Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Braze instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
AWS Aurora PostgreSQL to Braze integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL 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 PostgreSQL and Braze
Mirror Braze's data into AWS Aurora PostgreSQL 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 PostgreSQL.
Stacksync mirrors Subscription Groups, Content Blocks, Users, Custom Attributes from Braze into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora PostgreSQL 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
- Sync CRM and billing attributes onto Braze user profiles so lifecycle campaigns target accurate plan and status data.
- Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
- Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
- Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
React to changes as they happen
Updates in Braze arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Braze with a query
Records from Braze are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects | Braze objects | |
|---|---|---|
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Purchases Transaction records logged against profiles for revenue-based targeting. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Segments Audience definitions read for membership export and campaign targeting. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Campaigns Message sends whose metadata and analytics are read for reporting. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Subscription Groups Channel-level opt-in states synced with consent records in other systems. |
What ships with AWS Aurora PostgreSQL ⇄ Braze
Connect AWS Aurora PostgreSQL and Braze for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Braze connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or Braze record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Braze.
How the AWS Aurora PostgreSQL and Braze 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
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 PostgreSQL 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.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
connected
Braze
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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.
objects · AWS Aurora PostgreSQL ⇄ BrazeCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL BrazeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Braze integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Braze: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Views and materialized views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Braze connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Braze integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Braze. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Braze side: Subscription Groups, Content Blocks, Users, Custom Attributes, plus custom fields where Braze exposes them. On the AWS Aurora PostgreSQL side: Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Braze.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Campfire -
AWS Aurora PostgreSQL ⇄ Front -
AWS Aurora PostgreSQL ⇄ Amazon Seller Central -
AWS Aurora PostgreSQL ⇄ SendGrid -
Braze ⇄ CockroachDB -
Braze ⇄ Google AlloyDB -
Braze ⇄ Dynamo DB -
Braze ⇄ IBM Db2
No integrations match .
