Real-time
Two-way sync
Changes in AWS Aurora MySQL or Oracle CX Sales instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
AWS Aurora MySQL to Oracle CX Sales integration — real-time, two-way sync
Keep AWS Aurora MySQL and Oracle CX Sales in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora MySQL and Oracle CX Sales
Treat Oracle CX Sales like part of your database: its records live in AWS Aurora MySQL as real tables, and writes in either place sync to the other in seconds.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in AWS Aurora MySQL, where it can be queried and joined like everything else.
Stacksync mirrors Leads, Opportunities, Activities, Territories from Oracle CX Sales into Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora MySQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Oracle CX Sales with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Common use cases
- 01 Run CX Sales alongside a second CRM during a merger or migration, with records converging in both directions.
- 02 Push product usage and entitlement data from internal databases into CX Sales to inform forecasting.
- 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
Trigger workflows from CRM changes
Field and stage updates in Oracle CX Sales arrive as row changes in AWS Aurora MySQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Oracle CX Sales become tables in AWS Aurora MySQL you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to AWS Aurora MySQL sync onto the matching records in Oracle CX Sales, giving go-to-market teams live product context.
What you can sync between AWS Aurora MySQL and Oracle CX Sales
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 | Oracle CX Sales objects | How this pairing syncs | |
|---|---|---|---|
| Views Can serve as read-only sync sources for derived or filtered datasets. | Leads Unqualified prospects synced in from marketing tools and back out after conversion | Views is specific to AWS Aurora MySQL and Leads to Oracle CX Sales — 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. | Opportunities Pipeline records with revenue lines, mirrored to forecasting and billing systems | Foreign keys is specific to AWS Aurora MySQL and Opportunities to Oracle CX Sales — 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. | Activities Tasks, appointments, and call logs used for engagement reporting | Stored procedures and triggers is specific to AWS Aurora MySQL and Activities to Oracle CX Sales — 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. | Territories Assignment structures that downstream routing and comp tools consume | Databases (schemas) is specific to AWS Aurora MySQL and Territories to Oracle CX Sales — 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. | Partners Channel records for organizations selling through partner networks | Tables is specific to AWS Aurora MySQL and Partners to Oracle CX Sales — 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. | Custom objects Objects built in Application Composer, exposed through the same REST conventions | Rows is specific to AWS Aurora MySQL and Custom objects to Oracle CX Sales — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL and Oracle CX Sales
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 Oracle CX Sales 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 Oracle CX Sales through its API, with automatic retries and rate-limit backoff.
Oracle CX Sales AWS Aurora MySQL Interval-based propagation
DetectionStacksync polls Oracle CX Sales for changes on an incremental schedule, reading only records changed since the previous pass. Polling on last-update audit fields.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Oracle CX Sales: Subject to the platform's API rate limits.
What ships with AWS Aurora MySQL ⇄ Oracle CX Sales
Connect AWS Aurora MySQL and Oracle CX Sales for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Oracle CX Sales connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL or Oracle CX Sales 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 Oracle CX Sales record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ Oracle CX Sales 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 Oracle CX Sales.
How the AWS Aurora MySQL and Oracle CX Sales 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
Oracle CX Sales
- Integration surface
- REST API (Oracle Fusion Applications REST framework); SOAP services also available
- Authentication
- OAuth 2.0 or basic authentication against the Fusion instance, depending on configuration
- Change detection
- polling on last-update audit fields; event-driven patterns route through Oracle Integration rather than direct webhooks
- Capabilities
- read · write
- Rate limits
- subject to the platform's API rate limits
How it works
How to connect AWS Aurora MySQL to Oracle CX Sales — 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 Oracle CX Sales 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
Oracle CX Sales
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL and Oracle CX Sales 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 ⇄ Oracle CX SalesCustomers 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 Oracle CX SalesCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Oracle CX Sales integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Oracle CX Sales: 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.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and Oracle CX Sales connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Oracle CX Sales integration in-house.
-
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Oracle CX Sales. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On Oracle CX Sales: Polling on last-update audit fields; event-driven patterns route through Oracle Integration rather than direct webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Oracle CX Sales side: Leads, Opportunities, Activities, Territories, plus custom fields where Oracle CX Sales 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.
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
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