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Database ⇄ Business productivity

Amazon Aurora to Braze integration — real-time, two-way sync

Keep Amazon Aurora and Braze in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • 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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Why teams connect Amazon Aurora and Braze

Mirror Braze's data into Amazon Aurora so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Braze through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Amazon Aurora.

Stacksync mirrors Users, Custom Attributes, Custom Events, Purchases from Braze into Databases, Schemas, Tables, Views in Amazon Aurora and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Braze, so the tool and the database never disagree.

Common use cases

  • 01 Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
  • 02 Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
  • 03 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • 04 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.

Common sync patterns

Read Braze with a query

Records from Braze are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.

Automate Braze from your codebase

Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Braze, replacing custom integration code.

React to changes as they happen

Updates in Braze arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.

What you can sync between Amazon Aurora and Braze

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.

Amazon Aurora objects Braze objects How this pairing syncs
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. Materialized Views is specific to Amazon Aurora and Canvases to Braze — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Subscription Groups Channel-level opt-in states synced with consent records in other systems. Columns and Data Types is specific to Amazon Aurora and Subscription Groups to Braze — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Content Blocks Reusable message content referenced across campaigns. Primary and Foreign Keys is specific to Amazon Aurora and Content Blocks to Braze — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. Read Replicas is specific to Amazon Aurora and Users to Braze — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. Databases is specific to Amazon Aurora and Custom Attributes to Braze — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. Schemas is specific to Amazon Aurora and Custom Events to Braze — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Braze

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.

Amazon Aurora Braze Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

Braze Amazon Aurora Interval-based propagation

DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.

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

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
What ships with Amazon Aurora ⇄ Braze

Connect Amazon Aurora and Braze for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Amazon Aurora or Braze instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Braze 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 or Braze record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Braze sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Braze.

How the Amazon Aurora and Braze connectors work

Amazon Aurora

Integration surface
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
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

Braze

Integration surface
REST API
Authentication
REST API keys scoped to specific endpoints, issued per workspace
Change detection
Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
Capabilities
read · write
Rate limits
Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
How it works

How to connect Amazon Aurora to Braze — 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 Amazon Aurora and Braze 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
    Amazon Aurora connected
    Braze connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Braze 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 · Amazon Aurora ⇄ Braze
    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 Braze
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Braze 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 427 integrations available for Amazon Aurora and Braze.

Popular · 7 of 427
All Amazon Aurora integrations All Braze integrations Browse all integrations
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