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Database

Connect AWS Aurora PostgreSQL to any app with two-way sync.

Two-way sync AWS Aurora PostgreSQL across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Object catalog

What Stacksync syncs in AWS Aurora PostgreSQL.

These objects sync between AWS Aurora PostgreSQL and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where AWS Aurora PostgreSQL exposes them.

Databases and schemas
PostgreSQL's two-level namespace scopes which tables a sync connection targets.
Tables
The core sync unit; rows are matched across systems by primary key.
Rows
Inserted, updated, and deleted in both directions during bi-directional syncs.
Columns
Rich Postgres types including JSONB and arrays are mapped to the paired system's fields.
Primary keys and constraints
Identify rows for upserts and enforce integrity on sync writes.
Views and materialized views
Usable as read-only sources for filtered or precomputed sync datasets.
Foreign keys
Relationship metadata that syncs can translate into object references elsewhere.
Replication slots and publications
The logical replication objects that power log-based CDC.
API surface

How Stacksync connects to AWS Aurora PostgreSQL.

The connector runs on AWS Aurora PostgreSQL's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
What ships with AWS Aurora PostgreSQL

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

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL 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 record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the AWS Aurora PostgreSQL connector.

Aurora PostgreSQL is chosen by engineering, DevOps, and database teams on AWS that want Postgres compatibility with Aurora's distributed storage, high availability, and read scaling; AWS positions it for enterprise CRM, ERP, and SaaS workloads. It typically runs as the primary OLTP database for production services. Data gravity is high: application rows, constraints, and views in Aurora define the operational truth that CRMs, support tools, and warehouses need to mirror.

  • Data engineering
  • Backend engineering
  • DevOps / platform engineering
  • Database administrators

  1. Bi-directional sync between Aurora PostgreSQL and a CRM so sales edits and application writes converge in both systems within seconds.

  2. Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.

  3. Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.

  4. Sync JSONB-heavy application data into structured objects in downstream business systems.

  5. Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.

  6. Feed operational dashboards from a read replica while the writer handles sync traffic.

All AWS Aurora PostgreSQL integrations

Pick the system you need to keep in sync with AWS Aurora PostgreSQL. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 31

ERP · 26

Database · 23

Data warehouse · 11

Business productivity · 33

Accounting and finance · 16

How it works

Set up AWS Aurora PostgreSQL in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL connector FAQ

What can I sync with the AWS Aurora PostgreSQL connector?

AWS Aurora PostgreSQL's core objects — Databases and schemas, Tables, Rows, Columns and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to AWS Aurora PostgreSQL?

Via SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC, authenticated with Database credentials, optionally AWS IAM database authentication, over TLS. Changes are detected as follows — log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. Stacksync manages rate limits, retries, and schema changes automatically.

Is the AWS Aurora PostgreSQL connector two-way?

Yes. Changes made in AWS Aurora PostgreSQL propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an AWS Aurora PostgreSQL integration take to set up?

Most AWS Aurora PostgreSQL integrations go live in minutes: authenticate AWS Aurora PostgreSQL and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is AWS Aurora PostgreSQL data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. AWS Aurora PostgreSQL data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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