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Database ⇄ Business productivity

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

Keep Amazon Aurora 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.

  • 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 Amazon Aurora and Klaviyo

Mirror Klaviyo's data into Amazon Aurora 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 Klaviyo 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 Amazon Aurora.

Stacksync mirrors Flows, Templates, Catalog Items, Tags from Klaviyo into Schemas, Tables, Views, Materialized Views in Amazon Aurora 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 Klaviyo, so the tool and the database never disagree.

Common use cases

  • Keep suppression and consent status consistent between Klaviyo and other email or SMS tools
  • Sync catalog items from an ERP or PIM so product recommendations and back-in-stock flows use current data
  • Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • Consolidate several Aurora clusters into one reporting database.

Read Klaviyo with a query

Records from Klaviyo are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.

Automate Klaviyo from your codebase

Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Klaviyo, replacing custom integration code.

React to changes as they happen

Updates in Klaviyo arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.

What you can sync between Amazon Aurora 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 Aurora objects Klaviyo objects
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Events Timestamped behavioral records tied to metrics; external order and product events are pushed in to trigger flows.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Metrics Event type definitions organize the activity stream used in segmentation and attribution.
Databases Logical databases within a cluster that scope a sync connection. Campaigns Email and SMS sends expose performance data for warehouse-based reporting.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Flows Automation definitions and their engagement data sync outward for attribution.
Tables Relational tables synced bi-directionally at row level. Templates Message templates are accessible via API for content management workflows.
Views Read-only query-backed sources for downstream syncs. Catalog Items Product catalog records synced from an ERP or PIM power product blocks and back-in-stock triggers.
What ships with Amazon Aurora ⇄ Klaviyo

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Aurora or Klaviyo record.

Observability

Monitoring

Track your Amazon Aurora ⇄ 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 Aurora and Klaviyo.

How the Amazon Aurora and Klaviyo connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Aurora 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 Aurora 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 Aurora connected
    Klaviyo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon Aurora and Klaviyo 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 Amazon Aurora and Klaviyo.

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