CRM migration

Migrate from Anthill CRM to Twenty CRM

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

Anthill CRM logo

Anthill CRM

Source

Twenty CRM

Destination

Twenty CRM logo

Compatibility

45%

5 of 11

objects map 1:1 between Anthill CRM and Twenty CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Anthill CRM and Twenty CRM take fundamentally different approaches to customer record structure. Anthill organises deal progression through Workflow stream states allocated to Sales, Admin, and Support teams; Twenty uses a standard opportunity pipeline with stages tied to a Company and Person data model. Migrating between them requires extracting every workflow's stage definitions and mapping them to Twenty's Opportunity stage field, and identifying the correct Person and Company records to associate with each Opportunity at import time. Anthill's undocumented API schema, absent bulk-export endpoint, and non-exportable dashboard configurations are the three technical constraints that shape this migration more than any other. We handle all three: we introspect the actual field inventory via API discovery, we use CSV export as a parallel read path alongside paginated API pulls, and we document dashboard layouts for manual rebuild in Twenty's query-builder-based reporting environment.

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

Anthill CRM logo

Anthill CRM

What's pushing teams away

  • Customers report that Anthill does not integrate natively with external systems like dealer management platforms, forcing teams to maintain separate tools and re-enter data manually.
  • Some reviewers note the dashboard UI could be more flexible and that additional filters would help surface insights without exporting to external tools for further processing.
  • A steep learning curve in certain workflow and customisation areas has been cited as a barrier for teams that need to onboard quickly, with users noting it takes longer than expected to configure advanced automations.
  • Multiple reviews mention glitches appearing during live operation that only surfaced after the testing phase, suggesting gaps in the pre-deployment validation environment for heavily customised configurations.

Choosing

Twenty CRM logo

Twenty CRM

What's pulling them in

  • Top open-source CRM on GitHub with 40.6K stars, giving teams full source code access and infrastructure ownership without per-feature licensing surprises.
  • Free self-hosting under AGPL-3.0 means unlimited users and custom objects for the cost of cloud infrastructure alone, typically $20–100/month.
  • Pricing page explicitly mocks competitors for charging add-on fees for API access, webhooks, and workflows — transparency that resonates with RevOps teams burned by Salesforce.
  • Unlimited custom objects and fields with no price impact, letting teams shape the data model to their business rather than forcing business into rigid schemas.
  • Modern TypeScript/React/PostgreSQL stack means developer-led teams can extend, self-host, or integrate without fighting legacy architecture.

Object mapping

How Anthill CRM objects map to Twenty CRM

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

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

Anthill CRM

Enquiry

maps to

Twenty CRM

Opportunity

1:1
Fully supported

Anthill Enquiries are the primary intake object and represent deals at various stages of the workflow stream. Each Enquiry maps to a Twenty Opportunity. We extract the current workflow stream state and map it to a Twenty Opportunity.stage value using a document we generate during scoping that maps each Anthill workflow state to its equivalent Twenty stage. The Enquiry's name becomes Opportunity.name, and we resolve the linked Customer to a Twenty Person and Company at migration time.

Anthill CRM

Customer

maps to

Twenty CRM

Person and Company

1:many
Fully supported

Anthill Customer records hold both contact and company data in a flat schema. We split these into Twenty's separate Company (the organisation) and Person (the individual) objects. The customer's business name and address fields map to Company; the contact's name, email, and phone map to Person. We preserve the original Anthill Customer ID in a custom field on both records for reconciliation and audit purposes.

Anthill CRM

Activity

maps to

Twenty CRM

Task and Event

1:1
Fully supported

Anthill Activities tied to Enquiries and Customers represent touchpoints across the customer journey. We map activity type (call, email, meeting, task) to the equivalent Twenty object: calls become Tasks with the call subtype, meetings become Events, and standalone tasks become Tasks. Activity timestamps and content are preserved. Anthill does not expose a bulk activity-history endpoint, so we paginate through the API and cross-validate against any CSV export available for the object.

Anthill CRM

Workflow

maps to

Twenty CRM

Pipeline Stage configuration

lossy
Fully supported

Anthill Workflows define the customer interaction process and allocate actions to teams. Because workflows are configuration-heavy and contain Anthill-specific state triggers and team assignments, we do not migrate them as executable objects. Instead we extract the stage definitions from every active workflow and generate a workflow-to-pipeline mapping document. This document maps each Anthill workflow state name to a Twenty Opportunity stage value with a description of the transition logic, which the customer uses to configure their pipeline in Twenty after migration.

Anthill CRM

Pipeline Stage

maps to

Twenty CRM

Opportunity Stage

lossy
Fully supported

Anthill represents deal progression through workflow stream states rather than column-based pipeline stages. We extract every distinct state name from the active workflow definitions, normalise them into a clean stage sequence, and map them to Twenty Opportunity stage values. The customer defines the stage names and probability percentages in Twenty during setup, informed by our mapping document. Closed-won and closed-lost states from Anthill become the terminal stages in Twenty's pipeline.

Anthill CRM

Custom Property

maps to

Twenty CRM

Custom Field

1:1
Fully supported

Anthill supports custom fields per object but does not publish a field reference catalogue. We pull the actual field inventory by introspecting the API responses during discovery, noting picklist values, data types, and object associations. Each discovered custom property is mapped to a Twenty custom field. Picklist values are cross-referenced against any matching Twenty field options. Fields with no destination match are flagged for the customer to decide whether to carry them forward as free-text fields or archive them.

Anthill CRM

Dashboard

maps to

Twenty CRM

Custom View (query builder)

lossy
Fully supported

Anthill dashboards are stored as internal configuration files in the platform's visualisation engine and are not exposed via SOAP or JSON API. We cannot export them automatically. We perform a dashboard audit during discovery: we document each live dashboard's layout, metric definitions, filter set, data source objects, and refresh behaviour from the running system. The customer receives a written specification for each dashboard to rebuild in Twenty using the query builder. Dashboard rebuild is a manual step performed by the customer post-migration and is outside the data-migration scope.

Anthill CRM

Automation

maps to

Twenty CRM

Workflow documentation

lossy
Fully supported

Anthill Automations trigger personalised notifications and email or SMS sequences based on workflow state transitions. Because automations are workflow-scoped and reference Anthill-specific contact property names, they cannot migrate as executable logic. We extract every active automation and document its trigger conditions, actions, and target audience. The customer receives an automation inventory with a description of each rule's purpose, which their Twenty admin uses to configure equivalent Workflow actions in Twenty post-migration.

Anthill CRM

User

maps to

Twenty CRM

User

1:1
Fully supported

Anthill Users are organised by team (Sales, Admin, Support) with ownership assigned to records. We map Users and their team associations to Twenty Users. Anthill does not expose a dedicated user-list endpoint, so we derive the user list from the owner fields on Enquiry, Customer, and Activity records. We match by email address. Any Anthill User without a corresponding Twenty User goes to a reconciliation queue for the customer's admin to provision before record import continues.

Anthill CRM

Workflow Team Assignment

maps to

Twenty CRM

Workspace and User Role

lossy
Fully supported

Anthill allocates workflow actions to Sales, Admin, and Support teams. These team assignments define which team members can act on a record at each workflow state. We extract the team structure from the workflow definitions and map it to Twenty's workspace and role model. The customer defines Twenty User Roles and workspace permissions during their Twenty setup, informed by our team-assignment mapping document. This is a configuration step rather than a data migration step.

Anthill CRM

Enquiry-Workflow association

maps to

Twenty CRM

Opportunity Custom Field

1:1
Fully supported

Each Anthill Enquiry is created through a workflow stream and carries the workflow identifier and current stream position. We preserve this context by storing the Anthill workflow name and stream state as custom fields on the migrated Twenty Opportunity. This allows the customer to audit the original workflow lineage and reconstruct team accountability in Twenty if needed.

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.

Anthill CRM logo

Anthill CRM gotchas

High

Dashboard configurations cannot be exported via API

High

Workflow-as-pipeline model requires structural remapping

Medium

No publicly documented API rate limits or bulk-export endpoint

Medium

Custom properties schema not publicly documented

Low

Glitches and steep learning curve in advanced customisation areas

Twenty CRM logo

Twenty CRM gotchas

High

Import order is enforced and critical

High

Export limited to 20,000 records and visible columns only

Medium

Soft-deleted records count toward uniqueness and trigger restores

Medium

API rate limits cap at 200 req/min on Organization tier

Low

No native email sequences — follow-up cadences require external tools

Pair-specific challenges

  • Anthill dashboards cannot be exported via API

    Anthill's live role-based dashboards are configuration files stored within the platform's internal visualisation engine and are not exposed through the SOAP or JSON APIs. There is no documented export endpoint, and no third-party tool can read the dashboard format. We perform a manual dashboard audit during discovery: we document every layout, metric, filter, and data source from the running system. The customer receives a written specification for each dashboard to rebuild manually in Twenty using the query builder. This rebuild is outside the data-migration scope and must be completed by the customer's team post-cutover.

  • Workflow-stream model requires explicit stage remapping

    Anthill represents deal progression through Workflow stream states allocated to teams, not a conventional column-based pipeline. When migrating to Twenty's opportunity pipeline, we must extract each workflow's stage definitions and map them to Twenty Opportunity stage values before any Opportunity records can be created. Without this step, migrated Opportunities arrive with no stage assignment and are effectively invisible in Twenty's pipeline view. We generate a workflow-to-pipeline mapping document during scoping and apply it as the first transformation before the Opportunity import run.

  • No documented API rate limits or bulk-export endpoint

    Anthill's API documentation does not publish rate limits, daily quotas, or burst allowances. The JSON API provides per-Enquiry endpoints but no batch-read or bulk operation. For migrations involving more than a few thousand records, we proceed conservatively with staggered API pulls and use CSV exports as a parallel read path where object schemas allow, validating API data against the export after the fact. Undocumented rate limits mean we cannot rely on retry-after headers, so we implement exponential backoff and cap at conservative request frequencies to avoid triggering any undocumented throttling.

  • Custom property schema requires API introspection

    Anthill supports custom fields per object but does not publish a field reference or schema catalogue. We cannot pre-build a field mapping without first pulling the actual field inventory via API discovery. Any custom fields found are individually mapped, with picklist values cross-referenced against the destination's options. Fields with no match in Twenty's schema are flagged for the customer to decide whether to carry them forward as free-text fields, create matching custom fields in Twenty first, or archive them. This discovery step adds time to the scoping phase and must complete before the migration transformation is written.

  • Team and ownership structure not independently exportable

    Anthill organises records by team (Sales, Admin, Support) and assigns owners to Enquiries and Customers. However, Anthill does not expose a dedicated user-list or team-list endpoint. We derive the user and team structure from owner fields on records during discovery, which means any user who has never been assigned as an owner on a record may not appear in the extracted user list. We cross-check by reviewing the team assignments inside workflow definitions. Any gaps in the user list require manual confirmation from the customer's Anthill admin before we finalise the Twenty User provisioning plan.

Migration approach

Six steps for a successful Anthill CRM to Twenty CRM data migration

  1. Discovery and API introspection

    We audit the source Anthill account via API discovery: we enumerate all objects accessible through the JSON API, pull the actual field inventory by inspecting API response schemas for Enquiries, Customers, Activities, Workflows, and any custom objects, and derive the user and team structure from owner fields and workflow assignments. We run a parallel CSV export for each object where Anthill's interface allows it and cross-validate the API inventory against the export to confirm completeness. We perform the manual dashboard audit during this phase, documenting every live dashboard's layout, metrics, and filters. The discovery output is a written migration scope including the object list, field inventory, workflow-to-pipeline mapping draft, dashboard audit log, and a risk register covering the API limitations.

  2. Schema design in Twenty

    We design the destination schema in Twenty before any data moves. This includes creating the Opportunity pipeline stages based on the workflow-to-pipeline mapping document, provisioning any custom fields required to receive Anthill custom properties (with data types matched to the Anthill field types discovered during API introspection), and configuring the Company and Person object structure to receive the split Customer records. We document the team and role mapping that the customer will implement in Twenty's workspace and role settings. All schema work is validated in Twenty before the production migration begins.

  3. Pilot migration to staging environment

    We run a full migration into a staging environment using production-like data volume. The customer's operations lead reconciles record counts against Anthill (Enquiries in, Opportunities in, Persons in, Companies in, Activities in), spot-checks 25-50 random records against the Anthill source for field-level accuracy, and validates that the workflow-stream to Opportunity stage mapping is producing the expected pipeline distribution. Any mapping corrections, custom field additions, or stage-label adjustments happen here before production migration begins.

  4. Owner and user reconciliation

    We extract every distinct user referenced as an owner on Enquiry, Customer, and Activity records from Anthill and match them by email against the Twenty destination's user list. Owners without a matching Twenty User go to a reconciliation queue. The customer's admin provisions any missing Users in Twenty and confirms their workspace and role assignments. Migration cannot proceed past this step because Opportunity and Person records require an OwnerId reference in Twenty.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Company records (from Anthill Customer business data), Person records (from Anthill Customer contact data), Users (validated against the reconciliation queue), Opportunities (with stage resolved from the workflow-stream mapping and OwnerId and CompanyId resolved from the preceding phases), Activities (Tasks and Events via paginated API pulls with cross-validation against CSV export), custom field values (written to the custom fields created during schema design), and workflow lineage context (stored as custom Opportunity fields). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, final delta, and dashboard handoff

    We freeze writes in Anthill during the cutover window, run a final delta migration of any records modified during the migration window, then enable Twenty as the system of record. We deliver the dashboard audit log, the workflow-to-pipeline mapping document, and the automation inventory to the customer's admin team with guidance on rebuilding each in Twenty. We support a one-week post-cutover window where we resolve any reconciliation issues raised by the customer's team. Dashboard rebuild, workflow rebuild, and automation rebuild in Twenty are manual steps performed by the customer and are outside the data-migration scope.

Platform deep dives

Context on both ends of the pair

Anthill CRM logo

Anthill CRM

Source

Strengths

  • Workflow-centric design maps naturally to businesses with complex, multi-team customer processes.
  • Unlimited storage, workflows, dashboards, and automations on all tiers removes record-count anxiety.
  • Dedicated CRM Success Manager and free onboarding on 11+ user deployments provides structured go-live support.
  • JSON and SOAP APIs provide programmatic access to Enquiries, Customers, and other core objects.
  • Integrates with Sage, Google Analytics, and WordPress, covering common SME stacks.

Weaknesses

  • Dashboard configurations are not exportable — they must be manually recreated in the destination.
  • No native integrations with some external systems (e.g. dealer management platforms), limiting data synchronisation options.
  • Public API documentation is thin; no published rate limits, bulk-export endpoints, or field reference guide.
  • The workflow-as-pipeline model requires careful remapping when migrating to column-based CRM platforms.
  • Review corpus is small (24 verified reviews) — limited third-party evidence for deep technical due diligence.
Twenty CRM logo

Twenty CRM

Destination

Strengths

  • AGPL-3.0 open-source license with full source code on GitHub — no vendor lock-in, no sunset risk.
  • Unlimited users and unlimited custom objects on self-hosted, with no feature gating based on headcount.
  • REST and GraphQL APIs available on all paid tiers, not locked behind an enterprise add-on fee.
  • MCP server and webhooks shipped as standard features, not premium upgrades.
  • Modern PostgreSQL-backed data model that developer teams can query, extend, and self-host.

Weaknesses

  • Recent v1.0 release means limited production hardening compared to CRMs with multi-year operational track records.
  • No native email sequencing or sales engagement tools — follow-up cadences require a separate platform.
  • No native two-way email sync or inbox integration, requiring third-party connectors for full activity logging.
  • Self-hosting 'free' pricing hides real infrastructure and DevOps costs that stack up over time.
  • Workflow automation is functional but lacks the complexity needed for sophisticated multi-step sales motions.

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 Anthill CRM and Twenty CRM.

  • 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

    Anthill CRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Anthill CRM to Twenty CRM 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 Anthill CRM to Twenty CRM data migrations

Answers to the questions buyers ask most during Anthill CRM to Twenty CRM 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 Enquiries and 2,000 Customers with straightforward workflow-to-pipeline mapping and no extensive custom field estate. Migrations with large engagement histories (over 200,000 activity records), numerous custom properties requiring API-introspection-based field discovery, or extensive dashboard configurations requiring full documentation move to seven to eleven weeks. The API discovery and schema design phase (weeks one and two) is the most variable element; large custom field sets and complex workflow definitions extend this phase significantly.

Adjacent paths

Related migrations to explore

Ready when you are

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