Two-way sync
Changes in AWS Aurora MySQL or Salesforce Marketing Cloud instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL and Salesforce Marketing Cloud in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Salesforce Marketing Cloud holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in AWS Aurora MySQL, hard to get into campaigns without manual exports.
Stacksync mirrors Contacts / Subscribers, Journeys (Journey Builder), Content Assets (Content Builder), Automations (Automation Studio) from Salesforce Marketing Cloud into Tables, Rows, Columns, Primary keys and indexes in AWS Aurora MySQL field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in AWS Aurora MySQL, from usage, orders, or account status, sync back into Salesforce Marketing Cloud to drive campaigns and ads, with Salesforce Marketing Cloud kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.
Opens, clicks, sends, RSVPs, or ad activity from Salesforce Marketing Cloud land in AWS Aurora MySQL beside the matching customer record, ready for reporting and revenue attribution.
A new lead, form fill, or list change in Salesforce Marketing Cloud arrives as a row change in AWS Aurora MySQL, so scoring, jobs, and notifications run in the tooling your team already uses.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
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 | Salesforce Marketing Cloud objects | How this pairing syncs | |
|---|---|---|---|
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Transactional Sends Triggered and transactional Email/SMS delivered through the Messaging API (/messaging/v1/email/messages/{key}); the Event Notification Service reports each message's disposition (delivered, bounced, opened, clicked). | Primary keys and indexes is specific to AWS Aurora MySQL and Transactional Sends to Salesforce Marketing Cloud — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Data Extensions Custom relational tables that store subscriber, audience, and arbitrary business data; rows are read via GET /data/v1/customobjectdata or SOAP Retrieve and upserted via the synchronous rowset PUT or the async /data/v1/async/dataextensions rows endpoint. This is the primary two-way surface. | Views is specific to AWS Aurora MySQL and Data Extensions to Salesforce Marketing Cloud — 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. | Contacts / Subscribers The contact model keyed by Subscriber Key, holding channel addresses and subscription status; managed through the Contacts API (/contacts/v1/contacts) and the SOAP Subscriber object, and referenced by every send and journey. | Foreign keys is specific to AWS Aurora MySQL and Contacts / Subscribers to Salesforce Marketing Cloud — 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. | Journeys (Journey Builder) Multi-step automated flows read and managed via /interaction/v1/interactions; contacts are injected by firing an entry event to /interaction/v1/events with an EventDefinitionKey and contact data. | Stored procedures and triggers is specific to AWS Aurora MySQL and Journeys (Journey Builder) to Salesforce Marketing Cloud — 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. | Content Assets (Content Builder) Emails, templates, images, and reusable content blocks stored in Content Builder and read or written via /asset/v1/content/assets, used to compose the messages a journey or send delivers. | Databases (schemas) is specific to AWS Aurora MySQL and Content Assets (Content Builder) to Salesforce Marketing Cloud — 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. | Automations (Automation Studio) Scheduled or triggered workflows of import, query, extract, and send activities managed via /automation/v1/automations; SQL Query Activities read Data Views and write results into Data Extensions. | Tables is specific to AWS Aurora MySQL and Automations (Automation Studio) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side. |
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.
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 Salesforce Marketing Cloud through its API, with automatic retries and rate-limit backoff.
DetectionSalesforce Marketing Cloud notifies Stacksync of record changes through webhook events. The Event Notification Service (ENS) issues HTTPS POST callbacks for transactional Email and SMS events (sent, bounce, open, click) once a callback.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Salesforce Marketing Cloud connection.
Changes in AWS Aurora MySQL or Salesforce Marketing Cloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL or Salesforce Marketing Cloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora MySQL or Salesforce Marketing Cloud record.
Track your AWS Aurora MySQL ⇄ Salesforce Marketing Cloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Salesforce Marketing Cloud.
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.
Authenticate AWS Aurora MySQL and Salesforce Marketing Cloud with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS Aurora MySQL and Salesforce Marketing Cloud 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Salesforce Marketing Cloud: 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.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On Salesforce Marketing Cloud: The Event Notification Service (ENS) issues HTTPS POST callbacks for transactional Email and SMS events (sent, bounce, open, click) once a callback URL and subscription are registered and verified. There is no general data-change feed, so Data Extension and Data View syncs poll by date fields. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the AWS Aurora MySQL side: Tables, Rows, Columns, Primary keys and indexes, plus custom fields where AWS Aurora MySQL exposes them. On the Salesforce Marketing Cloud side: Contacts / Subscribers, Journeys (Journey Builder), Content Assets (Content Builder), Automations (Automation Studio). 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 Salesforce Marketing Cloud: Engagement and results next to the customer; React to marketing changes as row changes; Keep contact attributes consistent. Opens, clicks, sends, RSVPs, or ad activity from Salesforce Marketing Cloud land in AWS Aurora MySQL beside the matching customer record, ready for reporting and revenue attribution.
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Salesforce Marketing Cloud: Two APIs on tenant-specific endpoints: a REST API (JSON over HTTPS) for Data Extensions, Journeys, Contacts, Content Builder, and Automations, plus a legacy SOAP API (ExactTarget WSDL) for tracking events and bulk Retrieve. Authentication: OAuth 2.0 via an Installed Package (Client ID + Client Secret). Server-to-server uses the client_credentials grant and web apps use authorization_code, both against {subdomain}.auth.marketingcloudapis.com/v2/token. The 20-minute access token response also returns the account's rest_instance_url and soap_instance_url. Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 410 integrations available for AWS Aurora MySQL and Salesforce Marketing Cloud.