Two-way sync
Changes in AWS Aurora PostgreSQL or Klaviyo instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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.
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 AWS Aurora PostgreSQL.
Stacksync mirrors Metrics, Campaigns, Flows, Templates from Klaviyo into Foreign keys, Replication slots and publications, Databases and schemas, Tables 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 Klaviyo, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Klaviyo are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Klaviyo, replacing custom integration code.
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 | Klaviyo objects | |
|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Events Timestamped behavioral records tied to metrics; external order and product events are pushed in to trigger flows. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Metrics Event type definitions organize the activity stream used in segmentation and attribution. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Campaigns Email and SMS sends expose performance data for warehouse-based reporting. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Flows Automation definitions and their engagement data sync outward for attribution. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Templates Message templates are accessible via API for content management workflows. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Catalog Items Product catalog records synced from an ERP or PIM power product blocks and back-in-stock triggers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Klaviyo connection.
Changes in AWS Aurora PostgreSQL or Klaviyo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Klaviyo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Klaviyo record.
Track your AWS Aurora PostgreSQL ⇄ Klaviyo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Klaviyo.
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.
Authenticate AWS Aurora PostgreSQL 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.
Pick the AWS Aurora PostgreSQL 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Klaviyo: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and Klaviyo records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Klaviyo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Klaviyo integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Klaviyo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Klaviyo: Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Klaviyo side: Metrics, Campaigns, Flows, Templates, plus custom fields where Klaviyo exposes them. On the AWS Aurora PostgreSQL side: Foreign keys, Replication slots and publications, Databases and schemas, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Klaviyo.