ERP migration

Migrate from Atlas ERP to Infor CloudSuite Corporate

Field-level mapping, validation, and rollback between Atlas ERP and Infor CloudSuite Corporate. We move data and schema; workflows are rebuilt natively in Infor CloudSuite Corporate.

Atlas ERP logo

Atlas ERP

Source

Infor CloudSuite Corporate

Destination

Infor CloudSuite Corporate logo

Compatibility

92%

11 of 12

objects map 1:1 between Atlas ERP and Infor CloudSuite Corporate.

Complexity

BStandard

Timeline

6-10 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Atlas ERP stores every operational record in a single shared MS SQL Server database with no public API, meaning all migration extraction requires direct SQL connectivity with db_datareader scope. The platform posts every Sales, Purchasing, Warehouse, Production, and Payroll transaction automatically to the Finance module, so we sequence operational master data and transactions first, suppress the auto-posting flag during the operational load, then import open-period journal entries after go-live to avoid duplicate ledger rows. We map the self-referential holding-company table to Infor CloudSuite's multi-company hierarchy, resolve BOM and routing table joins against the item master, and flag every discovered shadow-column custom field before export. Workflows, BPM models, custom report definitions, and integrations built on Atlas custom procedures do not migrate; we deliver a written inventory of these artifacts for the customer's implementation team to rebuild in Infor CloudSuite. Infor CloudSuite's API Gateway enforces tiered rate limits ranging from 250,000 to 6,250,000 executions per day depending on subscription tier, and we handle backoff and chunking accordingly during the load phase.

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

Atlas ERP logo

Atlas ERP

What's pushing teams away

  • The platform is narrowly known in Bulgarian and Eastern European markets, making it difficult to hire staff already familiar with Atlas ERP compared to more globally distributed systems.
  • As a client-server on-premises system, it lacks the automatic updates, mobile-first UX, and remote-access simplicity of cloud-native ERP competitors, driving teams toward SaaS alternatives.
  • Custom procedure development, while flexible, becomes a long-term maintenance risk when the original developer is no longer available to support bespoke code written for the MS SQL layer.
  • Integration with modern third-party SaaS tools (Shopify, Stripe, Salesforce) requires custom middleware or API workarounds since there is no native connector ecosystem.
  • Support responsiveness is limited to business hours in a single time zone, which frustrates companies with global operations or after-hours manufacturing runs.

Choosing

Infor CloudSuite Corporate logo

Infor CloudSuite Corporate

What's pulling them in

  • Infor CloudSuite is industry-specific out of the box — manufacturing, distribution, healthcare, and food & beverage editions ship with preconfigured workflows that reduce the need for extensive customization and accelerate time to value for operations-heavy organizations.
  • The platform's deep integration with Excel for financial reporting is frequently cited as a key productivity feature, allowing finance teams to pull data directly and make changes without leaving familiar tooling.
  • AWS-hosted multi-tenant deployment eliminates data center management for IT teams, and Infor OS provides a unified integration layer (ION) that connects the CloudSuite to third-party applications without point-to-point middleware.
  • Organizations with multi-site or multi-country operations choose Infor for its multicurrency, multilanguage, and local regulatory compliance capabilities across 175+ countries, which simplifies consolidation for global CFOs.
  • The two-tier ERP strategy positioning lets corporate headquarters run CloudSuite while subsidiaries run lighter instances, which appeals to complex organizational structures that want standardization without full replacement.

Object mapping

How Atlas ERP objects map to Infor CloudSuite Corporate

Each row shows how a Atlas ERP object lands in Infor CloudSuite Corporate, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Atlas ERP

Chart of Accounts

maps to

Infor CloudSuite Corporate

Chart of Accounts

1:1
Fully supported

Atlas stores the COA as a hierarchical MS SQL table with account codes, names, types, and optional cost-center linkage. We extract the full account tree via direct SQL read and remap account codes to Infor CloudSuite's account structure during load. Multi-segment account codes (if used in Atlas) are flattened or segmented per Infor's chart-of-accounts configuration. The holding-company inter-company accounts are flagged for mapping to Infor's inter-company transaction configuration.

Atlas ERP

Journal Entries

maps to

Infor CloudSuite Corporate

General Ledger Journal

1:1
Mapping required

Atlas auto-posts all module transactions (Sales, Purchasing, Warehouses, Production, Payroll) to the Finance module. We extract journal_headers and journal_lines together and suppress auto-posting on the destination during the operational load phase, then import journal entries only for the open period after go-live to prevent duplicate ledger rows. Closed-period journals are exported as reference records only unless the customer requires full historical carry-forward.

Atlas ERP

Warehouses

maps to

Infor CloudSuite Corporate

Warehouse Locations

1:1
Fully supported

Atlas Warehouses are master-data records with warehouse_id, name, address, and optional cost-center linkage. We export them as-is and create corresponding inventory locations in Infor CloudSuite. Multi-warehouse configurations (if Atlas uses site-based costing) map to Infor's site-level inventory organization with inter-warehouse transfer rules configured post-migration.

Atlas ERP

Items

maps to

Infor CloudSuite Corporate

Items / Product Master

1:1
Mapping required

Atlas Items include product masters with BOM linkages for manufactured goods. The bom_lines table is separate from the item master and must be joined during extraction to preserve the BOM hierarchy. We export the item master, all bom_lines referencing each item_code, and routing_steps (production order routing definitions) as a joined package, mapping to Infor CloudSuite's Item Master and Bill of Material structure with quantity-per and operation-step sequencing preserved.

Atlas ERP

Bill of Materials

maps to

Infor CloudSuite Corporate

Bill of Material

1:1
Fully supported

BOMs for manufactured items in Atlas live in a companion bom_lines table joined by item_code, not in the item master itself. A naive export of just the item master will miss all production capability. We extract the bom_lines and routing_steps tables alongside the item export, preserve the bill of material header and line structure with quantity-per and scrap-percentage, and map them to Infor CloudSuite's BOM and routing tables with multi-level BOM explosion preserved.

Atlas ERP

Production Orders

maps to

Infor CloudSuite Corporate

Production Orders

1:1
Mapping required

Atlas Production Orders link to the Production Planning module and carry a status lifecycle (planned, released, in-progress, closed). We preserve the order header, all routing steps referencing the production order, consumed and issued quantities, and co-product/by-product output lines. In Infor CloudSuite Industrial, production orders are created against the Item Master BOM and routing; we resolve the destination Item Number and Work Order Number during migration and flag any orphaned production orders that reference items not yet migrated.

Atlas ERP

Sales Orders

maps to

Infor CloudSuite Corporate

Sales Orders

1:1
Fully supported

Atlas Sales Orders are stored with a header and line table covering item_code, quantity, price, discount, and Responsible person. We extract the full order header, line detail, and associated customer record, preserving open/closed status, order dates, and pricing. In Infor CloudSuite, Sales Orders are created against the Customer and Item Master; we resolve customer_id and item_code references at migration time and flag any orders referencing unmigrated customers or items for manual review.

Atlas ERP

Purchase Contracts

maps to

Infor CloudSuite Corporate

Purchase Orders / Contracts

1:1
Fully supported

Atlas Purchase Contracts and planned deliveries are stored in the Purchasing module with contract headers, line items, supplier linkage, and delivery schedule dates. We export the full contract structure including pending delivery lines and map to Infor CloudSuite's Purchase Order or Blanket Agreement based on the contract type. Supplier records are resolved against the migrated vendor master; any unmatched suppliers go to a reconciliation queue.

Atlas ERP

Customers / CRM

maps to

Infor CloudSuite Corporate

Customers / Account Contacts

1:1
Fully supported

Atlas CRM records include company name, contact persons, addresses, Responsible person, and lifecycle stage. We export the full contact hierarchy and map to Infor CloudSuite's Customer and Contact structure. The Atlas holding-company relationship (parent_company_id) is preserved as an Account hierarchy in Infor CloudSuite. Any custom CRM fields discovered via schema diff are mapped to Infor custom fields on the Customer or Contact object.

Atlas ERP

Employees

maps to

Infor CloudSuite Corporate

Employees

1:1
Fully supported

Atlas Employee records include name, department, position, employment status, and salary grade. We map these to Infor CloudSuite's HRM schema, preserving the department hierarchy and active/inactive employment status. Employee records that are tied to Infor-specific cost-center or payroll configuration are flagged for the customer's HR administrator to complete after migration because Infor payroll setup requires country-specific tax and benefit parameters not transferable from Atlas.

Atlas ERP

Payroll Runs

maps to

Infor CloudSuite Corporate

Payroll History

1:1
Mapping required

Atlas Payroll history is stored in a separate payroll module with period-based gross/net breakdown, deductions, and employer contributions. We export the run summary and line-by-line detail as reference data. Payroll configuration (deduction codes, tax codes, benefit plans) does not migrate because Infor CloudSuite payroll requires country-specific tax and benefit setup through Infor's payroll module. Historical payroll data is migrated as a financial reporting reference rather than as active payroll records.

Atlas ERP

Custom Properties

maps to

Infor CloudSuite Corporate

Custom Fields

lossy
Mapping required

User-defined fields added through Atlas's system administration module exist in companion tables or as extra columns not exposed in the standard UI. We detect these by running a pre-migration schema diff against the base Atlas table definitions, then include discovered extra columns in the export scope. Each custom field is evaluated for its Infor CloudSuite equivalent; simple text, number, and date fields map to Infor custom fields. Complex custom fields referencing lookups or computed values require manual mapping during the schema design phase.

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.

Atlas ERP logo

Atlas ERP gotchas

High

No public API — migration requires direct SQL read

High

Automatic inter-module posting creates duplicate ledger entries

Medium

Holding structure is stored as a self-referential company table

Medium

BOM and routing data live in separate tables from item masters

Medium

Custom fields not surfaced in the standard export UI

Infor CloudSuite Corporate logo

Infor CloudSuite Corporate gotchas

High

Infor OS tier-based usage limits gate API and BaaS capabilities

Medium

Custom Fields use inconsistent naming across Infor editions

Medium

SQL migration utility requires source database access

Medium

Multi-site and multi-currency data require separate period closure sequencing

Low

REST API payload and timeout limits restrict bulk migration throughput

Pair-specific challenges

  • Atlas has no API — direct MS SQL Server access is the only extraction path

    Atlas ERP exposes no REST, SOAP, or GraphQL API. All data extraction requires a privileged MS SQL Server login with db_datareader permission on the Atlas database. We request scoped read access before migration begins. If the customer cannot provide database credentials or their IT policy blocks direct SQL connectivity from an external migration host, the migration is blocked until an exception is granted, a VPN tunnel is established, or an export workaround is coordinated with their database administrator. This is a fundamental architectural constraint of Atlas that applies to every migration destination, not just Infor CloudSuite.

  • Atlas auto-posting to Finance creates duplicate ledger entries in Infor

    Every Sales Order, Purchase Order, Warehouse movement, Production completion, and Payroll run in Atlas auto-generates journal entries in the Finance module at the moment of posting. If we migrate both the operational documents and the finance records simultaneously, Infor CloudSuite will receive the source ledger entries while its own auto-posting rules also fire, producing duplicate debit and credit rows. We sequence the migration to load all operational master data and open transactions first, disable or suppress auto-posting on the Infor side during the operational load, then import only the open-period journal entries after go-live. Closed-period journal history is exported as a reference file for audit rather than as live ledger records.

  • Infor API Gateway rate limits constrain load speed and batch sizing

    Infor CloudSuite's API Gateway enforces tiered rate limits: Essentials tier includes 250,000 API executions per day, Professional tier 1,250,000, and Enterprise tier 6,250,000. Peak-per-minute limits range from 3,000 to 15,000 executions depending on tier. We configure batch sizing and exponential backoff to stay within these limits during the migration load phase. If the destination tenant is on an Essentials-tier subscription and the migration scope includes hundreds of thousands of records, the load phase extends proportionally. We estimate load duration based on the API tier available and flag any scope adjustments before the migration begins.

  • BOM and routing tables are separate from the item master in Atlas

    Bill of Materials for manufactured items and routing step definitions for production orders are stored in companion tables linked by item_code rather than embedded in the item master. Extracting just the item master will omit all manufacturing capability data. We join bom_lines and routing_steps to the item export, preserve multi-level BOM explosions, and map the full nested structure to Infor CloudSuite's BOM and routing tables. Any orphaned BOM references pointing to items not yet migrated are flagged in the pre-migration reconciliation report for manual resolution.

  • Holding-company tree must be walked recursively before migration

    Atlas stores multi-company and holding structures using a self-referential company table where parent_company_id points to the parent entity. The holding tree must be walked recursively during extraction to capture all subsidiaries and inter-company relationships. In Infor CloudSuite, we create legal entities in parent-first order to satisfy foreign-key constraints. Inter-company accounts and inter-company transaction templates are mapped from Atlas's holding configuration to Infor's inter-company accounting setup. If the Atlas holding structure includes inactive or archived subsidiaries, we include them as inactive legal entities in Infor rather than dropping them, preserving the audit trail.

Migration approach

Six steps for a successful Atlas ERP to Infor CloudSuite Corporate data migration

  1. Database access and schema diff

    We establish a scoped MS SQL Server connection (db_datareader permission on the Atlas database) and run a pre-migration schema diff against the base Atlas table definitions to identify any shadow columns, custom fields, and companion tables not exposed in the standard UI. This diff output defines the exact extraction scope before any data moves. We also capture the holding-company tree, BOM and routing companion tables, and inter-module foreign-key relationships to build the dependency graph that drives the sequencing plan.

  2. Migration sequencing and staging database setup

    We design the migration sequence based on the Atlas inter-module dependency graph. Master data (Chart of Accounts, Warehouses, Items, Customers, Employees, Suppliers) is extracted first and loaded into Infor CloudSuite before any transaction data. Production Orders, Sales Orders, Purchase Contracts, and Payroll runs follow in dependency order. Journal entries are staged separately for the post-go-live open-period import. We use Infor CloudSuite's Migration Utility or API Gateway to stage data in a migration database, validate referential integrity, and resolve any unmapped codes before copying into the production database. Any Atlas custom fields discovered in the schema diff are provisioned as Infor custom fields before the first data load begins.

  3. BOM and production order pre-processing

    We pre-process the Atlas BOM and routing tables before migration. Multi-level BOM explosions are flattened to their component levels, and routing step sequences are ordered by operation number. Each Atlas production order is evaluated for status (planned, released, in-progress, closed) and linked to its resolved destination Item Number and Work Order Number. Any production orders referencing unmigrated items or routing operations with missing workstations are flagged for the customer's production planning team to resolve before migration. BOM integrity is validated by comparing total component quantities against production order consumed quantities.

  4. Sandbox migration and reconciliation

    We run a full migration into an Infor CloudSuite sandbox environment using production-like data volume. The customer's implementation team and finance team reconcile record counts (accounts, items, orders, employees, journal lines), spot-check 30-50 random records against the Atlas source for field-level accuracy, and validate that BOM explosions, routing steps, and multi-company relationships are correctly represented. Any mapping corrections are documented and applied to the production migration script. Auto-posting suppression is validated by checking that no duplicate ledger entries appear in the sandbox Finance module.

  5. Production migration in dependency order

    We execute the production migration in the validated sequence: Chart of Accounts first, then Warehouses and Site configurations, then Items with BOM and routing tables, then Customers and Employees, then Suppliers, then open Sales Orders, Purchase Contracts, and Production Orders, then Payroll history as reference data, and finally open-period journal entries after go-live. Each phase emits a row-count reconciliation report. Infor API Gateway calls are chunked and throttled to the destination tenant's subscription tier. Any records rejected by validation rules (required fields, picklist whitelists, conditional logic) are logged to an exception queue and resolved in a follow-up pass before the next phase begins.

  6. Cutover, delta sync, and workflow inventory handoff

    We freeze Atlas write access during the cutover window, run a final delta migration of any records modified during the migration execution, and enable Infor CloudSuite as the system of record. We deliver a written inventory of all Atlas BPM workflows, custom report definitions, custom procedure scripts, and inter-module integration points requiring rebuild in Infor CloudSuite. The customer's implementation team or Infor services partner rebuilds these artifacts post-migration. We support a one-week post-go-live window to resolve any data reconciliation issues raised by the business. We do not rebuild Atlas workflows, automations, or custom reports as Infor configurations within the migration scope.

Platform deep dives

Context on both ends of the pair

Atlas ERP logo

Atlas ERP

Source

Strengths

  • MS SQL Server foundation provides familiar tooling, strong transactional integrity, and straightforward backup-and-restore for IT teams already running the Microsoft stack.
  • Modules share a single database with automatic inter-module posting, ensuring that sales, purchasing, inventory, and finance stay in sync without manual reconciliation entries.
  • The holding structure and multi-company support with inter-company transaction handling is built into the core data model rather than bolted on as an afterthought.
  • Per-user pricing that decreases at higher tiers makes it cost-predictable for growing mid-market companies without per-transaction or per-module surprise billing.
  • Production planning, BOM management, and warehousing are integrated natively rather than requiring a separate manufacturing module or third-party add-on.

Weaknesses

  • No publicly documented REST or GraphQL API — all data access requires direct MS SQL Server connectivity, limiting integration options for cloud-first or SaaS-centric architectures.
  • The client-server architecture means no real multi-device, mobile-native experience; remote users typically rely on VPN or remote desktop access.
  • Customer reviews and community content are extremely scarce, making independent evaluation of real-world reliability and support quality difficult before committing.
  • The platform appears to serve almost exclusively the Bulgarian and Eastern European market, creating long-term vendor-lock-in risk if AS Systems reduces investment or support.
  • Customizations live in MS SQL stored procedures, which are difficult to version-control, audit, and port to newer versions of the application during upgrades.
Infor CloudSuite Corporate logo

Infor CloudSuite Corporate

Destination

Strengths

  • Industry-specific preconfiguration across manufacturing, distribution, healthcare, and food & beverage reduces post-implementation customization effort.
  • Deep Excel integration for financial reporting allows finance teams to export, manipulate, and push data back without leaving a familiar environment.
  • Multi-tenant AWS deployment with Infor OS provides a unified integration layer that simplifies connecting to third-party applications and legacy systems.
  • Strong multicurrency, multilanguage, and regulatory localization capabilities support organizations operating across 175+ countries from a single platform.
  • Modular architecture allows organizations to deploy core financials, supply chain, or manufacturing modules independently and expand over time.

Weaknesses

  • Opaque pricing model with no public per-user rates and deployments commonly ranging from $500K to $5M creates significant budget uncertainty for prospective buyers.
  • Implementation complexity and timeline (commonly 2+ years for large deployments) leads to extended periods of reduced productivity and elevated project risk.
  • Steep learning curve with hidden options and a lack of public setup guidance makes self-service onboarding difficult compared to competitors with richer documentation communities.
  • Manufacturing module functionality is perceived by some users as outdated relative to modern ERP platforms, with reported bug issues that require workarounds.
  • Tight coupling between modules and environment-specific configurations makes migration to non-Infor systems labor-intensive, increasing switching costs.

Complexity grading

How hard is this migration?

Standard ERP migration. 1 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 Atlas ERP and Infor CloudSuite Corporate.

  • Object compatibility

    B

    1 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

    Atlas ERP: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Atlas ERP to Infor CloudSuite Corporate 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 Atlas ERP to Infor CloudSuite Corporate data migrations

Answers to the questions buyers ask most during Atlas ERP to Infor CloudSuite Corporate migration scoping. Not seeing yours? Book a call.

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Atlas ERP to Infor CloudSuite migrations typically require six to ten weeks for mid-market deployments under 10,000 line items, 5,000 production orders, and a single legal entity. Complex migrations with multi-company holding structures, large historical journal archives (over 500,000 ledger lines), extensive multi-level BOM nesting, or multi-site production configurations extend to fourteen to twenty-two weeks because of the dependency sequencing, BOM pre-processing, and sandbox reconciliation phases. The Atlas direct-SQL extraction time is proportional to the database volume and the network path to the migration host.

Adjacent paths

Related migrations to explore

Ready when you are

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