CRM migration

Migrate from Atomic CRM to Salesforce Sales Cloud

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

Atomic CRM logo

Atomic CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

54%

7 of 13

objects map 1:1 between Atomic CRM and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Atomic CRM to Salesforce is a migration from a developer-maintained Postgres template to an enterprise SaaS platform with a typed schema, per-user licensing, and a structured Bulk API. Because Atomic CRM has no hosted SaaS layer, every migration starts at the Supabase Postgres database — we read the actual column set rather than relying on application documentation to capture all custom fields added through Supabase Studio. Deal categories and Task types are not stored in the database; they are passed as TypeScript props to the CRM root component in App.tsx. We ask customers to share that file during scoping so we can replicate the enum values in Salesforce Picklist fields. We migrate Notes using a polymorphic relationship query to resolve parent references, and we use the Salesforce Bulk API 2.0 with chunking and exponential backoff for all standard object writes. Workflows, automations, and any custom business logic encoded in Atomic CRM's TypeScript source do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Salesforce Flow.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Atomic CRM objects map to Salesforce Sales Cloud

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

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

Atomic CRM

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Atomic CRM Contact records (name, email, phone, company association, custom fields) map to Salesforce Contact. The Supabase UUID primary key is held as a reference string in a custom field atomic_crm_id__c on the destination Contact for audit traceability. We query Contacts first during migration to resolve the AccountId lookup before any dependent import begins.

Atomic CRM

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Atomic CRM Company records map to Salesforce Account. The company domain becomes the Account Website field and serves as the dedupe key during import. We create Account records before Contact import so the AccountId foreign key is satisfied at the moment of Contact insert. Any custom columns discovered on the Supabase companies table migrate as Account custom fields.

Atomic CRM

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Atomic CRM Deal records map to Salesforce Opportunity. The Deal value, stage category (eCommerce, SaaS, Consulting, etc.), and custom fields migrate directly. The App.tsx Deal category prop values become Salesforce Opportunity StageName picklist entries that we pre-configure in Setup before migration. Closed-Won and Closed-Lost dates migrate to CloseDate and a custom Loss_Reason__c field.

Atomic CRM

Deal Stage

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Each distinct Deal category value found in App.tsx becomes a Salesforce Opportunity StageName picklist value. We configure stage probabilities based on the original Atomic CRM deal stage distribution. If the customer has modified the stage enum in App.tsx post-deployment, we capture those values during scoping and replicate them as picklist entries rather than allowing Salesforce's default stage set to overwrite the existing data model.

Atomic CRM

Note

maps to

Salesforce Sales Cloud

Note / ContentDocumentLink

1:many
Fully supported

Atomic CRM Notes use a polymorphic Supabase relationship (referencing either Contact or Deal as parent). We resolve the polymorphic foreign key by querying the actual Supabase table structure, identify the parent type per note, and map Notes linked to Contacts to Salesforce Note with a Contact WhoId; Notes linked to Deals map to ContentDocumentLink on the Opportunity. The note body migrates as rich text. This polymorphic resolution step is unique to Atomic CRM and requires a schema-level inspection before any note records are written.

Atomic CRM

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Atomic CRM Tasks map to Salesforce Task. The Task type classification (Call, Email, Meeting, and any custom types from App.tsx) migrates as TaskType or TaskSubtype. Status, Priority, ActivityDate, and assignee (via Supabase Auth UUID-to-Salesforce User email lookup) transfer directly. Tasks are imported after Owner reconciliation so that OwnerId references are valid at insert time.

Atomic CRM

Custom Fields (table columns)

maps to

Salesforce Sales Cloud

Custom Fields

lossy
Fully supported

Custom fields in Atomic CRM are Postgres columns added via Supabase Studio — not UI-configured properties. During scoping we run a pg_catalog column query against every table to capture every column, type, nullable status, and default value. We then map each to an equivalent Salesforce custom field (custom__c API name) with the matching field type (text, number, date, checkbox, picklist). Custom field audit happens before schema design, not after, to prevent silent data loss.

Atomic CRM

User / Owner

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Atomic CRM User records are Supabase Auth users. We resolve owners by email match against the Salesforce destination org's User table. Owner assignment on Deals and Tasks references Supabase Auth UUIDs, which have no meaning in Salesforce. We map by email so that the correct Salesforce User record is assigned to each migrated Opportunity and Task. Owners without a matching Salesforce User are held in a reconciliation queue for the customer's admin to provision before record import resumes.

Atomic CRM

Tag (custom multi-checkbox property)

maps to

Salesforce Sales Cloud

Multi-Select Picklist

lossy
Fully supported

If the Atomic CRM instance uses tag-style multi-checkbox properties on Contacts or Deals, these map to Salesforce multi-select picklist fields on the Contact or Opportunity object. We capture the distinct tag values from the Supabase column values at migration time and pre-populate the picklist entries before import. Tags with more than 150 distinct values are evaluated for conversion to Salesforce Topics instead.

Atomic CRM

Attachment (Supabase Storage)

maps to

Salesforce Sales Cloud

ContentDocument / ContentVersion

1:1
Fully supported

Atomic CRM stores attachment metadata in Supabase but the actual binary files live in Supabase Storage buckets. We check whether file attachments are present during scoping. If they are, we export the bucket contents (images, PDFs, documents) and map them to Salesforce ContentVersion records, linked to the parent Contact or Opportunity via ContentDocumentLink. Files stored outside Supabase (e.g. on a custom S3 bucket) require separate coordination outside the standard migration scope.

Atomic CRM

Supabase RLS Policy

maps to

Salesforce Sales Cloud

Field-Level Security

lossy
Fully supported

Supabase Row Level Security policies on the source tables can block bulk reads during extraction. We audit RLS policies during scoping and request that the customer grants the migration service account SELECT permission on all tables before extraction begins. Without this step, bulk SELECT queries return empty result sets for some record subsets.

Atomic CRM

App.tsx Configuration

maps to

Salesforce Sales Cloud

Picklist Values / Field Defaults

lossy
Fully supported

Deal category enums and Task type enums are passed as TypeScript props to the CRM root component in App.tsx, not stored in the database. We ask customers to share their App.tsx (or equivalent configuration file) during discovery so we capture every enum value used in the instance. These values become Salesforce picklist entries on Opportunity.Stage and Task.Type. Without this file, we cannot enumerate the full set of stage and task type values and some records will land with empty or mismatched picklist fields.

Atomic CRM

Custom Postgres Tables

maps to

Salesforce Sales Cloud

Custom Objects

1:1
Mapping required

If the customer added custom tables beyond the five core entities (Contacts, Companies, Deals, Notes, Tasks), those map to Salesforce custom objects with __c API names. We pre-create the destination schema via the Salesforce Metadata API including custom fields, lookup relationships, and validation rules before importing any data. Custom tables with foreign key dependencies on core tables are imported after the core migration phase to satisfy the lookup constraints.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Custom fields are Postgres columns, not application properties

    Atomic CRM has no in-app custom field UI. Every custom field is a column added to a Supabase Postgres table via Supabase Studio. We must inspect the actual Postgres schema using pg_catalog queries to discover every column on every table. A customer who added custom fields post-deployment without schema documentation will silently lose those fields if we rely on the base application export alone. We run a pre-migration schema diff against a reference snapshot so that no column is missed.

  • App.tsx enum values for Deal categories and Task types are not in the database

    Pipeline stages and task type classifications are TypeScript props passed to the CRM root component in App.tsx, not stored in any database table. We cannot read them during database extraction. We ask customers to share their App.tsx configuration file during discovery so we capture every enum value that should become a Salesforce picklist entry. Migrations that skip this step result in Deals and Tasks with empty StageName or TaskType fields because Salesforce rejects unknown picklist values during import.

  • Supabase RLS policies can block bulk read operations

    Atomic CRM instances on Supabase typically have Row Level Security policies enabled. These policies can silently filter out records during bulk SELECT queries if the migration service account lacks the correct RLS bypass role. We audit RLS policies during scoping, request SELECT permission on all relevant tables, and run a row-count verification query before beginning extraction. Without this step, bulk reads return incomplete record sets.

  • File attachments in Supabase Storage require separate export coordination

    If the Atomic CRM instance uses Supabase Storage for file attachments, those files live in a storage bucket rather than in the Postgres tables. We check whether attachments are present during scoping. If they are, we export the bucket contents separately and map them to Salesforce ContentVersion records. Files stored outside Supabase (e.g. on a custom S3 bucket or local disk) are outside standard scope and require separate coordination with the customer.

  • Salesforce validation rules and field-level security can reject valid records

    Salesforce orgs commonly enforce required field constraints, conditional picklist whitelists, and field-level security that the migrating user must explicitly bypass during bulk import. We coordinate with the customer's Salesforce admin to grant the migration user profile Modify All Data and Bulk API permissions, and we either temporarily disable blocking validation rules or add a migration-context bypass condition. Skipping this step results in 10-30 percent record rejection on the first import batch.

Migration approach

Six steps for a successful Atomic CRM to Salesforce Sales Cloud data migration

  1. Discovery and Postgres schema audit

    We request Supabase project credentials and run a pg_catalog column query against every table (contacts, companies, deals, tasks, notes, and any custom tables) to capture the complete column set. We ask for the App.tsx (or equivalent) configuration file to capture Deal category and Task type enum values that live as TypeScript props. We check for RLS policies, Supabase Storage bucket configuration, and any custom tables beyond the five core entities. The discovery output is a written migration scope including the full column-to-field mapping, enum value list, and storage attachment inventory.

  2. App.tsx enum capture and Salesforce picklist pre-configuration

    We extract every Deal category value and Task type value from the shared App.tsx configuration. We pre-configure Salesforce Opportunity StageName picklist values and Task.TaskType values in the destination org via Setup before any data import begins, so that incoming records do not fail picklist validation on import.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox (Full Copy or Developer Pro) using production-equivalent data volume. The customer reconciles record counts across all objects, spot-checks 25-50 random records against the Supabase source, and reviews custom field coverage. Schema corrections, picklist value additions, and mapping adjustments happen in Sandbox before production migration begins.

  4. Owner reconciliation and User provisioning

    We extract every distinct Supabase Auth UUID referenced as an owner on Deals and Tasks and match by email against the Salesforce destination org's User table. Owners without a matching Salesforce User go to a reconciliation queue. The customer's admin provisions any missing Users. OwnerId references are validated before migration of Opportunities and Tasks resumes.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Companies), Contacts (with AccountId resolved), Opportunities (with Stage from App.tsx enum, OwnerId from User reconciliation, and RecordTypeId resolved), Tasks (after Owner resolution), Notes (with polymorphic parent resolved to Contact or Opportunity), custom objects (last, because they may have cross-lookups to standard objects), and file attachments from Supabase Storage (mapped to ContentVersion and ContentDocumentLink). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, delta sync, and handoff

    We freeze Supabase writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver a written inventory of App.tsx-based enum values and any custom TypeScript configuration that requires translation to Salesforce picklist fields or workflow conditions. We support a one-week hypercare window for reconciliation issues. Workflows, automations, and custom business logic encoded in the TypeScript source do not migrate; that inventory is handed to the customer's admin for Salesforce Flow rebuild.

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
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

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 Salesforce Sales Cloud.

  • 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

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Migrations under 10,000 Contacts, 2,000 Deals, and no custom tables complete in four to six weeks. Migrations with multiple custom Postgres columns, a separate Supabase Storage attachment export, or custom tables with cross-lookups move to eight to fourteen weeks because of schema discovery work, App.tsx enum capture, and file export coordination. The Salesforce subscription cost ($80-$330 per user per month) sits outside the migration timeline and begins when the customer activates their Salesforce org.

Adjacent paths

Related migrations to explore

Ready when you are

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