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Storage ⇄ Business productivity

Amazon S3 to Klaviyo integration — real-time, two-way sync

Keep Amazon S3 and Klaviyo in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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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 Klaviyo

Land the records and documents that build up in Klaviyo into Amazon S3 as they are created, and surface Amazon S3's file details on the Klaviyo records that point to them, without an export job to maintain.

Klaviyo and Amazon S3 hold different kinds of data. Klaviyo 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 Klaviyo produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents Klaviyo's records point to.

Stacksync syncs Metrics, Campaigns, Flows, Templates in Klaviyo with Object versions, Prefixes (folders), Multipart uploads, Buckets in Amazon S3 in real time. Records and attachments created in Klaviyo 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 Klaviyo, 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 Mirror campaign and flow engagement events into a warehouse for revenue attribution alongside order data
  • 02 Keep suppression and consent status consistent between Klaviyo and other email or SMS tools
  • 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

Feed a data lake or downstream pipeline

Structured records from Klaviyo land in Amazon S3 as objects a data lake, search index, or processing pipeline can read, without a custom extract to build and babysit.

Archive what Klaviyo produces into Amazon S3

Records and events from Klaviyo — 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 Klaviyo generates attachments: keep the files in Amazon S3

Documents attached to records in Klaviyo 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.

What you can sync between Amazon S3 and Klaviyo

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 Klaviyo objects How this pairing syncs
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. Events Timestamped behavioral records tied to metrics; external order and product events are pushed in to trigger flows. Multipart uploads is specific to Amazon S3 and Events to Klaviyo — 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. Metrics Event type definitions organize the activity stream used in segmentation and attribution. Buckets is specific to Amazon S3 and Metrics to Klaviyo — each maps to any object or custom field on the other side.
Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. Campaigns Email and SMS sends expose performance data for warehouse-based reporting. Objects is specific to Amazon S3 and Campaigns to Klaviyo — each maps to any object or custom field on the other side.
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. Flows Automation definitions and their engagement data sync outward for attribution. Object metadata is specific to Amazon S3 and Flows to Klaviyo — 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. Templates Message templates are accessible via API for content management workflows. Object tags is specific to Amazon S3 and Templates to Klaviyo — 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. Catalog Items Product catalog records synced from an ERP or PIM power product blocks and back-in-stock triggers. Object versions is specific to Amazon S3 and Catalog Items to Klaviyo — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 and Klaviyo

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 Klaviyo 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 Klaviyo through its API, with automatic retries and rate-limit backoff.

Klaviyo Amazon S3 Sub-second propagation

DetectionKlaviyo notifies Stacksync of record changes through webhook events. Polling on updated timestamps.

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.
  • Klaviyo: Per-endpoint burst and steady rate limits apply.
What ships with Amazon S3 ⇄ Klaviyo

Connect Amazon S3 and Klaviyo for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 or Klaviyo 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 Klaviyo record.

Observability

Monitoring

Track your Amazon S3 ⇄ Klaviyo 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 Klaviyo.

How the Amazon S3 and Klaviyo 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.

Klaviyo

Integration surface
REST API compliant with the JSON:API specification
Authentication
OAuth 2.0 for apps or private API keys
Change detection
Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions
Capabilities
read · write · webhooks
Rate limits
Per-endpoint burst and steady rate limits apply
How it works

How to connect Amazon S3 to Klaviyo — 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 S3 and Klaviyo 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 S3 connected
    Klaviyo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 and Klaviyo 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 S3 ⇄ Klaviyo
    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 S3 Klaviyo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon S3 and Klaviyo 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.

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 492 integrations available for Amazon S3 and Klaviyo.

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