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Database ⇄ CRM

AWS Aurora MySQL to Seismic integration — real-time, two-way sync

Keep AWS Aurora MySQL and Seismic 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 Seismic

Treat Seismic 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 Teamsites, LiveSend Links, Digital Sales Rooms, Reporting Activities from Seismic into Databases (schemas), Tables, Rows, Columns 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 Seismic 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 Sync Library Content metadata and Custom Property Schemas with a DAM or PIM so one taxonomy governs assets across systems.
  • 02 React to ContentManager and DSR webhook events to update a database when documents are published, versioned, or expired.
  • 03 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 04 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from Seismic 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 Seismic, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Seismic API, limits, and retries.

What you can sync between AWS Aurora MySQL and Seismic

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 Seismic objects How this pairing syncs
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. LiveSend Links Trackable content-share links created via the engagement API; their open and view engagement is read back through Reporting. Rows is specific to AWS Aurora MySQL and LiveSend Links to Seismic — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. Columns is specific to AWS Aurora MySQL and Digital Sales Rooms to Seismic — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. Primary keys and indexes is specific to AWS Aurora MySQL and Reporting Activities to Seismic — 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. Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. Views is specific to AWS Aurora MySQL and Library Content to Seismic — 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. Content Versions Version history for a library item; new versions upload via API and old ones expire, with events firing on ContentManager webhooks. Foreign keys is specific to AWS Aurora MySQL and Content Versions to Seismic — 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. Users User records managed through SCIM 2.0 and legacy user endpoints; created, updated, and deactivated for provisioning sync. Stored procedures and triggers is specific to AWS Aurora MySQL and Users to Seismic — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Seismic

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 Seismic 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 Seismic through its API, with automatic retries and rate-limit backoff.

Seismic AWS Aurora MySQL Sub-second propagation

DetectionSeismic notifies Stacksync of record changes through webhook events. Webhooks for content, version, user, group, workflow, DSR, and LiveSend 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

  • Seismic: Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers.
What ships with AWS Aurora MySQL ⇄ Seismic

Connect AWS Aurora MySQL and Seismic for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Seismic connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Seismic instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Seismic 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 Seismic record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Seismic 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 Seismic.

How the AWS Aurora MySQL and Seismic 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

Seismic

Integration surface
REST Integration APIs and Reporting API v2
Authentication
OAuth 2.0 / OpenID Connect; Bearer token in the Authorization header, via Authorization Code (user context) or client-credentials app-only flows
Change detection
Webhooks for content, version, user, group, workflow, DSR, and LiveSend events; the Reporting API v2 is polled for batch historical extracts (ETL-oriented, not high-frequency)
Capabilities
read · write · webhooks
Rate limits
Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers
Seismic setup guide
How it works

How to connect AWS Aurora MySQL to Seismic — 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 AWS Aurora MySQL and Seismic 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
    AWS Aurora MySQL connected
    Seismic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and Seismic 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 · AWS Aurora MySQL ⇄ Seismic
    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
    AWS Aurora MySQL Seismic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Seismic 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
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GDPR
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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:

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 473 integrations available for AWS Aurora MySQL and Seismic.

Popular · 7 of 473
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