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Data warehouse ⇄ Business productivity

AWS S3 to Braze integration — real-time, two-way sync

Keep AWS S3 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 S3 and Braze

Get the data locked inside Braze into AWS S3 as live tables, and send results back where Braze can use them, without writing a pipeline.

Whatever Braze is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Purchases, Segments, Campaigns, Canvases from Braze into tables in AWS S3 continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in AWS S3 can also be written back into fields in Braze where the tool can use them.

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.
  • Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
  • Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.

Where Braze accepts updates: operational write-back

Segments, scores, or reference values computed in AWS S3 sync back onto records in Braze, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in AWS S3 preserves a queryable record even as data ages out of Braze or gets changed inside it.

Analytics on Braze's data

Records and events from Braze land in AWS S3 as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between AWS S3 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 S3 objects Braze objects
Object Metadata System and user-defined metadata read alongside object contents. Purchases Transaction records logged against profiles for revenue-based targeting.
Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. Segments Audience definitions read for membership export and campaign targeting.
Event Notifications Notifications on object creation or deletion that trigger incremental processing. Campaigns Message sends whose metadata and analytics are read for reporting.
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis.
Multipart Uploads The mechanism used to write large export files reliably. Subscription Groups Channel-level opt-in states synced with consent records in other systems.
Buckets Top-level containers a sync targets; region and policy are set at this level. Content Blocks Reusable message content referenced across campaigns.
What ships with AWS S3 ⇄ Braze

Connect AWS S3 and Braze for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Braze connection.

Real-time

Two-way sync

Changes in AWS S3 or Braze instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 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 S3 or Braze record.

Observability

Monitoring

Track your AWS S3 ⇄ 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 S3 and Braze.

How the AWS S3 and Braze connectors work

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

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 S3 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 S3 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 S3 connected
    Braze connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 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 S3 ⇄ 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 S3 Braze
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS S3 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.

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 S3 and Braze.

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