or note it as a manual configuration step for the customer's admin to implement post-migration using Zoho's sharing rules and roles.
Fat Free CRM
Custom Fields
Zoho CRM
Custom Fields
1:1Fat Free CRM custom fields on Accounts, Contacts, Leads, and Opportunities are stored in the source schema (either as additional columns on core tables or in a custom_fields extension table depending on the installation). We extract field definitions and values during schema discovery, then pre-create the corresponding custom fields in Zoho CRM before migration begins. Field type mapping requires judgment: text fields map to Single-Line, serialized JSON-like values map to Multi-Line, and date fields map to Zoho Date.
| Fat Free CRM | Zoho CRM | Compatibility | |
|---|---|---|---|
| Accounts | Accounts1:1 | Fully supported | |
| Contacts | Contacts1:1 | Fully supported | |
| Leads | Leads1:1 | Fully supported | |
| Opportunities | Deals1:1 | Fully supported | |
| Tasks | Tasks1:1 | Fully supported | |
| Campaigns | Campaigns1:1 | Mapping required | |
| Tags | Tags (Multi-Select Picklist)lossy | Mapping required | |
| Users | Users1:1 | Mapping required | |
| Groups | Territories or Teamslossy | Mapping required | |
| Custom Fields | Custom Fields1:1 | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Fat Free CRM gotchas
No public REST API forces direct database extraction
Plugin-extended schema may alter core tables
Attachment files live on the host filesystem
Users and groups must be manually remapped in the destination
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Database connectivity and schema discovery
We establish a read-only database connection to the Fat Free CRM MySQL, PostgreSQL, or SQLite instance using credentials the customer provides. We run a schema discovery query against information_schema (or equivalent for SQLite) to enumerate all columns across the core tables (accounts, contacts, leads, opportunities, tasks, campaigns) and any plugin-created tables. We also query the taggings, tags, contact_accounts, and opportunities_contacts join tables to map all relationships. The discovery output is a written schema map that the customer reviews and approves before extraction begins.
Custom field and user roster extraction
We extract custom field definitions from the source schema and map them to Zoho field types during this phase. We also export the full user roster (id, name, email, role, group membership) and the group roster as reference tables. The customer reviews these and provisions the corresponding Zoho users during the Zoho setup window while we prepare the extraction scripts. Any custom field not yet created in Zoho is flagged for the customer to create before import.
Record extraction and transformation
We export records from all core tables in dependency order: Accounts first, then Contacts (with AccountId resolved from the contact_accounts join), then Leads, then Opportunities (with AccountId and Contact Name resolved from the join tables), then Tasks, then Campaigns. Tags are extracted per record and held in a staging format pending the customer's tag-strategy decision. The extraction runs in batches of 1,000 records to avoid source database pressure.
Zoho CRM setup and custom field provisioning
We work with the customer to ensure all target custom fields are created in Zoho CRM before any data import. We create any missing Zoho custom fields using the Zoho CRM API, verify the field API names match our transformation output, and confirm module-level layouts are configured. User provisioning in Zoho is confirmed by matching the exported user roster against the Zoho user list by email. Owner reconciliation is complete when every source user has a corresponding Zoho user ID.
Production import into Zoho CRM
We import records into Zoho CRM in dependency order using the Zoho REST API with batch chunking and rate-limit handling (500 requests per minute per org). Accounts import first. Contacts import second with AccountId resolved from the Account import. Leads import third. Opportunities (Deals) import fourth with AccountId and Contact Name lookups resolved. Tasks import fifth with WhatId lookups resolved to the appropriate parent record. Tags are applied post-import using either Multi-Select Picklist writes or Zoho Tags API calls depending on the chosen strategy. Each phase emits a row-count reconciliation report.
Cutover, validation, and attachment handoff
We freeze writes to the source system during cutover and run a final delta migration of any records created or modified during the migration window. We validate record counts and spot-check a sample of records against the source. We deliver the attachment inventory file so the customer can manually copy attachments to Zoho CRM's Documents module. We deliver the Workflow and Blueprint inventory (items to rebuild in Zoho) and the Automation rebuild reference document. We do not rebuild automations or configure Zoho Blueprint as standard scope.
Platform deep dives
Fat Free CRM
Source
Strengths
Weaknesses
Zoho CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Fat Free CRM and Zoho CRM.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Fat Free CRM: Not applicable — self-hosted database has no API rate limiting.
Data volume sensitivity
Fat Free CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
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FAQ
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