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Database ⇄ Business productivity

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

Keep AWS Aurora MySQL 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 AWS Aurora MySQL and Braze

Mirror Braze's data into AWS Aurora MySQL 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 AWS Aurora MySQL.

Stacksync mirrors Content Blocks, Users, Custom Attributes, Custom Events from Braze into Tables, Rows, Columns, Primary keys and indexes in AWS Aurora MySQL 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

  • Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
  • Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
  • Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.

Read Braze with a query

Records from Braze are ordinary rows in AWS Aurora MySQL; 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 AWS Aurora MySQL 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 AWS Aurora MySQL, so triggers, jobs, and services can respond in near real time.

What you can sync between AWS Aurora MySQL 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.

AWS Aurora MySQL objects Braze objects
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis.
Views Can serve as read-only sync sources for derived or filtered datasets. Subscription Groups Channel-level opt-in states synced with consent records in other systems.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Content Blocks Reusable message content referenced across campaigns.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases.
What ships with AWS Aurora MySQL ⇄ Braze

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Braze record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Braze 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 MySQL and Braze.

How the AWS Aurora MySQL and Braze connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

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 AWS Aurora MySQL 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 AWS Aurora MySQL 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
    AWS Aurora MySQL connected
    Braze connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora MySQL and Braze integration FAQ

SECURITY

Security teams love 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
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:

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 386 integrations available for AWS Aurora MySQL and Braze.

Popular · 8 of 386
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