Real-time
Two-way sync
Changes in AWS Aurora MySQL or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
AWS Aurora MySQL to Sage 100 integration — real-time, two-way sync
Keep AWS Aurora MySQL and Sage 100 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
Case study
Migrated from Mulesoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect AWS Aurora MySQL and Sage 100
Give your engineers Sage 100's data in AWS Aurora MySQL: 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 Inventory Items, Sales Orders, AR Invoices, Purchase Orders from Sage 100 into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever Sage 100 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora MySQL sync back into Sage 100 with its validations respected.
Common use cases
- Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
- Push e-commerce and EDI orders into the Sales Order module instead of rekeying them.
- Publish item, pricing, and on-hand inventory to online catalogs on a schedule.
React to ERP changes
Updates in Sage 100 arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.
Where Sage 100 is the HR system of record: people data for internal systems
Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from AWS Aurora MySQL back into Sage 100, keeping the ERP authoritative.
What you can sync between AWS Aurora MySQL and Sage 100
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.
| AWS Aurora MySQL objects | Sage 100 objects | |
|---|---|---|
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | GL Accounts Chart of accounts read for mapping transactions in finance integrations. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Journal Entries Posted GL activity replicated to warehouses for FP&A. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Customers AR customer master records synced to CRMs for account and credit visibility. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Vendors AP vendor master records synced with procurement and payment tools. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Sales Orders Order headers and lines, the usual write target for web and EDI orders. |
What ships with AWS Aurora MySQL ⇄ Sage 100
Connect AWS Aurora MySQL and Sage 100 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Sage 100 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL or Sage 100 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 AWS Aurora MySQL or Sage 100 record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ Sage 100 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Sage 100.
How the AWS Aurora MySQL and Sage 100 connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
Sage 100
- Integration surface
- ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes
- Authentication
- Sage 100 company and user credentials; ODBC DSN credentials for direct reads
- Change detection
- Scheduled polling; no webhooks or change log on the integration surface
- Capabilities
- read · write
How it works
How to connect AWS Aurora MySQL to Sage 100 — 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.
- 01
Connect your apps
Authenticate AWS Aurora MySQL and Sage 100 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora MySQL
connected
Sage 100
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL and Sage 100 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.
objects · AWS Aurora MySQL ⇄ Sage 100Customers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora MySQL Sage 100Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Sage 100 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Sage 100: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Primary keys and indexes and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the AWS Aurora MySQL side: Views, Foreign keys, Stored procedures and triggers, Databases (schemas), plus custom fields where AWS Aurora MySQL exposes them. On the Sage 100 side: Inventory Items, Sales Orders, AR Invoices, Purchase Orders. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for AWS Aurora MySQL and Sage 100: React to ERP changes; Where Sage 100 is the HR system of record: people data for internal systems; Controlled write-back. Updates in Sage 100 arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.
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AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Sage 100: ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes. Authentication: Sage 100 company and user credentials; ODBC DSN credentials for direct reads. Stacksync manages authentication, retries, and rate limits on both sides.
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AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. Sage 100: Writes should go through the Business Object Interface rather than direct file access, so module validation and GL postings are enforced. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Sage 100 without custom code.
SECURITY
Security teams love 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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora MySQL and Sage 100.
Popular · 8 of 386
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Sage 100 ⇄ MongoDB -
Sage 100 ⇄ CockroachDB -
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Sage 100 ⇄ Dynamo DB
No integrations match .
