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ERP ⇄ Database

Sage 300 to SQL Server integration — real-time, two-way sync

Keep Sage 300 and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Sage 300 and SQL Server

Give your engineers Sage 300's data in SQL Server: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors AR Customers, AP Vendors, GL Accounts, Journal Batches from Sage 300 into SQL Server and keeps both sides consistent in real time. Whatever Sage 300 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in SQL Server sync back into Sage 300 with its validations respected.

Common use cases

  • 01 Feed a cloud warehouse from SQL Server continuously using native CDC instead of SSIS batch jobs
  • 02 Consolidate branch or plant databases into a single operational SQL Server hub
  • 03 Write web and EDI orders into Order Entry and return order status to the source channel.
  • 04 Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.

Common sync patterns

Read ERP records with a query

Records from Sage 300 live in SQL Server as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Sage 300 interface, limits, and retries.

React to ERP changes

Updates in Sage 300 arrive as row changes in SQL Server, so jobs and triggers can respond as the business record changes.

What you can sync between Sage 300 and SQL Server

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Sage 300 objects SQL Server objects How this pairing syncs
GL Accounts Chart of accounts read for transaction mapping across integrations. Schemas Namespaces (dbo and custom) used to organize synced tables. GL Accounts is specific to Sage 300 and Schemas to SQL Server — each maps to any object or custom field on the other side.
Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. Tables The primary sync target; rows map to records in connected systems. Journal Batches is specific to Sage 300 and Tables to SQL Server — each maps to any object or custom field on the other side.
Order Entry Orders Sales orders written from e-commerce or EDI feeds. Views Read-side projections used as outbound sync sources. Order Entry Orders is specific to Sage 300 and Views to SQL Server — each maps to any object or custom field on the other side.
Purchase Orders Procurement documents read for spend visibility and receiving. Columns Field-level mapping targets with T-SQL types. Purchase Orders is specific to Sage 300 and Columns to SQL Server — each maps to any object or custom field on the other side.
Inventory Items Item master with costing and quantities, synced to storefronts and WMS. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Inventory Items is specific to Sage 300 and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side.
AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. AR Invoices and Receipts is specific to Sage 300 and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Sage 300 and SQL Server

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Sage 300 SQL Server Interval-based propagation

DetectionStacksync polls Sage 300 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.

DeliveryEach detected change is applied to SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Sage 300 Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

DeliveryEach detected change is applied to Sage 300 as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Sage 300 ⇄ SQL Server

Connect Sage 300 and SQL Server for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Sage 300–SQL Server connection.

Real-time

Two-way sync

Changes in Sage 300 or SQL Server instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Sage 300 or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Sage 300 or SQL Server record.

Observability

Monitoring

Track your Sage 300 ⇄ SQL Server sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Sage 300 and SQL Server.

How the Sage 300 and SQL Server connectors work

Sage 300

Integration surface
Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
Authentication
Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
Change detection
Scheduled polling; batch-oriented modules with no webhook surface
Capabilities
read · write

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

How to connect Sage 300 to SQL Server — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Sage 300 and SQL Server with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Sage 300 connected
    SQL Server connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Sage 300 and SQL Server objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Sage 300 ⇄ SQL Server
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Sage 300 SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Sage 300 and SQL Server integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 542 integrations available for Sage 300 and SQL Server.

Popular · 7 of 542
All Sage 300 integrations All SQL Server integrations Browse all integrations
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