ERP

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.

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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

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.

Where it works

Mid-market Bulgarian and Eastern European manufacturers and trading companies seeking an integrated ERP without the complexity of major international platforms.Companies already operating on Microsoft infrastructure with existing MS SQL Server expertise who prefer on-premises hosting with direct database access.Organisations with complex, non-standard business processes that can leverage AS Systems custom procedure development for bespoke MS SQL solutions.Growing mid-market companies (15–100+ users) that benefit from tiered per-user pricing where costs decrease at higher user counts.Holding companies requiring multi-company support with inter-company transaction handling built into the core data model rather than bolted on.

Where it struggles

Distributed or globally active companies that require 24/7 multi-timezone support and remote access without relying on VPN or remote desktop connections.Organisations needing to integrate with modern SaaS platforms (Shopify, Stripe, Salesforce) or build API-driven automations, given the absence of a documented REST or GraphQL interface.Companies where staff need mobile access, real-time dashboards, or tablet-native workflows — the client-server architecture supports none of these natively.Businesses planning to scale internationally or hire ERP talent globally, where the narrow Bulgarian market presence creates hiring and long-term vendor-dependency risks.After-hours manufacturing environments or service operations that need responsive support outside standard Eastern European business hours.

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

up to 15 usersBPM, CRM, Finance ManagementCalendar, Task Management, WorkspaceProject Management, Internet MarketingSocial Network, Knowledge DatabaseHRM, Trade Management, Service Desk

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Pricing is informational. FlitStack AI does not bill on Atlas ERP's schedule — see our quote-based pricing →

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 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.

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

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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Most Atlas ERP migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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