Migrate your Atlas ERP data
Bulgarian MS SQL Server-based ERP for mid-market manufacturers and trading companies, built around a modular stack of financials, production planning, warehousing, and CRM with a client-server architecture.
In its favor
Why people choose Atlas ERP
The signal that keeps Atlas ERP on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Modular pricing lets small and mid-sized companies adopt only the modules they need — financials, production planning, warehousing, or CRM — without buying a monolithic suite upfront.
The system runs on MS SQL Server, meaning companies with existing SQL Server infrastructure can host Atlas on-premises with full database access and no per-transaction cloud fees.
AS Systems (the vendor) offers custom procedure development to adapt the system to non-standard business processes rather than forcing companies to conform to the software defaults.
Implementation is described as quick to learn and deploy compared to major international ERP platforms, making it attractive to Bulgarian and regional mid-market companies seeking faster time-to-live.
The integrated BPM module lets companies model and execute business processes within the same system that handles financials and operations, avoiding a separate BPMS purchase.
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.
Reasons to switch
Why people leave Atlas ERP
The recurring reasons buyers give for replacing Atlas ERP. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Atlas ERP fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Atlas ERP pricing overview
Atlas ERP uses per-user-per-month pricing that decreases as team size grows, with three named tiers covering small (up to 15 users), mid (16–100 users), and enterprise (unlimited users) footprints.
Start
Tier 1 of 3
$9/user/month
What's included
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What gets migrated
Atlas ERP object support
Object-by-object support for Atlas ERP migrations. Per-pair details surface during scoping.
Chart of Accounts
Fully supportedThe COA is stored as a flat or hierarchical table in the MS SQL database with account codes, names, and types. We extract it via direct SQL read and remap account codes to the destination's COA during import. Parent-child hierarchy is preserved via the parent_account_id field.
Journal Entries
Mapping requiredAtlas posts all module transactions (sales, purchases, inventory movements, payroll) to the Finance module automatically. We extract the journal_lines and journal_headers tables together and map them to the destination's ledger format, flagging any multi-currency amounts that require exchange-rate handling.
Warehouses
Fully supportedWarehouses are standard master-data records with a warehouse_id, name, address, and optional cost-center linkage. We export them as-is and create corresponding inventory locations in the destination system.
Items
Mapping requiredItems include product masters with BOM (Bill of Materials) linkages for manufactured goods. The BOM explosion table is separate from the item master — we extract both and resolve the BOM hierarchy in the destination, flagging any item recipes that reference inactive warehouses.
Production Orders
Mapping requiredProduction orders link to the Production Planning module and carry a status lifecycle (planned, released, in-progress, closed). We preserve the order header, routing steps, and consumed-issued quantities, mapping the production calendar to the destination's scheduling model.
Sales Orders
Fully supportedSales orders are stored with a header and line table covering item, quantity, price, and discount. We extract the full order header, line detail, and associated client record, preserving open/closed status so that only active orders are re-created in the destination.
Purchase Contracts
Fully supportedPurchase contracts and planned deliveries are stored in the Purchasing module. We export contract headers, line items, supplier linkage, and delivery schedule dates. Pending delivery lines are flagged for downstream PO generation in the destination system.
Employees
Fully supportedEmployee records include name, department, position, employment status, and salary grade. We map these to the destination's HRM schema, preserving the department hierarchy and active/inactive employment state. Effective-dated salary history is extracted from the payroll history table.
Payroll Runs
Mapping requiredPayroll 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, then map to the destination's payroll schema — noting that tax-code logic does not transfer and must be reconfigured per jurisdiction.
Business Analysis / Reports
Not in this platformAtlas stores custom report definitions and dashboard configurations in a proprietary format tied to the UI layer. These are not independently exportable. We do not migrate report templates; we recommend rebuilding them in the destination system using its native reporting tools.
Custom Properties
Mapping requiredUser-defined fields added through the system administration layer are stored in companion tables alongside the core entity tables. We detect these by inspecting the database schema before export, extract the extra columns, and map them to custom fields in the destination — handling data-type conversion for dates, numbers, and picklists.
Attachments / Documents
Mapping requiredDocuments linked to orders, items, employees, or production orders are stored on the file system or in varbinary columns in MS SQL. We extract the binary blobs and recreate them as file attachments in the destination, preserving the original filename and association.
Customers / CRM
Fully supportedCustomer and contact records from the CRM module include company name, contact persons, addresses, sales Responsible person, and lifecycle stage. We export the full contact hierarchy and map it to the destination's account or contact object, preserving any tag or segment assignments.
Service Desk Tickets
Mapping requiredService desk tickets carry a status, priority, assignee, and conversation history. We export the ticket header, linked SLA terms (which are not transferable), and conversation threads. SLA configuration must be re-created in the destination.
| Object | Support | Notes |
|---|---|---|
| Chart of Accounts | Fully supported | The COA is stored as a flat or hierarchical table in the MS SQL database with account codes, names, and types. We extract it via direct SQL read and remap account codes to the destination's COA during import. Parent-child hierarchy is preserved via the parent_account_id field. |
| Journal Entries | Mapping required | Atlas posts all module transactions (sales, purchases, inventory movements, payroll) to the Finance module automatically. We extract the journal_lines and journal_headers tables together and map them to the destination's ledger format, flagging any multi-currency amounts that require exchange-rate handling. |
| Warehouses | Fully supported | Warehouses are standard master-data records with a warehouse_id, name, address, and optional cost-center linkage. We export them as-is and create corresponding inventory locations in the destination system. |
| Items | Mapping required | Items include product masters with BOM (Bill of Materials) linkages for manufactured goods. The BOM explosion table is separate from the item master — we extract both and resolve the BOM hierarchy in the destination, flagging any item recipes that reference inactive warehouses. |
| Production Orders | Mapping required | Production orders link to the Production Planning module and carry a status lifecycle (planned, released, in-progress, closed). We preserve the order header, routing steps, and consumed-issued quantities, mapping the production calendar to the destination's scheduling model. |
| Sales Orders | Fully supported | Sales orders are stored with a header and line table covering item, quantity, price, and discount. We extract the full order header, line detail, and associated client record, preserving open/closed status so that only active orders are re-created in the destination. |
| Purchase Contracts | Fully supported | Purchase contracts and planned deliveries are stored in the Purchasing module. We export contract headers, line items, supplier linkage, and delivery schedule dates. Pending delivery lines are flagged for downstream PO generation in the destination system. |
| Employees | Fully supported | Employee records include name, department, position, employment status, and salary grade. We map these to the destination's HRM schema, preserving the department hierarchy and active/inactive employment state. Effective-dated salary history is extracted from the payroll history table. |
| Payroll Runs | Mapping required | 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, then map to the destination's payroll schema — noting that tax-code logic does not transfer and must be reconfigured per jurisdiction. |
| Business Analysis / Reports | Not in this platform | Atlas stores custom report definitions and dashboard configurations in a proprietary format tied to the UI layer. These are not independently exportable. We do not migrate report templates; we recommend rebuilding them in the destination system using its native reporting tools. |
| Custom Properties | Mapping required | User-defined fields added through the system administration layer are stored in companion tables alongside the core entity tables. We detect these by inspecting the database schema before export, extract the extra columns, and map them to custom fields in the destination — handling data-type conversion for dates, numbers, and picklists. |
| Attachments / Documents | Mapping required | Documents linked to orders, items, employees, or production orders are stored on the file system or in varbinary columns in MS SQL. We extract the binary blobs and recreate them as file attachments in the destination, preserving the original filename and association. |
| Customers / CRM | Fully supported | Customer and contact records from the CRM module include company name, contact persons, addresses, sales Responsible person, and lifecycle stage. We export the full contact hierarchy and map it to the destination's account or contact object, preserving any tag or segment assignments. |
| Service Desk Tickets | Mapping required | Service desk tickets carry a status, priority, assignee, and conversation history. We export the ticket header, linked SLA terms (which are not transferable), and conversation threads. SLA configuration must be re-created in the destination. |
Gotchas
What to watch for in Atlas ERP migrations
Issues we've hit on past Atlas ERP migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
No public API — migration requires direct SQL read
Automatic inter-module posting creates duplicate ledger entries
Holding structure is stored as a self-referential company table
BOM and routing data live in separate tables from item masters
Custom fields not surfaced in the standard export UI
| Severity | Issue |
|---|---|
| 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 |
Leaving Atlas ERP?
Where Atlas ERP customers move next
6 destinations Atlas ERP can migrate to.
How a Atlas ERP migration works
Four steps, Atlas ERP-specific
Connect
Not publicly documented into Atlas ERP. Scopes limited to read-only on the data we move.
Map
We translate Atlas ERP-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Atlas ERP quirks before production.
Migrate
Full migration with Atlas ERP rate-limit handling. Rollback available throughout.
FAQ
Atlas ERP migration FAQ
Answers to the questions buyers ask most during Atlas ERP migration scoping. Not seeing yours? Book a call.
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