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Database ⇄ CRM

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

Keep AWS Aurora PostgreSQL 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora PostgreSQL and Seismic

Treat Seismic like part of your database: its records live in AWS Aurora PostgreSQL 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 PostgreSQL, where it can be queried and joined like everything else.

Stacksync mirrors Users, User Groups, Teamsites, LiveSend Links from Seismic into Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications in AWS Aurora PostgreSQL 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 Extract content-interaction and LiveSend engagement from the Reporting API v2 into a warehouse to tie asset views to CRM Opportunities.
  • 02 Sync Library Content metadata and Custom Property Schemas with a DAM or PIM so one taxonomy governs assets across systems.
  • 03 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • 04 Sync JSONB-heavy application data into structured objects in downstream business systems.

Common sync patterns

Internal tools without API code

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

Trigger workflows from CRM changes

Field and stage updates in Seismic arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Seismic become tables in AWS Aurora PostgreSQL you can join with application data directly.

What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects Seismic objects How this pairing syncs
Replication slots and publications The logical replication objects that power log-based CDC. User Groups Group definitions and membership that govern content access; synced from an IdP or HRIS to keep permissions current. Replication slots and publications is specific to AWS Aurora PostgreSQL and User Groups to Seismic — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Teamsites Tenant-scoped workspace partitions organizing Library content, permissions, and config; scoped by teamSiteId on most content calls. Databases and schemas is specific to AWS Aurora PostgreSQL and Teamsites to Seismic — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. LiveSend Links Trackable content-share links created via the engagement API; their open and view engagement is read back through Reporting. Tables is specific to AWS Aurora PostgreSQL and LiveSend Links to Seismic — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. Rows is specific to AWS Aurora PostgreSQL and Digital Sales Rooms to Seismic — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. Columns is specific to AWS Aurora PostgreSQL and Reporting Activities to Seismic — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Library Content to Seismic — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL Seismic Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

DeliveryEach detected change is written to Seismic through its API, with automatic retries and rate-limit backoff.

Seismic AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ Seismic

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL or Seismic record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Seismic.

How the AWS Aurora PostgreSQL and Seismic connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL connected
    Seismic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora PostgreSQL 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.

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 475 integrations available for AWS Aurora PostgreSQL and Seismic.

Popular · 7 of 475
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