Real-time
Two-way sync
Changes in AWS Aurora MySQL or Orderful instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
AWS Aurora MySQL to Orderful integration — real-time, two-way sync
Keep AWS Aurora MySQL and Orderful 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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Migrated from MuleSoft
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Migrated from Celigo
Why teams connect AWS Aurora MySQL and Orderful
Mirror Orderful's data into AWS Aurora MySQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Orderful through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora MySQL.
Stacksync mirrors Relationships, Validation guidelines, Acknowledgments, Webhook events from Orderful into Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora MySQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Orderful, so the tool and the database never disagree.
Common use cases
- 01 Sync inbound purchase orders from Orderful into an ERP or Postgres so fulfillment starts without manual EDI handling.
- 02 Push invoices and advance ship notices from the ERP through Orderful to retail trading partners.
- 03 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
Common sync patterns
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Orderful with a query
Records from Orderful are ordinary rows in AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.
Automate Orderful from your codebase
Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into Orderful, replacing custom integration code.
What you can sync between AWS Aurora MySQL and Orderful
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 | Orderful objects | How this pairing syncs | |
|---|---|---|---|
| Views Can serve as read-only sync sources for derived or filtered datasets. | Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents | Views is specific to AWS Aurora MySQL and Acknowledgments to Orderful — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Webhook events Push notifications for inbound documents and transaction status changes | Foreign keys is specific to AWS Aurora MySQL and Webhook events to Orderful — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON | Stored procedures and triggers is specific to AWS Aurora MySQL and Transactions to Orderful — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Trading partners The retailers, carriers, and suppliers a company exchanges documents with | Databases (schemas) is specific to AWS Aurora MySQL and Trading partners to Orderful — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Relationships Active partner connections per transaction type that govern what can be sent and received | Tables is specific to AWS Aurora MySQL and Relationships to Orderful — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Validation guidelines Partner-specific rules transactions are checked against before delivery | Rows is specific to AWS Aurora MySQL and Validation guidelines to Orderful — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL and Orderful
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.
AWS Aurora MySQL Orderful Sub-second propagation
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
DeliveryEach detected change is written to Orderful through its API, with automatic retries and rate-limit backoff.
Orderful AWS Aurora MySQL Sub-second propagation
DetectionOrderful notifies Stacksync of record changes through webhook events. Webhooks push inbound transactions and status events.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Orderful: Subject to the platform's API rate limits.
What ships with AWS Aurora MySQL ⇄ Orderful
Connect AWS Aurora MySQL and Orderful for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Orderful connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL or Orderful 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 Orderful record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ Orderful 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 Orderful.
How the AWS Aurora MySQL and Orderful 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
Orderful
- Integration surface
- REST API (JSON)
- Authentication
- API key
- Change detection
- webhooks push inbound transactions and status events; polling available as fallback
- Capabilities
- read · write · webhooks
- Rate limits
- subject to the platform's API rate limits
How it works
How to connect AWS Aurora MySQL to Orderful — 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 Orderful 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
Orderful
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL and Orderful 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 ⇄ OrderfulCustomers 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 OrderfulCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Orderful integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Orderful: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On Orderful: Webhooks push inbound transactions and status events; polling available as fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Orderful side: Relationships, Validation guidelines, Acknowledgments, Webhook events, plus custom fields where Orderful exposes them. On the AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for AWS Aurora MySQL and Orderful: One integration pattern for the whole stack; Read Orderful with a query; Automate Orderful from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
-
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Orderful: REST API (JSON). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 342 integrations available for AWS Aurora MySQL and Orderful.
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