Real-time
Two-way sync
Changes in Amazon S3 or Braze instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ Business productivity
Amazon S3 to Braze integration — real-time, two-way sync
Keep Amazon 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Amazon S3 and Braze
Land the records and documents that build up in Braze into Amazon S3 as they are created, and surface Amazon S3's file details on the Braze records that point to them, without an export job to maintain.
Braze and Amazon S3 hold different kinds of data. Braze carries records and the activity around them — the tickets, messages, orders, or issues a team works through, often with documents attached. Amazon S3 holds files and the metadata that describes them. Where the two meet is narrow but real: much of what Braze produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents Braze's records point to.
Stacksync syncs Campaigns, Canvases, Subscription Groups, Content Blocks in Braze with Object versions, Prefixes (folders), Multipart uploads, Buckets in Amazon S3 in real time. Records and attachments created in Braze are written into Amazon S3 as objects or files within seconds of being created. In the other direction, the metadata Amazon S3 keeps about those files — name, location, owner, modified date — flows back onto the matching record in Braze, so people see the current document without leaving the tool. Field-level mapping controls exactly what crosses over and in which direction, so you keep a durable copy of what matters without an extract to schedule or a nightly dump that leaves the copy a day behind.
Common use cases
- 01 Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
- 02 Export campaign and Canvas engagement data into a warehouse for cross-channel reporting.
- 03 Trigger a database or ERP record update the moment an S3 Event Notification fires an object-created event, for example when a partner drops an EDI or invoice file into an inbound prefix.
- 04 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.
Common sync patterns
Archive what Braze produces into Amazon S3
Records and events from Braze — tickets, messages, orders, or issues — are written into Amazon S3 as objects or files as they change, giving you a durable, addressable copy for retention and audit.
Where Braze generates attachments: keep the files in Amazon S3
Documents attached to records in Braze land in the storage system automatically, with the source record holding a link back, so files live in one governed place instead of inside the tool.
Where Amazon S3 holds the source documents: file details on the record
A file's name, location, owner, and modified date from Amazon S3 sync onto the matching record in Braze, so whoever is working there sees the current version without switching tools.
What you can sync between Amazon 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.
| Amazon S3 objects | Braze objects | How this pairing syncs | |
|---|---|---|---|
| Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. | Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | Object metadata is specific to Amazon S3 and Custom Attributes to Braze — each maps to any object or custom field on the other side. | |
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | Object tags is specific to Amazon S3 and Custom Events to Braze — each maps to any object or custom field on the other side. | |
| Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Purchases Transaction records logged against profiles for revenue-based targeting. | Object versions is specific to Amazon S3 and Purchases to Braze — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Segments Audience definitions read for membership export and campaign targeting. | Prefixes (folders) is specific to Amazon S3 and Segments to Braze — each maps to any object or custom field on the other side. | |
| Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. | Campaigns Message sends whose metadata and analytics are read for reporting. | Multipart uploads is specific to Amazon S3 and Campaigns to Braze — each maps to any object or custom field on the other side. | |
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Buckets is specific to Amazon S3 and Canvases to Braze — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 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 S3 Braze Sub-second propagation
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
DeliveryEach detected change is written to Braze through its API, with automatic retries and rate-limit backoff.
Braze Amazon S3 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 written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
- Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
What ships with Amazon S3 ⇄ Braze
Connect Amazon S3 and Braze for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Braze connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon 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 Amazon S3 or Braze record.
Observability
Monitoring
Track your Amazon 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 Amazon S3 and Braze.
How the Amazon S3 and Braze connectors work
Amazon S3
- Integration surface
- S3 REST API (also via AWS SDKs and the S3-compatible endpoint)
- Authentication
- AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles
- Change detection
- S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
- Capabilities
- read · write · webhooks
- Rate limits
- S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
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 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.
- 01
Connect your apps
Authenticate Amazon 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.
Amazon S3
connected
Braze
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon 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.
objects · Amazon S3 ⇄ 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.
Amazon S3 BrazeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Braze integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Braze: authenticate both systems, choose the objects to sync (such as Amazon S3's Object metadata and Object tags), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Braze side: Campaigns, Canvases, Subscription Groups, Content Blocks, plus custom fields where Braze exposes them. On the Amazon S3 side: Object versions, Prefixes (folders), Multipart uploads, Buckets. 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.
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Common patterns for Amazon S3 and Braze: Archive what Braze produces into Amazon S3; Where Braze generates attachments: keep the files in Amazon S3; Where Amazon S3 holds the source documents: file details on the record. Records and events from Braze — tickets, messages, orders, or issues — are written into Amazon S3 as objects or files as they change, giving you a durable, addressable copy for retention and audit.
-
Amazon S3: S3 REST API (also via AWS SDKs and the S3-compatible endpoint). Authentication: AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles. Braze: REST API. Authentication: REST API keys scoped to specific endpoints, issued per workspace. Stacksync manages authentication, retries, and rate limits on both sides.
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Braze: Braze Currents streams granular engagement events to data warehouses and storage destinations, which is how message-level data typically leaves the platform. Amazon S3: Access is scoped per bucket via IAM and bucket policies; a two-way sync credential needs s3:GetObject, s3:PutObject, s3:ListBucket, and object-tagging permissions. Stacksync's field mapping accounts for these differences between Amazon S3 and Braze without custom code.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 490 integrations available for Amazon S3 and Braze.
Popular · 7 of 490
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Amazon S3 ⇄ Lemlist -
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Braze ⇄ Egnyte -
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Braze ⇄ Sharepoint
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