Real-time
Two-way sync
Changes in Klaviyo or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Klaviyo to Postgres Heroku integration — real-time, two-way sync
Keep Klaviyo and Postgres Heroku 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Klaviyo and Postgres Heroku
Mirror Klaviyo's data into Postgres Heroku 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 Postgres Heroku.
Stacksync mirrors Events, Metrics, Campaigns, Flows from Klaviyo into Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases in Postgres Heroku 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
- Push offline, ERP, or subscription order events into Klaviyo as metrics to trigger post-purchase and win-back flows
- Mirror campaign and flow engagement events into a warehouse for revenue attribution alongside order data
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
- Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
React to changes as they happen
Updates in Klaviyo arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Klaviyo with a query
Records from Klaviyo are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Klaviyo and Postgres Heroku
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.
| Klaviyo objects | Postgres Heroku objects | |
|---|---|---|
| Campaigns Email and SMS sends expose performance data for warehouse-based reporting. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Flows Automation definitions and their engagement data sync outward for attribution. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Templates Message templates are accessible via API for content management workflows. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Catalog Items Product catalog records synced from an ERP or PIM power product blocks and back-in-stock triggers. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Tags Organizational labels on campaigns, flows, and lists support reporting rollups. | Views Read-side projections exposed to outbound syncs. | |
| Profiles Person records with arbitrary custom properties are the target for CRM and warehouse-sourced attributes. | Materialized Views Precomputed result sets synced outward on refresh. |
What ships with Klaviyo ⇄ Postgres Heroku
Connect Klaviyo and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Klaviyo–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Klaviyo or Postgres Heroku 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 Klaviyo or Postgres Heroku record.
Observability
Monitoring
Track your Klaviyo ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Klaviyo and Postgres Heroku.
How the Klaviyo and Postgres Heroku connectors work
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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Klaviyo to Postgres Heroku — 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 Klaviyo and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Klaviyo
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Klaviyo and Postgres Heroku 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 · Klaviyo ⇄ Postgres HerokuCustomers 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.
Klaviyo Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Klaviyo and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Klaviyo and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Klaviyo's Campaigns and Flows), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Klaviyo and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Klaviyo–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Klaviyo and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection 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. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Klaviyo side: Events, Metrics, Campaigns, Flows, plus custom fields where Klaviyo exposes them. On the Postgres Heroku side: Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases. 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.
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 Klaviyo and Postgres Heroku.
Popular · 8 of 386
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Klaviyo ⇄ IBM AS/400 -
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Klaviyo ⇄ InfluxDB -
Klaviyo ⇄ InterSystems IRIS -
Postgres Heroku ⇄ Aviato -
Postgres Heroku ⇄ Customer.io -
Postgres Heroku ⇄ eClinicalWorks -
Postgres Heroku ⇄ Full Enrich
No integrations match .
