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Database ⇄ CRM

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

Keep AWS Aurora PostgreSQL and Gorgias 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 PostgreSQL and Gorgias

Treat Gorgias 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 Messages, Customers, Users (agents), Tags from Gorgias 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 Gorgias 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 Push order, subscription, and shipping data from a production database into Gorgias customer profiles so agents see context without switching tools.
  • 02 Route high-value or churn-risk customers to priority queues by writing scores from a data warehouse into ticket or customer fields.
  • 03 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • 04 Feed operational dashboards from a read replica while the writer handles sync traffic.

Common sync patterns

Internal tools without API code

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

Trigger workflows from CRM changes

Field and stage updates in Gorgias 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 Gorgias become tables in AWS Aurora PostgreSQL you can join with application data directly.

What you can sync between AWS Aurora PostgreSQL and Gorgias

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 Gorgias objects How this pairing syncs
Tables The core sync unit; rows are matched across systems by primary key. Tickets The central support object, aggregating a conversation across channels. Tables is specific to AWS Aurora PostgreSQL and Tickets to Gorgias — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Messages Individual inbound and outbound messages attached to a ticket. Rows is specific to AWS Aurora PostgreSQL and Messages to Gorgias — 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. Customers Unified shopper profiles that merge identities across connected stores. Columns is specific to AWS Aurora PostgreSQL and Customers to Gorgias — 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. Users (agents) Support staff records used for assignment and workload reporting. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Users (agents) to Gorgias — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Tags Categorize tickets for routing and downstream analytics. Views and materialized views is specific to AWS Aurora PostgreSQL and Tags to Gorgias — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Satisfaction surveys CSAT responses synced out for support quality reporting. Foreign keys is specific to AWS Aurora PostgreSQL and Satisfaction surveys to Gorgias — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Gorgias

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

Gorgias AWS Aurora PostgreSQL Sub-second propagation

DetectionGorgias notifies Stacksync of record changes through webhook events. Webhooks for ticket and message events, supplemented by polling with updated-at cursors.

DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Gorgias: Subject to the platform's API rate limits, which vary by plan.
What ships with AWS Aurora PostgreSQL ⇄ Gorgias

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Gorgias 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 Gorgias 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 Gorgias record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Gorgias 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 Gorgias.

How the AWS Aurora PostgreSQL and Gorgias 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

Gorgias

Integration surface
REST API
Authentication
API key paired with the account email over HTTP Basic auth; OAuth 2.0 for public apps
Change detection
Webhooks for ticket and message events, supplemented by polling with updated-at cursors
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits, which vary by plan.
How it works

How to connect AWS Aurora PostgreSQL to Gorgias — 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 Gorgias 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
    Gorgias connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora PostgreSQL and Gorgias 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
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:

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 455 integrations available for AWS Aurora PostgreSQL and Gorgias.

Popular · 6 of 455
All AWS Aurora PostgreSQL integrations All Gorgias integrations Browse all integrations
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