ERP migration
Field-level mapping, validation, and rollback between Sage 500 and Acumatica. We move data and schema; workflows are rebuilt natively in Acumatica.
Sage 500
Source
Acumatica
Destination
Compatibility
11 of 11
objects map 1:1 between Sage 500 and Acumatica.
Complexity
BStandard
Timeline
48–72 hours
Overview
Sage 500 organizes data around flat file-based modules with limited relational depth: gl_account records carry segment codes as string values, inventory items store cost tiers and BOM structures as separate detail tables, and customer-vendor relationships are modeled with type-coded flags rather than role-based objects. Acumatica uses a branch-company architecture where the same customer record can carry different roles per branch, subaccounts replace flat GL segment strings, and inventory valuation runs through stock items linked to warehouse-specific quantity layers. We map Sage 500 customers and vendors to Acumatica Customers and Vendors with branch-specific contact and address overrides. We translate Sage 500's segmented GL chart (segment1 through segment5) into Acumatica subaccount records, preserving account numbers and descriptions while creating the subaccount mask structure that Acumatica's dimensional reporting requires. Inventory items migrate with their cost layers (Standard, Average, FIFO/LIFO) preserved as Acumatica availability schema records, and BOM/BOO structures translate to Acumatica bills of materials with step and resource requirements. We use Acumatica's REST API for transactional records and Import Scenarios for master data, with a field-level diff before full run and a 48-hour delta pickup window to capture in-flight transactions at cutover. Sage 500 custom fields (UDFs), custom reports, and Crystal Reports templates have no Acumatica equivalent and are flagged for manual rebuild with an export deliverable.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Sage 500 object lands in Acumatica, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Sage 500
Customer
Acumatica
Customer
1:1Sage 500 customer records map 1:1 to Acumatica Customers. We preserve the customer ID as an alternate ID field for traceability. Sage 500's CustomerClass code maps to Acumatica's CustomerClass as a reference lookup — no value transformation required unless your Sage class codes exceed Acumatica's character limit.
Sage 500
Vendor
Acumatica
Vendor
1:1Sage 500 vendor records map to Acumatica Vendors with the same direct mapping approach. Sage's vendor payment terms and 1099 flag translate to Acumatica's Terms and Tax Agency fields. We validate that Sage vendor addresses exist in Acumatica's address table before linking.
Sage 500
gl_account
Acumatica
Account
1:1Sage 500's segmented chart of accounts (segment1–segment5) requires decomposition. The first active segment becomes the Acumatica Account record with the full Sage account number stored in AccountCD. Subsequent segments generate Subaccount records with a configurable mask — your Sage GL administrator defines the segment-to-subaccount mapping before migration.
Sage 500
gl_subaccount
Acumatica
Subaccount
1:1Sage 500 subaccount codes (typically segment2–segment5) map to Acumatica Subaccount records. We preserve the Sage subaccount description and create a subaccount mask matching your reporting dimensions. Inter‑company elimination subaccounts receive a special flag in Acumatica for consolidation setups. During the import, each subaccount links to its parent Account record using the account identifier from the GL mapping phase, ensuring that posting dimensions align correctly in Acumatica's ledger.
Sage 500
IC_InventoryItem
Acumatica
InventoryItem
1:1Sage 500 inventory items map to Acumatica stock items with the same item ID. Valuation method (Standard/Average/FIFO/LIFO) transfers as Acumatica's ValuationMethod field. We read the IC_CostTier table to build Acumatica's cost layer records at migration time, preserving standard cost history.
Sage 500
IC_BOM
Acumatica
Bill of Materials
1:1Sage 500 bills of materials (BOM) and bills of operations (BOO) map to Acumatica's BOM with line items and operation steps. Sage BOM comments and engineering notes migrate as BOM revision descriptions. Multi-level BOMs resolve parent-to-child relationships through iterative import ordering.
Sage 500
AR_Invoice / AR_Payment
Acumatica
ARInvoice / Payment
1:1Sage 500 open AR invoices map to Acumatica ARInvoice records with original invoice dates preserved. Applied payments map to Acumatica Payments linked by customer and invoice reference. Historical (paid) invoices migrate as read‑only records with their payment applications preserved. All documents retain their original document numbers to support audit traceability.
Sage 500
AP_Invoice / AP_Payment
Acumatica
APInvoice / Payment
1:1Sage 500 AP invoices and payments follow the same pattern as AR — open invoices migrate as live Acumatica APInvoice records, applied payments as Payment records. Prepayments and credit memos map to Acumatica's application‑aware document types. Each AP document inherits the vendor's payment term and 1099 flag from the Sage vendor record, preserving tax reporting settings in Acumatica.
Sage 500
SO_SalesOrder / PO_PurchaseOrder
Acumatica
SalesOrder / PurchaseOrder
1:1Open Sage 500 sales orders and purchase orders migrate as Acumatica documents in draft or pending status. Closed orders migrate as historical records for audit continuity. Line items inherit the item and warehouse mapping from the inventory migration phase. The migration preserves each order's original order date and requested ship date, ensuring that scheduling and promise-date logic in Acumatica reflects the original commitment.
Sage 500
UDF (Custom Fields)
Acumatica
Custom Fields (Extender)
1:1Sage 500 user-defined fields (UDFs) stored on any table require Acumatica Extender module configuration. We inventory every UDF before migration, create matching custom fields in Acumatica, and map them during the data import pass. UDF data types (date, numeric, string) map to equivalent Acumatica schema types.
Sage 500
User / Owner
Acumatica
User
1:1Sage 500 user IDs resolve to Acumatica users by email address match. Sage's role‑based permissions require manual reconstruction in Acumatica's access control screens — we provide a role‑mapping worksheet to your Acumatica administrator. During the mapping process, we also capture each user's default branch assignment and notification preferences to replicate Sage's environment settings in Acumatica.
| Sage 500 | Acumatica | Compatibility | |
|---|---|---|---|
| Customer | Customer1:1 | Fully supported | |
| Vendor | Vendor1:1 | Fully supported | |
| gl_account | Account1:1 | Fully supported | |
| gl_subaccount | Subaccount1:1 | Fully supported | |
| IC_InventoryItem | InventoryItem1:1 | Fully supported | |
| IC_BOM | Bill of Materials1:1 | Fully supported | |
| AR_Invoice / AR_Payment | ARInvoice / Payment1:1 | Fully supported | |
| AP_Invoice / AP_Payment | APInvoice / Payment1:1 | Fully supported | |
| SO_SalesOrder / PO_PurchaseOrder | SalesOrder / PurchaseOrder1:1 | Fully supported | |
| UDF (Custom Fields) | Custom Fields (Extender)1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Sage 500 gotchas
Direct SQL access is required for data extraction
Relational schema requires complex multi-table extraction
Custom Crystal Reports templates are file-based, not database-stored
SQL Agent jobs and scheduled tasks are not part of the company database
Inventory costing method determines whether historical costs can be reproduced
Acumatica gotchas
API user licenses cap concurrent sessions and request throughput
Multi-tenant filtering requires CompanyID awareness
Custom fields require separate discovery before field mapping
Notes and attachments use a separate linked table structure
Implementation timelines frequently run 3–9 months end-to-end
Pair-specific challenges
Migration approach
Inventory Sage 500 data model and chart of accounts structure
We connect to the Sage 500 SQL database read-only and extract the full schema: table list, column definitions, UDF declarations, GL segment configuration, inventory cost tier tables, and BOM/routing tables. We generate a data dictionary showing record counts per table and flag any tables exceeding 500,000 rows as high-volume objects requiring batched import. We also identify any custom stored procedures or triggers that modify standard Sage behavior — those have no migration path and are flagged for manual review.
Design Acumatica subaccount mask and GL account mapping
Based on the Sage GL segment discovery, we work with your Acumatica administrator to define the subaccount mask structure. We deliver a GL mapping worksheet that assigns each Sage GL account code to an Acumatica Account record and each Sage segment value (segment2 onward) to a Subaccount record with the correct subaccount dimension. We also map Sage 500 account types to Acumatica AccountClass values and validate that the resulting trial-balance totals in Acumatica will match Sage's pre-migration trial balance.
Migrate master data in dependency order with Acumatica Import Scenarios
We sequence the import: gl_accounts and subaccounts first (establishing the chart), then customers and vendors (which reference GL accounts for AR/AP), then inventory items (which reference warehouse and valuation settings), then BOMs in hierarchical order, then custom fields via Acumatica Extender. We use Acumatica's Import Scenarios for master data, applying field-level validation rules at import time. Any record failing validation is written to an exception report with the exact Acumatica error message, and we re-run the import pass after corrections.
Migrate transactional records with field-level diff on sample
Before the full transactional migration, we run a sample import of the 200 most-recent open AR invoices, 200 open AP invoices, and 100 open sales orders. We generate a field-level diff comparing each Sage source field to its corresponding Acumatica destination field, surface the delta report for your review, and apply corrections to the mapping before the full run. Open invoices, open purchase orders, and current inventory quantities are prioritized for the transactional pass.
Execute full migration with delta-pickup window and one-click rollback
The full transactional migration runs against your Acumatica tenant using batched API calls to avoid throttling. We pause the migration before finalizing so your team can complete any in-flight Sage transactions. A 48-hour delta-pickup window then captures all Sage records modified during the cutover period. FlitStack writes an audit log for every import operation, and one-click rollback reverts the tenant to its pre-migration state if reconciliation fails. After rollback verification, we re-run only the delta pass.
Platform deep dives
Sage 500
Source
Strengths
Weaknesses
Acumatica
Destination
Strengths
Weaknesses
Complexity grading
Standard ERP migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Sage 500 and Acumatica.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Sage 500: Not applicable — extraction performance is bounded by the customer's SQL Server hardware, not a published quota.
Data volume sensitivity
Sage 500 exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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