CRM migration

Migrate from Atomic CRM to Pipedrive

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

Atomic CRM logo

Atomic CRM

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

60%

6 of 10

objects map 1:1 between Atomic CRM and Pipedrive.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Atomic CRM is a self-hosted, MIT-licensed CRM built on Supabase with no commercial SLA, no admin UI for configuration, and no native export tooling. Migrating to Pipedrive requires a database-level extraction from the underlying Postgres instance, a schema audit to capture custom fields added through Supabase Studio, and an App.tsx code review to extract deal categories and task types that live as TypeScript enums rather than database values. We handle all three of these discovery steps, configure the corresponding Pipedrive pipelines and activity types before any data moves, and load records through the Pipedrive REST API with rate-limit handling and batch chunking. Pipedrive's 100 requests per second API limit governs the import pacing for Deals and Activities. We do not migrate Workflows, email sequences, or automations as these are not supported in Atomic CRM in the way Pipedrive models them, and we do not migrate binary attachment storage unless the customer provides explicit Supabase Storage bucket access.

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

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 Atomic CRM objects map to Pipedrive

Each row shows how a Atomic 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.

Atomic CRM

Contact

maps to

Pipedrive

Person (Lead or Contact)

1:many
Fully supported

Atomic CRM Contacts map to Pipedrive Person records. We determine whether each Contact should be created as a Lead or a Person based on deal association: Contacts linked to at least one Deal in Atomic CRM become Pipedrive Persons attached to an Organization; Contacts with no deal history and no company association become Pipedrive Leads. We preserve the original email address as the primary key for deduplication.

Atomic CRM

Company

maps to

Pipedrive

Organization

1:1
Fully supported

Atomic CRM Company records map directly to Pipedrive Organization. The company sector, website, and phone fields map to Pipedrive's standard fields. Organization is created before any Person import so that the Org ID is resolved at Person insert time. Multi-address support in Pipedrive accommodates any company addresses stored in Atomic CRM custom columns.

Atomic CRM

Deal

maps to

Pipedrive

Deal

1:1
Fully supported

Atomic CRM Deals map to Pipedrive Deals. The deal category (e.g. eCommerce, SaaS, Consulting) maps to a Pipedrive Pipeline that we configure before migration using the category values extracted from App.tsx. Deal value, stage, expected close date, and custom fields migrate directly. We resolve the linked Organization ID at migration time using the company name match against the destination Organizations table.

Atomic CRM

Deal Stage

maps to

Pipedrive

Pipeline Stage

lossy
Fully supported

Each deal category defined in App.tsx becomes a Pipedrive Pipeline. The stage labels and probability percentages (e.g. Qualified, Proposal Sent, Won, Lost) migrate as Pipeline stages with corresponding probability values. We extract the exact enum values from App.tsx and create matching Pipedrive stages in the same order so that deal progress reporting is preserved without rework.

Atomic CRM

Note

maps to

Pipedrive

Note

1:1
Fully supported

Atomic CRM Notes link to either a Contact or a Deal via a polymorphic or foreign-key relationship. We migrate Notes as Pipedrive Notes attached to the corresponding Person or Deal using the resolved destination record IDs. Note timestamps are preserved as the Note's pinned timestamp in Pipedrive.

Atomic CRM

Task

maps to

Pipedrive

Activity

1:1
Fully supported

Atomic CRM Tasks map to Pipedrive Activities. The task type (Call, Email, Meeting) is extracted from App.tsx as a TypeScript enum and recreated as Pipedrive Activity types from the Growth tier or as standard types on Lite. Task status (pending, completed) maps to Pipedrive done flag. Assignee is resolved by matching the Supabase Auth UUID to the Pipedrive User ID via email lookup.

Atomic CRM

Custom Fields (table columns)

maps to

Pipedrive

Custom Fields

lossy
Mapping required

Any column added to the Contacts, Companies, or Deals tables in Supabase Studio (beyond the standard schema) becomes a Pipedrive custom field. We inspect the Postgres information_schema.columns output to enumerate every column, infer the Postgres data type (varchar, integer, boolean, timestamp, etc.), and map it to the corresponding Pipedrive field type (string, int, set, date). The customer approves the field mapping before any data is written to Pipedrive.

Atomic CRM

Supabase Auth User

maps to

Pipedrive

User

1:1
Fully supported

Atomic CRM owner assignment on Deals and Tasks references Supabase Auth UUIDs. We extract all distinct owner UUIDs from the database, match them to Pipedrive Users by email address (the standard Supabase Auth identifier), and hold any unresolved owners in a reconciliation queue. The customer provisions Pipedrive User seats for any missing accounts before record import resumes.

Atomic CRM

Supabase Storage (Attachments)

maps to

Pipedrive

File Attachments

lossy
Fully supported

Atomic CRM attachments stored in Supabase Storage buckets are not migratable through a native export API. If the customer provides bucket credentials and explicit write access to the destination, we export the bucket contents as binary files and attach them to the corresponding Pipedrive Deal or Person records. Files stored outside Supabase (e.g. a custom S3 configuration) require separate coordination and are outside standard scope.

Atomic CRM

Tag

maps to

Pipedrive

Label

1:1
Fully supported

If Atomic CRM stores tag data as a text array or related table in Postgres, we migrate tags as Pipedrive Labels attached to the corresponding Person, Organization, or Deal. Label creation is idempotent — duplicate label names are deduplicated on the destination before assignment.

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

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

  • Deal categories and task types are TypeScript enums, not database records

    Atomic CRM defines deal categories (e.g. eCommerce, SaaS, Consulting) and task types (Call, Email, Meeting) as props passed to the CRM root component in App.tsx. These values do not exist as rows in any Postgres table, so a database-only audit misses them entirely. We request the customer's App.tsx or equivalent configuration file during scoping and extract the enum values to configure matching Pipedrive Pipelines and Activity types before any data loads. Skipping this step produces Deals with no Pipeline assignment and Activities with no type.

  • Custom fields require Postgres schema inspection, not app-level audit

    Atomic CRM has no UI for managing custom fields. All custom columns are added directly to Postgres tables via Supabase Studio. We inspect information_schema.columns and pg_catalog.pg_attribute to enumerate every column on the contacts, companies, and deals tables, including columns added after initial deployment that may not appear in the customer's documentation. We run a schema diff against a reference export so that no column is silently dropped during migration.

  • Supabase RLS policies can block bulk writes during import

    Supabase Row Level Security policies control read and write access at the table and row level. If RLS is enabled on the source tables, our migration read queries require a valid Supabase service role key or an authenticated session with sufficient privileges. We confirm RLS status during scoping and coordinate the appropriate access credentials. Destination-side RLS on Pipedrive is managed through API tokens with no row-level restrictions.

  • File attachments in Supabase Storage require explicit bucket export

    Atomic CRM attachment metadata may live in Postgres but the actual files live in Supabase Storage buckets or a separate S3 bucket. There is no single export command that pulls both the database records and the binary files together. We check for attachment presence during scoping and request Supabase Storage configuration if files exist. Any files in a custom S3 bucket outside Supabase Storage require separate access coordination and are not part of standard scope.

  • Pipedrive API rate limit governs import pacing for large datasets

    Pipedrive's API enforces rate limits at approximately 100 requests per second. For migrations involving thousands of Deals and Activity records, we implement request throttling with exponential backoff on 429 responses. Chunking Deals into batches of 50 and Activities into batches of 100 maintains throughput while staying within rate limits. Large engagement histories may require an additional one to two weeks of import time compared to smaller datasets.

Migration approach

Six steps for a successful Atomic CRM to Pipedrive data migration

  1. Supabase schema discovery and credentials confirmation

    We connect to the customer's Supabase project using a service role key and run a full schema audit against information_schema.columns and pg_catalog.pg_attribute for the contacts, companies, deals, notes, and tasks tables. We confirm RLS policy status and request the service role key if RLS is enabled. We also request the App.tsx configuration file to extract TypeScript enum values for deal categories and task types that will become Pipedrive Pipelines and Activity types.

  2. Custom field enumeration and type mapping

    We enumerate every Postgres column beyond the standard Atomic CRM schema, infer each column's Postgres data type, and map it to the corresponding Pipedrive field type. The customer reviews and approves the custom field mapping document before any data is written. We flag any columns with UUID, JSONB, or ARRAY types that require special handling or transformation.

  3. Pipedrive sandbox configuration

    We create a Pipedrive trial or sandbox account and configure Pipelines, Stages, Activity types, and custom fields matching the extracted App.tsx enums and the enumerated Postgres custom columns. The customer validates the Pipedrive configuration (pipeline order, stage labels, field names) and approves before production migration begins.

  4. Owner and user reconciliation

    We extract all distinct Supabase Auth UUIDs assigned as owners on Deals and Tasks, map them to Pipedrive User records by email address, and identify any owners without a corresponding Pipedrive User account. The customer provisions Pipedrive User seats for missing accounts. Migration cannot proceed past this step because all imported records require a valid OwnerId on Pipedrive.

  5. Production migration in dependency order

    We run the production migration in record-dependency order: Organizations (from Companies), Persons and Leads (with OrgId resolved), Deals (with Pipeline, Stage, and OrgId resolved), Notes (attached to Person or Deal), Activities (with OwnerId resolved and rate-limited to Pipedrive's 100 req/sec), and finally custom field values on each object. Each phase emits a row-count reconciliation report before the next phase begins.

  6. File attachment export and attachment

    If the customer has provided Supabase Storage credentials and confirmed that attachment files exist, we export the bucket contents and attach them to the corresponding Pipedrive records using the file attachment API. This step runs in parallel with the final migration phase or as a post-migration add-on depending on file volume.

  7. Cutover, validation, and handoff

    We freeze writes to the source Atomic CRM instance during the cutover window, run a final delta migration of any records modified during the migration period, and validate record counts and field completeness against the scoping report. We deliver a written inventory of Pipedrive Pipelines, Activity types, and custom fields as configured, with the App.tsx enum mapping documented for reference. We do not rebuild automations or workflows as none exist in Atomic CRM in the Pipedrive sense.

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
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 Atomic 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

    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 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 Atomic CRM to Pipedrive data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 10,000 Contacts and 2,000 Deals with no custom fields added beyond the standard schema. Migrations with multiple custom columns on each table, enum extraction from App.tsx, Supabase Storage file exports, or multi-pipeline Pipedrive configuration move to six to ten weeks. The App.tsx enum extraction and Pipedrive pipeline configuration are the critical path items that teams frequently underestimate.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Atomic CRM.
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