CRM migration

Migrate from Opera 3 to Freshsales

Field-level mapping, validation, and rollback between Opera 3 and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.

Opera 3 logo

Opera 3

Source

Freshsales

Destination

Freshsales logo

Compatibility

70%

7 of 10

objects map 1:1 between Opera 3 and Freshsales.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Pegasus Opera 3 to Freshsales is a structured extraction from a legacy on-premises ERP into a cloud-native CRM. Opera 3 stores CRM contacts, companies, and activities in tightly-coupled SQL Server or Visual FoxPro tables alongside accounting, payroll, and stock data; there is no public REST API, so extraction relies on built-in CSV exports for Sales Ledger and Purchase Ledger contacts, with RTI XML files handling payroll history. We sequence the export in dependency order—companies and contacts first, then deals and invoices, then activity notes—map Opera 3's account codes and cost-centre structures to Freshsales' Account and Contact objects, and load via the Freshsales REST API with batch chunking. The OPUS customer-product variant add-on, multi-company inter-company balances, and bespoke custom fields require manual field-by-field review and are flagged in the written inventory rather than auto-migrated. Workflows, automations, and report definitions from Opera 3 do not migrate as code; we document them for your admin team to rebuild in Freshsales' automation builder.

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

Opera 3 logo

Opera 3

What's pushing teams away

  • Customer service ratings are consistently below competitors (3.8/10 on Capterra), with users reporting slow response times and difficulty reaching knowledgeable support staff.
  • Steep learning curve for non-accountants, particularly around multi-company setups, inter-company transactions, and the report generator's customisation layer.
  • Frequent product updates and version migrations cause friction, especially for customers on the Visual FoxPro edition who face a mandatory upgrade path to SQL SE.
  • Limited ecosystem compared to global platforms — fewer third-party integrations, no marketplace, and bespoke API work required for modern data pipelines.
  • Modern SaaS alternatives like Xero and QuickBooks offer faster onboarding, automatic updates, and lower upfront cost, prompting smaller customers to migrate.

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 Opera 3 objects map to Freshsales

Each row shows how a Opera 3 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.

Opera 3

Sales Ledger Contact

maps to

Freshsales

Contact

1:1
Fully supported

Opera 3 Sales Ledger contact records export via CSV with fields for account code, company name, billing address, delivery address, payment terms, credit limit, and multi-currency settings. We map the Opera 3 account code to Freshsales Contact phone/email fields and create the Contact record with the full postal address stored in Freshsales' address compound field. Any Opera 3 contact without an email address is flagged for manual enrichment during migration.

Opera 3

Purchase Ledger Supplier

maps to

Freshsales

Account (type = Customer or Vendor)

1:1
Fully supported

Opera 3 Purchase Ledger supplier records use the same account schema as Sales Ledger but with supplier-specific fields. We map these to Freshsales Account records with the Account Type field set to Vendor for suppliers and Customer for any supplier records that also have outgoing sales invoices. This requires a dedupe check against any Sales Ledger accounts with matching company names.

Opera 3

Sales Ledger Company / Multi-Company Code

maps to

Freshsales

Account

1:1
Fully supported

Opera 3 multi-company configurations store separate company codes with individual Sales Ledger, Purchase Ledger, and Nominal Ledger instances. We export each company code as a separate entity and create a corresponding Freshsales Account. For inter-company transactions (where one Opera 3 company code invoices another), we flag these as internal and do not create duplicate Accounts; instead, we map the counterparty company code to a note field on the Account for reconciliation.

Opera 3

Sales Order / Purchase Order

maps to

Freshsales

Deal

1:1
Fully supported

Opera 3 order headers and line items export with order number, order date, status (open/closed), customer reference, delivery address, and line-level pricing including discounts. We map these to Freshsales Deals with the order number stored as a custom field, order date as Deal creation date, and the delivery address as a custom address field on the Deal. Line items are not a standard Freshsales object; we store them as a JSON-formatted note attachment or as Deal Product records if the customer's Freshsales plan includes the Products module.

Opera 3

Sales Invoice / Purchase Invoice

maps to

Freshsales

Deal (Closed Won) + Note attachment

1:many
Fully supported

Opera 3 invoices export with header totals that must reconcile to the sum of line items (enforced by the SQL SE health checker). We map closed invoices to Freshsales Deals with stage set to Closed Won, invoice total as Deal Amount, and invoice date as close date. The invoice PDF (migrated from Opera 3's document folder) attaches as a note to the Deal. Invoice line items store as a JSON note on the Deal since Freshsales does not have a native invoice line item object.

Opera 3

CRM Contact (built-in module)

maps to

Freshsales

Contact

1:1
Fully supported

Opera 3's built-in CRM module stores contacts with company association, activity notes (text-based), and custom fields from the OPUS add-on. Activity notes export as plain text and map to Freshsales Activity records (type = Note) linked to the Contact. OPUS custom fields are not standardised and require manual field-by-field review; we flag each one as unmapped in the written inventory.

Opera 3

CRM Activity Note

maps to

Freshsales

Activity (Note)

1:1
Fully supported

Opera 3 activity logs are text-based notes rather than structured events with timestamps, attendees, or disposition codes. We extract the note body and creation date, then create Freshsales Activity records with type = Note attached to the corresponding Contact or Account. The original timestamp is preserved as the Activity Date. Call disposition, duration, and meeting attendee data (if present) map to Freshsales Call or Meeting activity types with the relevant fields populated.

Opera 3

OPUS Customer Product Variant

maps to

Freshsales

Account Product / Price List Entry

lossy
Fully supported

The OPUS add-on stores customer-specific stock code variants outside the main stock schema — a different product code and description per customer for the same base product. We join the OPUS export to the main product export using the base stock code and customer account reference, then create Freshsales Price List entries tied to the Account. This requires the customer to confirm whether Freshsales Products or Price List entries are the preferred destination for variant pricing. We do not auto-create products; we deliver a mapping table for the admin to configure.

Opera 3

Employee

maps to

Freshsales

User or Contact (owner mapping)

1:1
Fully supported

Opera 3 employee records export via CSV with name, email, start/end dates, bank details, and P45 data. RTI FPS XML files contain tax submission records and EPS files hold employer payment summaries. We map Opera 3 employees who are active sales or service users to Freshsales User records (for Owner assignment), and non-user employees to Contact records for reference. The customer's Freshsales admin provisions the User accounts and assigns role-based permissions before migration begins.

Opera 3

Custom Properties / User-Defined Fields (OPUS)

maps to

Freshsales

Custom Field (unmapped)

lossy
Fully supported

Custom fields added via the OPUS add-on or bespoke modifications to the Visual FoxPro schema are not standardised across installations. We do not automatically migrate bespoke custom fields. We deliver a written inventory of every OPUS custom field found in the export, including its data type, current values, and the objects it applies to, so the customer's admin can create equivalent custom fields in Freshsales and map them manually.

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.

Opera 3 logo

Opera 3 gotchas

High

Visual FoxPro to SQL SE migration is mandatory and non-reversible

Medium

RTI FPS/EPS payroll files use cryptic renamed filenames after HMRC submission

Medium

Customer Products add-on stores customer-specific stock variants outside the main item schema

High

No public API — data export relies on CSV, XML RTI files, or bespoke WCF

Low

Multi-company inter-company balances require cross-reference mapping

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

  • No REST API — extraction via CSV exports or direct SQL reads

    Opera 3 does not expose a documented REST or GraphQL API. Data extraction relies on built-in CSV exports for Sales Ledger and Purchase Ledger contacts, RTI XML files for payroll submissions, and direct SQL Server reads (for SQL SE) or file-system reads (for Visual FoxPro) where CSV exports are insufficient. We scope the export method during the discovery call and use direct SQL reads where CSV exports omit required fields or produce malformed output. Any bespoke WCF endpoints are custom to the installation and require separate scoping. Freshsales' API is well-documented, so the challenge is entirely on the Opera 3 export side.

  • OPUS customer-product variants export as separate schema

    The OPUS add-on exports customer-specific product variants as a separate CSV with a different schema from the standard stock file. The join key is the base stock code plus the customer account reference, not a simple ID match. We join the OPUS export to the main product export during the transform phase and map each variant line to Freshsales Price List entries. If the customer uses Freshsales Products module rather than Price Lists, the mapping requires additional field design. We flag this during scoping and do not auto-create products without customer confirmation.

  • Inter-company balances require cross-reference remapping

    Opera 3 stores inter-company transactions as normal invoices with a counterparty company code rather than a separate ledger type. When migrating to Freshsales, we must remap these so the destination correctly identifies them as internal transfers rather than third-party transactions. If both company codes migrate as separate Freshsales Accounts, we add a note to each Account indicating the inter-company relationship and do not create false revenue recognition on internal deals. The customer must confirm how inter-company accounts should appear in Freshsales reporting.

  • Activity notes are unstructured text without event metadata

    Opera 3's built-in CRM activity logs store activity history as plain text notes rather than structured events with typed fields (call duration, meeting attendees, email subject, task due date). We extract the note body and timestamp, but call disposition codes, attendee lists, email subjects, and task priorities are not present in the export unless they were manually embedded in the note text. We flag this data completeness gap in the written inventory and set expectations that the Freshsales activity timeline for migrated records will show note entries rather than typed event records.

  • Bespoke custom fields not auto-migrated

    Custom fields added via the OPUS add-on or bespoke Visual FoxPro schema modifications are installation-specific and not standardised. We do not automatically migrate bespoke custom fields because their data types, validation rules, and object relationships cannot be reliably inferred without manual review of the source schema. We deliver a written inventory of every non-standard field found in the export, its data type and sample values, and the objects it applies to. The customer's admin creates matching custom fields in Freshsales and maps them as a post-migration manual step.

Migration approach

Six steps for a successful Opera 3 to Freshsales data migration

  1. Discovery and export method scoping

    We audit the Opera 3 installation — edition (Visual FoxPro or SQL SE), installed modules (Sales Ledger, CRM, OPUS add-on, multi-company configuration), approximate record volumes per object, and export method availability. We confirm whether built-in CSV exports cover the required fields or whether direct SQL reads are needed for the CRM and activity history. We also identify any bespoke WCF endpoints and assess their export capability. The discovery output is a written scope document confirming what migrates, what requires manual field mapping, and what is documented but not auto-migrated.

  2. Export extraction from Opera 3

    We run CSV exports from Opera 3's built-in export utilities for Sales Ledger contacts, Purchase Ledger suppliers, and order/invoice headers. For SQL SE installations, we run direct SQL reads against the source database to extract CRM contact records, activity notes, and OPUS variant records where the CSV exports are insufficient. We run the Opera 3 health checker (for SQL SE) to surface any invoice total reconciliation failures before extraction, and we extract RTI FPS/EPS XML files for payroll history if employee-to-User mapping is scoped. All exports are validated against row counts and field presence before the transform phase begins.

  3. Transform and schema mapping

    We transform the Opera 3 export files into Freshsales-compatible JSON or CSV formats. This includes splitting the Sales Ledger into Freshsales Contacts (with account lookup) and Purchase Ledger into Freshsales Accounts, mapping the OPUS variant join to Price List entries, resolving inter-company counterparty codes, and converting activity text notes to Freshsales Activity records with the original timestamp preserved. Any records failing validation (missing required Freshsales fields, unmatched Owner lookups) are logged to a reconciliation queue. We also produce the custom field inventory document for OPUS and bespoke custom fields.

  4. Freshsales sandbox load and reconciliation

    We load the transformed data into a Freshsales sandbox or trial tenant using the Freshsales REST API with OAuth 2.0 authentication. The customer's admin spot-checks 25-50 records against the Opera 3 source for field accuracy, verifies that inter-company Account relationships are correctly represented, and confirms that activity notes appear on the correct Contact and Account timelines. Any mapping corrections are made in the transform layer before production load begins.

  5. Production migration and cutover

    We run the production migration in dependency order: Accounts (from Opera 3 companies), then Contacts, then Deals (from orders and closed invoices), then Activity records. We use the Freshsales REST API with batch endpoints and rate-limit handling. Owner assignment uses email-match lookup against the User table; any unmatched Owners are held in the reconciliation queue until the admin provisions the User. We freeze Opera 3 CRM writes during cutover, run a final delta migration of any records modified during the window, then switch the team to Freshsales as the system of record.

  6. Automation inventory handoff and post-migration support

    We deliver the written automation inventory documenting every Opera 3 workflow rule, alert trigger, and cross-module automation found in the installation, with a recommended Freshsales automation equivalent for each. We do not rebuild Opera 3 workflows in Freshsales as part of the migration scope; that work is handled by the customer's admin team or a Freshsales implementation partner. We offer a one-week hypercare window to resolve reconciliation issues raised during the first week of live Freshsales usage.

Platform deep dives

Context on both ends of the pair

Opera 3 logo

Opera 3

Source

Strengths

  • Integrated accounting, payroll, stock control, and CRM in one UK-compliant ERP platform.
  • SQL Server-backed data integrity with health checker validation and rollback capability during migrations.
  • Multi-company and multi-currency support for businesses with complex legal entity and international trading structures.
  • RTI payroll compliance with HMRC FPS/EPS XML filing built directly into the system.
  • Flexible reporting with Business Intelligence integration and Qlik Sense connectivity for advanced analytics.

Weaknesses

  • No public REST API — bespoke integrations require WCF endpoint development or CSV file exports.
  • Visual FoxPro edition (legacy) lacks features available in SQL SE such as AP Automation and Pegasus Data Connector.
  • Customer service ratings lag behind competing ERP platforms, with support speed cited as a recurring pain point.
  • Self-service migration tools only support movement between Opera 3 editions; cross-vendor migrations require direct engagement with Pegasus Professional Services.
  • UI and workflow design reflects traditional Windows desktop application patterns, creating friction for teams expecting modern SaaS UX.
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 Opera 3 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

    Opera 3: Not publicly documented — no published API means no documented rate limits.

  • Data volume sensitivity

    B

    Opera 3 doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Opera 3 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 Opera 3 to Freshsales data migrations

Answers to the questions buyers ask most during Opera 3 to Freshsales migration scoping. Not seeing yours? Book a call.

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Straightforward migrations with clean CSV exports, under 10,000 contacts, and no OPUS add-on typically complete in two to four weeks. Migrations with OPUS customer-product variants, multi-company inter-company balance remapping, large activity note histories (over 50,000 records), or direct SQL SE database reads move to six to ten weeks because of the additional transform complexity and custom field inventory work.

Adjacent paths

Related migrations to explore

Ready when you are

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