CRM migration

Migrate from Atomic CRM to Freshsales

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

Atomic CRM logo

Atomic CRM

Source

Freshsales

Destination

Freshsales logo

Compatibility

88%

7 of 8

objects map 1:1 between Atomic CRM and Freshsales.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Atomic CRM to Freshsales is a structural migration from a developer-maintained Postgres backend to a managed SaaS platform with a REST API. Atomic CRM stores all entities as Supabase tables with custom fields added as Postgres columns via Supabase Studio, meaning every migration requires a schema audit before we know the full field inventory. Pipeline stages and task types in Atomic CRM are defined as TypeScript props in the CRM root component rather than stored in the database, so we ask customers to share App.tsx or the equivalent to capture the enum values that must be replicated as pipeline stages and task categories in Freshsales. We read directly from the Supabase Postgres instance and write to Freshsales via its REST API with rate-limit handling. File attachments stored in Supabase Storage require separate coordination. Workflows, automations, and reporting dashboards are not migratable as code; we deliver a written inventory for the customer's admin to rebuild in Freshsales.

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

Atomic CRM logo

Atomic CRM

What's pushing teams away

  • Non-technical teams hit a dead end — Atomic CRM ships without a graphical UI for custom fields, user management, or pipeline configuration, requiring developer involvement for any change.
  • The platform lacks out-of-the-box automation, email sequences, and reporting dashboards that sales teams expect from mainstream CRMs, causing adoption to stall after initial setup.
  • Scaling beyond a few hundred active records surfaces the gap between a developer template and a production-grade SaaS — no SLA, no dedicated support, no built-in caching or performance tooling.
  • Teams that grow beyond one or two developers find the maintenance burden high — every upgrade to React, Supabase, or shadcn/ui risks breaking customizations without a test suite to catch regressions.
  • When a co-founder or the single developer maintaining the instance leaves, the CRM becomes orphaned code that nobody else on the team can safely modify or extend.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Atomic CRM objects map to Freshsales

Each row shows how a Atomic CRM object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Atomic CRM

Company

maps to

Freshsales

Account

1:1
Fully supported

Atomic CRM Company records map to Freshsales Account. The Supabase companies table has columns for name, website, address, and any custom fields added via Supabase Studio. We audit the Postgres schema during scoping to capture all columns before designing the Freshsales Account field mapping. Account is the parent record for Contact, so we migrate Accounts first to satisfy referential integrity on the Contact import.

Atomic CRM

Contact

maps to

Freshsales

Contact

1:1
Fully supported

Atomic CRM Contact records map to Freshsales Contact with first_name, last_name, email, phone, and any custom columns from the Supabase contacts table. The relationship to Company migrates by resolving the source contact.company_id foreign key to the destination Account ID created during the Accounts phase. Owner mapping resolves by email match between the Supabase auth UUID on contact and the Freshsales user email.

Atomic CRM

Deal

maps to

Freshsales

Deal

1:1
Fully supported

Atomic CRM Deal records map to Freshsales Deal. The deal value, stage, and expected close date transfer directly. Pipeline stage names in Atomic CRM are defined as TypeScript props in App.tsx rather than stored in the database, so we request the customer share their App.tsx configuration during scoping to capture the exact stage names and probabilities. These are replicated as Freshsales pipeline stages before Deal import. Deals are imported after Accounts and Contacts so that the AccountId and ContactId lookups are resolved.

Atomic CRM

Note

maps to

Freshsales

Note

1:1
Fully supported

Atomic CRM Notes migrate to Freshsales Notes linked to the parent record (Contact, Account, or Deal). We inspect the Supabase notes table for its content column, parent reference columns, and any polymorphic relationship structure the instance uses. Notes are migrated after the parent records exist in Freshsales to avoid orphaned entries. Rich-text formatting in notes transfers as-is if the destination field supports it.

Atomic CRM

Task

maps to

Freshsales

Task

1:1
Fully supported

Atomic CRM Task records migrate to Freshsales Task. Task type categories (Call, Email, Meeting) are defined as props in App.tsx, not stored in the database, so we extract the enum values from the source code during scoping and configure corresponding task categories in Freshsales before import. Task status, priority, due date, and owner email map directly from Supabase columns. Owner resolution uses the same email-based mapping used for Contact and Deal owners.

Atomic CRM

Custom Fields

maps to

Freshsales

Custom Fields

lossy
Mapping required

Custom fields in Atomic CRM are Postgres columns added via Supabase Studio. There is no UI for managing custom fields in Atomic CRM itself, so undocumented columns added post-deployment are a real risk. We run a pre-migration schema diff against a reference export to identify every custom column on the contacts, companies, deals, notes, and tasks tables. Each column is then configured as a corresponding custom field in Freshsales before data ingestion begins. Field type mapping from Postgres types (text, integer, boolean, timestamp, uuid) to Freshsales field types is documented in the scoping deliverable.

Atomic CRM

Owner / User

maps to

Freshsales

User

1:1
Fully supported

User management in Atomic CRM uses Supabase Auth, where owner references on Contacts, Deals, and Tasks store auth UUIDs rather than readable identifiers. We map owners by email match between the Supabase users table and Freshsales User records. Any Atomic CRM owner without a corresponding Freshsales user is flagged in the reconciliation report and held until the customer's admin provisions the missing user. Owner resolution must complete before Deal and Task import because Freshsales requires OwnerId on those objects.

Atomic CRM

Attachment (Supabase Storage)

maps to

Freshsales

Attachment

1:1
Fully supported

File attachments in Atomic CRM are stored in Supabase Storage buckets if the instance uses that storage backend, not in the Postgres tables. During scoping we check whether attachments exist and request the Supabase Storage bucket configuration. Files are exported from the bucket and uploaded to Freshsales as attachment records linked to the parent Contact, Account, or Deal. Files stored in custom S3 buckets or external storage require separate coordination and fall outside the standard migration scope.

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.

Atomic CRM logo

Atomic CRM gotchas

High

No hosted SaaS version — migration target is a Postgres database

High

Custom fields are schema changes, not UI-configured properties

Medium

CRM component props define business logic that lives in code, not data

Medium

No native file attachment export — storage backend varies by deployment

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Pipeline stages are in App.tsx, not the database

    Deal categories and pipeline stages in Atomic CRM are passed as props to the CRM root component in TypeScript source code, not stored in the Postgres database. This means we cannot discover stage names by querying the database. If we migrate Deals without first replicating the stage configuration, all deals land in Freshsales with an unmapped or default stage. We request the customer share their App.tsx or equivalent configuration file during scoping so we can capture the exact stage names, their display order, and probability values. These are configured as Freshsales pipeline stages before Deal records are imported.

  • Custom fields are invisible without a schema audit

    Custom fields in Atomic CRM are Postgres columns added via Supabase Studio, not a CRM-level configuration object. The application does not surface a list of active custom fields anywhere. During scoping, we run a direct Postgres schema inspection on every Atomic CRM table to enumerate all columns. Any custom column not documented by the customer and not captured in the schema audit is silently omitted from the migration. We produce a written schema delta report that lists every discovered column with its Postgres type, nullability, and the corresponding Freshsales field configuration.

  • No REST API — Supabase Postgres is the read layer

    Atomic CRM exposes no REST or GraphQL API of its own. All data lives in the Supabase Postgres instance, accessible via the Supabase client or direct database connection. We read from the Supabase Postgres layer directly using credentials the customer provides. Supabase Row Level Security (RLS) policies on each table can block bulk reads if the migration service account lacks the required RLS bypass permissions. We audit RLS policies during scoping and coordinate with the customer to ensure the migration service account has read access across all tables before export begins.

  • File attachments require a separate extraction step

    If the Atomic CRM instance uses Supabase Storage for file attachments, the files live in a storage bucket separate from the Postgres tables and require a different extraction mechanism. We check for the presence of attachments during scoping. If attachments exist, we export the storage bucket contents alongside the database records and map each file to its parent record in Freshsales. Attachments stored in non-Supabase storage (for example, a custom S3 bucket or local filesystem) require the customer to provide access credentials and are handled as a separate coordination item outside the core migration timeline.

  • Workflows and reporting dashboards do not migrate

    Atomic CRM has no built-in workflow automation or reporting dashboards, so there is no migration artifact for these features in either direction. Any custom reporting or automation the team built within Atomic CRM is either developer-coded outside the CRM or does not exist in the platform. We flag this clearly in the scoping report so the customer understands that Freshsales workflow automation and Freshsales analytics are new capabilities to be configured rather than migrated. We do not rebuild automations or reports as part of the migration scope.

Migration approach

Six steps for a successful Atomic CRM to Freshsales data migration

  1. Supabase schema audit and source credentials

    We request Supabase project credentials and a read-only service account for the migration. We run a Postgres schema inspection on all five base tables (contacts, companies, deals, notes, tasks) plus any related tables for attachments and users. This produces a written schema inventory listing every column, Postgres type, nullability, and default value. We compare this against the standard Atomic CRM schema to flag any custom columns added post-deployment. We also request App.tsx or the equivalent configuration file to capture pipeline stage names and task type enumerations defined as TypeScript props.

  2. Freshsales pipeline and field configuration

    We configure the Freshsales destination environment before any data ingestion. This includes creating the pipeline stages that correspond to the Atomic CRM stage names extracted from App.tsx, setting stage probabilities, and configuring custom fields to match every custom Postgres column discovered during the schema audit. Custom field types are mapped from Postgres types to Freshsales field types. We configure this in a Freshsales sandbox or trial environment first for validation, then replicate to the production account.

  3. Supabase data export in dependency order

    We export data from Supabase in record-dependency order: first companies (to create Accounts), then contacts (with the company_id foreign key resolved for AccountId assignment), then deals (with account_id and primary_contact_id resolved), then notes and tasks (with their parent references resolved to Freshsales record IDs). Owner resolution runs concurrently — we extract distinct owner UUIDs from all tables, match by email against the Supabase users table, and produce a UUID-to-email map for the Freshsales user lookup during import.

  4. Sandbox migration and reconciliation

    We run a full migration into a Freshsales trial or sandbox account using the extracted data volume. The customer's team spot-checks 20-40 records per object against the Supabase source for field-level accuracy, verifies that parent-child relationships are preserved, and confirms that the pipeline stage assignment matches expectations. We correct any field mapping errors before committing to the production migration. Owner reconciliation happens here — any Atomic CRM owner without a Freshsales user is listed for the customer's admin to provision.

  5. Production migration with ordered API ingestion

    We migrate to the production Freshsales account in dependency order: Accounts first, then Contacts, then Deals, then Notes and Tasks. Each phase emits a row-count reconciliation report comparing source record count to destination record count. We use Freshsales REST API with rate-limit handling and exponential backoff on 429 responses. File attachments from Supabase Storage are uploaded in parallel where the storage bucket configuration is available. We run a final delta pass to capture any records modified during the migration window before declaring cutover complete.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Supabase writes during cutover and run a final delta migration of records changed during the migration window. We enable Freshsales as the system of record and deliver a written automation and reporting inventory documenting what exists in Freshsales today and what needs to be rebuilt by the customer's admin. We support a five-business-day post-migration window to resolve data reconciliation issues raised by the sales team. We do not configure Freshsales workflow automation, sequences, or reporting dashboards as part of the migration scope; those are separate configuration tasks.

Platform deep dives

Context on both ends of the pair

Atomic CRM logo

Atomic CRM

Source

Strengths

  • MIT-licensed full source code with no vendor lock-in or per-seat fees
  • Built on Supabase — Postgres backend with real-time subscriptions, auth, and storage in one stack
  • Configurable via CRM component props and Supabase Studio without forking the codebase
  • Includes PWA support, TypeScript throughout, and shadcn/ui design system out of the box
  • Integrates with GitHub, Google Workspace, Auth0, and Azure Active Directory

Weaknesses

  • No graphical admin UI for custom fields, pipeline configuration, or user management — developer required for any change
  • No built-in email sequences, marketing automation, or out-of-the-box reporting dashboards
  • No SLA, no dedicated support tier, and no official hosted option — self-managed entirely
  • Small community and limited third-party integrations compared to mainstream CRMs
  • Requires ongoing developer maintenance to keep React and Supabase dependencies current
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 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 Atomic CRM and Freshsales.

  • Object compatibility

    B

    2 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

    Atomic CRM: Per Supabase rate limits applicable to your project tier.

  • Data volume sensitivity

    A

    Atomic CRM exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Atomic CRM to Freshsales 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 Atomic CRM to Freshsales data migrations

Answers to the questions buyers ask most during Atomic CRM to Freshsales migration scoping. Not seeing yours? Book a call.

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Small migrations with fewer than 5,000 contacts, 1,000 deals, and no custom Supabase columns typically complete in two to four weeks. Migrations with undocumented custom fields, multiple Supabase Storage buckets, or complex pipeline configurations requiring Freshsales pipeline setup from App.tsx-sourced stage names extend to five to eight weeks. Discovery and schema audit account for the first week regardless of size.

Adjacent paths

Related migrations to explore

Ready when you are

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