CRM migration

Migrate from Fat Free CRM to Pipedrive

Field-level mapping, validation, and rollback between Fat Free CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.

Fat Free CRM logo

Fat Free CRM

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

58%

7 of 12

objects map 1:1 between Fat Free CRM and Pipedrive.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Fat Free CRM to Pipedrive replaces a self-hosted open-source platform with no API with a modern SaaS CRM whose REST API handles all downstream inserts cleanly. The structural challenge is that Fat Free CRM has no REST or GraphQL endpoint, so all extraction happens through direct database queries against its relational schema. We run a schema discovery phase against the live database, capture any plugin-extended columns, preserve link-table relationships (opportunity_contacts, contact_accounts, taggables), and resolve Organization IDs for every Contact before Deal association. Pipedrive's per-seat pricing (starting at 14 euros per user per month on the Lite plan) replaces the zero licensing cost of Fat Free CRM, but removes the operational burden of server maintenance, security patching, and self-managed Rails upgrades. We do not migrate workflows, automations, campaign logic, or attachment binaries; we deliver a written inventory of each so your admin rebuilds them in Pipedrive's automation builder post-migration.

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

Fat Free CRM logo

Fat Free CRM

What's pushing teams away

  • The user interface feels dated compared to modern SaaS CRMs, and G2 reviewers consistently rate the UX as needing significant improvement.
  • Community development has slowed — Bitrix24's comparison page explicitly notes it is unclear whether Fat Free CRM is still actively maintained, raising long-term support concerns.
  • No native public API means third-party integrations require direct database access or custom Rails code, complicating connections to email, calendars, or other tools.
  • Lacks the reporting depth, automation builder, and sales intelligence features that teams outgrow as they scale beyond basic contact and opportunity tracking.
  • Hosting, maintenance, security patching, and upgrades fall entirely on the customer, creating hidden operational overhead that grows over time.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Fat Free CRM objects map to Pipedrive

Each row shows how a Fat Free CRM object lands in Pipedrive, 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

Account

maps to

Pipedrive

Organization

1:1
Fully supported

Fat Free CRM accounts (name, website, phone, billing address, assigned user) map directly to Pipedrive Organizations. The account name becomes the Organization name and serves as the dedupe key during import. We resolve the assigned user against the Pipedrive user roster by email. Organizations are inserted before People to satisfy the Organization-People lookup that Pipedrive enforces when linking People to Organizations.

Fat Free CRM

Contact

maps to

Pipedrive

Person

1:1
Fully supported

Fat Free CRM contacts (name, email, phone, title, link to Account) map to Pipedrive People. The contact_accounts join table resolves which Organization each Person belongs to; we set the org_id field on the Person record during insert. The contact's assigned user maps by email to a Pipedrive User. If a Contact has no associated Account in the source, we import it as an unlinked Person — orphaned from an Organization perspective but not dropped.

Fat Free CRM

Lead

maps to

Pipedrive

Lead

1:1
Fully supported

Fat Free CRM Leads (with status, source, rating, assigned user) map to Pipedrive Leads. Pipedrive's Lead object is distinct from its Person object and supports a separate Lead status field. We preserve the Fat Free CRM lead status as the Pipedrive Lead status value, the source as a custom field, and the rating as a custom field or label. Leads do not automatically convert to People during migration; the customer's sales team reviews and converts them manually post-migration.

Fat Free CRM

Opportunity

maps to

Pipedrive

Deal

1:1
Fully supported

Fat Free CRM Opportunities (stage, amount, probability, close date, link to Contact) map to Pipedrive Deals. The opportunity stage maps to a Pipedrive pipeline stage that we configure before migration. Pipedrive requires a Deal to link to a Person, an Organization, or both; we use the opportunity's linked Contact to resolve the Person reference, then derive the Organization ID from the Contact-Account relationship. If no Contact is linked to the Opportunity, the Deal is inserted as an unlinked Deal pending manual association.

Fat Free CRM

Pipeline stage

maps to

Pipedrive

Pipeline stage

lossy
Fully supported

Fat Free CRM's single pipeline stages map to a Pipedrive pipeline we create during migration. Each stage name and probability percentage from the source become a Pipedrive stage entry. If the customer uses multiple deal pipelines via a custom plugin, we create multiple Pipedrive pipelines with corresponding stage sets. Stage order and probability values are preserved as configured.

Fat Free CRM

Task

maps to

Pipedrive

Activity (type: task)

1:1
Fully supported

Fat Free CRM Tasks (title, body, due date, category, completion status, assigned user) map to Pipedrive Activities with type = task. Due dates and assignees migrate; open tasks insert with status open and completed tasks with status completed. The activity date is set to the original task due date or completion date. Tasks linked to Opportunities or Contacts in Fat Free CRM carry their parent reference in the Pipedrive Activity's related_object and related_object_id fields.

Fat Free CRM

Note

maps to

Pipedrive

Activity (type: note)

1:1
Fully supported

Fat Free CRM notes attached to Contacts, Accounts, or Opportunities map to Pipedrive Activities with type = note. The note body migrates as the activity subject or body field. Parent record associations (contact_id, account_id, opportunity_id) map to Pipedrive's related_object and related_object_id structure. Notes without a parent record are inserted as standalone notes.

Fat Free CRM

Campaign

maps to

Pipedrive

Custom Fields or Labels

lossy
Fully supported

Fat Free CRM Campaigns (name, status, budget, target metrics) have no direct Pipedrive equivalent. We import Campaign records as a custom field set on the Contact or as a Label in Pipedrive, depending on whether the customer needs to query by campaign membership. Campaign-contact associations (from the subscriptions or tag tables) migrate as Labels on the linked Person. The campaign metrics (budget, target) are stored in a migration reference table for the admin to review.

Fat Free CRM

User

maps to

Pipedrive

User (lookup)

1:1
Fully supported

Fat Free CRM internal user IDs have no meaning in Pipedrive. We export the full user roster (id, email, first_name, last_name, role) as a reference table. Pipedrive user accounts are created by the customer in advance of migration. We resolve each Fat Free CRM owner_id by matching the user email to the provisioned Pipedrive user and store the Pipedrive user_id for use as the owner reference on all migrated records.

Fat Free CRM

Group

maps to

Pipedrive

Team (visibility group)

lossy
Fully supported

Fat Free CRM Groups function as organisational access-control units. Pipedrive's visibility groups (Restricted, Shared, Entire company) serve a similar purpose at a simpler level. We map group membership to Pipedrive Teams, which control record visibility per user. If a group structure is complex (nested groups, partial overlaps), we document the mapping and the customer configures Pipedrive visibility groups post-migration.

Fat Free CRM

Custom Fields

maps to

Pipedrive

Custom Fields

lossy
Mapping required

Fat Free CRM custom fields on Accounts, Contacts, Leads, and Opportunities may exist as serialized columns or plugin-added schema columns. We extract all custom field definitions and values during schema discovery. In Pipedrive, custom fields are key-value pairs created via the API (field type, label, key). We create matching Pipedrive custom fields before migration, then map values by matching the field key. Custom field keys in Pipedrive are alphanumeric hashes assigned at creation time; we preserve the original Fat Free CRM field name in the Pipedrive field label for discoverability.

Fat Free CRM

Tag

maps to

Pipedrive

Label

lossy
Fully supported

Fat Free CRM uses a global tagging system (acts_as_taggable) applied across Contacts, Accounts, Opportunities, and Leads. Pipedrive Labels serve a similar tagging function. We extract the full tag set per record from the taggings and tags tables, then apply labels to the corresponding Pipedrive Person, Organization, or Deal. Label names are preserved exactly. If a tag is used across multiple object types in the source, we apply the same label in Pipedrive to each record regardless of type.

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.

Fat Free CRM logo

Fat Free CRM gotchas

High

No public REST API forces direct database extraction

Medium

Plugin-extended schema may alter core tables

Medium

Attachment files live on the host filesystem

Low

Users and groups must be manually remapped in the destination

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • No API forces direct database extraction

    Fat Free CRM exposes no documented public API. All extraction routes through a direct database connection (MySQL, PostgreSQL, or SQLite) using credentials the customer provides in read-only mode. We run a schema discovery phase against the live database to enumerate all tables and columns, including any plugin-extended schema additions. The customer must be comfortable granting read-only database access and providing connection details (host, port, database name, credentials). If the database is behind a firewall, a secure tunnel or temporary port exposure is required during the migration window.

  • Orphaned deals without parent organization links

    Pipedrive Deals require a link to a Person, an Organization, or both. Fat Free CRM's opportunity_contacts join table allows an Opportunity to be linked to a Contact without requiring that Contact to also be linked to an Account. If an Opportunity is associated only with a Contact that has no Account, importing it as a Deal in Pipedrive creates an orphaned Deal with no org_id. We resolve this by linking the Deal to the Person (which Pipedrive permits) and flagging Deals without an Organization for manual review post-migration. The alternative — requiring every Opportunity to have an Account — may reduce the imported record count.

  • Plugin-extended schema may alter core table columns

    Fat Free CRM's plugin system can add columns to core tables (accounts, contacts, opportunities) or create entirely new tables that the base schema does not anticipate. If a custom plugin adds a column to store a field that has no Pipedrive equivalent, we capture it as a custom field. Columns that represent plugin logic (computed fields, foreign key references to plugin-specific tables) may not be migratable as clean data and are flagged in the schema discovery report. The customer must enumerate all active plugins before extraction begins so we can include or exclude plugin-specific tables from the migration scope.

  • Attachment binaries cannot be extracted through database connection

    Uploaded files in Fat Free CRM are stored on the host server's filesystem or a configured S3 bucket, not inside the database. Our database connection can enumerate attachment records (filename, path, associated record ID) but cannot extract binary content reliably. We deliver a complete file inventory listing every attachment reference, its source path, and the parent record it belongs to. The customer copies files to Pipedrive's file storage layer manually post-migration, using the inventory as a checklist.

  • Campaign logic and automation do not migrate

    Fat Free CRM campaign membership logic, tag-based segmentation rules, and any custom-built automation or webhook triggers have no equivalent in Pipedrive's data model. We export the campaign-contact subscription records as a label-based migration so that campaign membership is preserved as Labels on the relevant Person records. Any logic that determined campaign enrollment (dynamic rules, tag-based auto-assignment) is documented as a written note for the customer's admin to rebuild in Pipedrive's automation builder or using the API.

Migration approach

Six steps for a successful Fat Free CRM to Pipedrive data migration

  1. Database connection and schema discovery

    We connect read-only to the Fat Free CRM database (MySQL, PostgreSQL, or SQLite) using customer-provided credentials. We run a full schema discovery query across all tables including any plugin-extended tables. We enumerate the object inventory (accounts, contacts, leads, opportunities, tasks, campaigns, tags, users, groups, custom fields) and capture column types, join relationships, and any serialized or JSON columns that store extended field data. The discovery output is a written migration specification reviewed by the customer before extraction begins.

  2. Pipedrive account provisioning and API setup

    The customer provisions a Pipedrive account and provides an API token. We create all required Pipedrive objects before migration: a Pipeline with stages matching the source deal stages and probabilities, custom fields (with their API keys returned from Pipedrive after creation) for any source custom fields and campaign metrics, and Teams mapped from the source group structure. We configure the pipeline in the Pipedrive dashboard or via API before any records are inserted.

  3. Data extraction from database

    We extract data from each source table in dependency order: accounts, contacts (with organization resolution), leads, opportunities (with contact and account resolution from join tables), tasks and notes (with parent record references), and tags (taggables and tags tables). We clean data during extraction: deduplicate records on email address for People, remove records with null required fields, and format dates to ISO 8601. The extraction outputs a set of staged JSON files per object, each including the Pipedrive-compatible field mapping.

  4. Data load via Pipedrive API

    We push records into Pipedrive in strict dependency order: Organizations first, then People (with org_id resolved), then Leads, then Deals (with person_id and org_id resolved), then Activities (tasks, notes, meetings, calls), and finally Labels applied to the relevant records. We use the Pipedrive REST API with rate-limit handling and exponential backoff. Each phase emits a reconciliation report showing rows inserted, updated, and skipped so the customer can spot-check before the next phase begins.

  5. Validation and reconciliation

    We run a reconciliation pass comparing Pipedrive record counts against the source database counts for each object type. We spot-check 20-30 records per object at random against the source database for field-level accuracy (name spelling, email, phone, deal amount, stage, assigned user). We verify that Deals are linked to their correct Person and Organization, and that Tags appear on the expected records. We deliver a written reconciliation report to the customer before cutover.

  6. Cutover and admin handoff

    We freeze write access to the Fat Free CRM database during cutover and run a final delta migration to capture any records created or modified since the initial extraction. We deliver a migration completion report, the attachment file inventory, the user and group roster mapping, and the Pipedrive API key for the customer to rotate post-migration. We do not rebuild Fat Free CRM workflows, automations, or campaign logic in Pipedrive; we deliver a written inventory of each with the recommended Pipedrive automation approach for the customer's admin to implement as a separate task.

Platform deep dives

Context on both ends of the pair

Fat Free CRM logo

Fat Free CRM

Source

Strengths

  • Zero licensing cost — fully open source under MIT license with no per-user or subscription fees.
  • Complete source code access allows deep customisation of data models, views, and business logic without vendor lock-in.
  • Lightweight Ruby on Rails stack runs on commodity hosting (VPS, Heroku) with standard relational databases.
  • Active community and plugin architecture provide extension points for webhooks, time tracking, and record merging.
  • Self-hosted model ensures full data ownership and no third-party data retention concerns.

Weaknesses

  • No native public API — integrations require direct database queries or custom Rails development, limiting third-party tool connectivity.
  • Dated user interface consistently cited in reviews as a friction point compared to modern SaaS CRM experiences.
  • Slowing development activity raises concerns about security patches, Rails compatibility updates, and long-term viability.
  • Operational burden of self-hosting (server management, backups, upgrades, security) falls entirely on the customer.
  • Limited reporting, automation, and sales intelligence features compared to commercial CRM platforms.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM 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 Fat Free CRM and Pipedrive.

  • 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

    Fat Free CRM: Not applicable — self-hosted database has no API rate limiting.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fat Free CRM to Pipedrive 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 Fat Free CRM to Pipedrive data migrations

Answers to the questions buyers ask most during Fat Free CRM to Pipedrive migration scoping. Not seeing yours? Book a call.

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No. We do not migrate automation logic as code. Fat Free CRM custom workflows, plugin-based automation, webhook triggers, and any scheduled tasks built within the Rails application have no direct equivalent in Pipedrive's data model. We deliver a written inventory of every active automation rule discovered in the source database with the trigger conditions, actions, and recommended Pipedrive automation builder equivalent. Your admin rebuilds them in Pipedrive's automation tool post-migration.

Adjacent paths

Related migrations to explore

Ready when you are

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