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Database

Connect Amazon Aurora to any app with two-way sync.

Two-way sync Amazon Aurora 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 Amazon Aurora.

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

Databases
Logical databases within a cluster that scope a sync connection.
Schemas
Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection.
Tables
Relational tables synced bi-directionally at row level.
Views
Read-only query-backed sources for downstream syncs.
Materialized Views
Precomputed result sets (PostgreSQL-compatible clusters) readable as sources.
Columns and Data Types
Standard MySQL or PostgreSQL types mapped during field mapping.
Primary and Foreign Keys
Constraints used to identify records and preserve relational integrity in syncs.
Read Replicas
Reader endpoints that syncs can target to keep load off the writer.
API surface

How Stacksync connects to Amazon Aurora.

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

Connection
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

Sync directions

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

Connect Amazon Aurora 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 Amazon Aurora instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora record.

Observability

Monitoring

Track your Amazon Aurora 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 Amazon Aurora connector.

Aurora is bought by backend and platform engineering teams and DBAs standardizing on AWS. It is MySQL- and PostgreSQL-compatible, and AWS positions it for modernizing enterprise applications, multi-tenant SaaS, and internet-scale workloads. Aurora clusters typically hold system-of-record application data — customers, orders, transactions — which makes them a frequent hub for syncing app data with CRMs, ERPs, and warehouses.

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

  1. Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.

  2. Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.

  3. Expose SaaS data (Salesforce, HubSpot) as Aurora tables so engineers query it with plain SQL.

  4. Consolidate several Aurora clusters into one reporting database.

  5. Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.

  6. Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.

All Amazon Aurora integrations

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

CRM · 30

ERP · 25

Database · 16

Data warehouse · 9

Business productivity · 28

Accounting and finance · 14

How it works

Set up Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora
    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
    Amazon Aurora database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo

FAQ

Amazon Aurora connector FAQ

What can I sync with the Amazon Aurora connector?

Amazon Aurora's core objects — Databases, Schemas, Tables, Views 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 Amazon Aurora?

Via MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS, authenticated with Database credentials or IAM database authentication. Changes are detected as follows — log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Amazon Aurora connector two-way?

Yes. Changes made in Amazon Aurora 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 Amazon Aurora integration take to set up?

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

Is Amazon Aurora data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Amazon Aurora 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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