Can you integrate Postgres Heroku with PostgreSQL?

Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and PostgreSQL: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Primary and Unique Keys and JSONB Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.

What should I know about the two APIs?

Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.

What makes Postgres Heroku's data model different?

Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. PostgreSQL: INSERT ... ON CONFLICT gives native upsert semantics, which makes inbound syncs idempotent against primary or unique keys. Stacksync's field mapping accounts for these differences between Postgres Heroku and PostgreSQL without custom code.

Is the Postgres Heroku–PostgreSQL integration secure?

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 Postgres Heroku and PostgreSQL records are not retained after a sync operation.

How much does a Postgres Heroku and PostgreSQL integration cost?

Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–PostgreSQL integration in-house.

Is Stacksync a managed Postgres Heroku–PostgreSQL connector?

Yes — Stacksync ships production-grade connectors for both Postgres Heroku and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.

Database

Postgres Heroku to PostgreSQL integration — real-time, two-way sync

Keep Postgres Heroku and PostgreSQL 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

Live sync

stacksync.com

Postgres Heroku

PostgreSQL

<1s: latency
2-way: sync
100M+: records

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 Postgres Heroku and PostgreSQL

Keep Postgres Heroku and PostgreSQL synchronized in real time, across engines, regions, or services, in one or both directions.

Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.

Stacksync syncs tables or collections between Postgres Heroku and PostgreSQL continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

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
Consolidate data from several microservice databases into one operational Postgres store
Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

What you can sync between Postgres Heroku and PostgreSQL

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.

Postgres Heroku objects		PostgreSQL objects
Primary and Unique Keys Match keys for idempotent upserts from connected systems.	⇄	Tables The primary sync target; rows map one-to-one to records in connected SaaS systems.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.	⇄	Views Read-side projections used to expose joined or filtered data to a sync.
Sequences Generate surrogate keys for rows created by inbound syncs.	⇄	Materialized Views Precomputed result sets synced outward on a refresh schedule.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources.	⇄	Schemas Namespaces that scope which tables a sync reads and writes.
Tables Standard Postgres tables; the primary two-way sync target for app data.	⇄	Columns Field-level mapping targets; types are mapped to the connected system's field types.
Views Read-side projections exposed to outbound syncs.	⇄	Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution.

What ships with Postgres Heroku ⇄ PostgreSQL

Connect Postgres Heroku and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–PostgreSQL connection.

Real-time

Two-way sync

Changes in Postgres Heroku or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku or PostgreSQL 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 Postgres Heroku or PostgreSQL record.

Observability

Monitoring

Track your Postgres Heroku ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and PostgreSQL.

How the Postgres Heroku and PostgreSQL connectors work

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

PostgreSQL

Integration surface: SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities: read · write · CDC
Rate limits: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput

PostgreSQL setup guide

How it works

How to connect Postgres Heroku to PostgreSQL — 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 Postgres Heroku and PostgreSQL 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
Postgres Heroku connected
PostgreSQL connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the Postgres Heroku and PostgreSQL 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 · Postgres Heroku ⇄ PostgreSQL

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 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.
- Auto-map
- Type casting
- Transforms
Postgres Heroku PostgreSQL

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

Try interactive demo

FAQ

Postgres Heroku and PostgreSQL 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 Postgres Heroku and PostgreSQL.

Popular · 8 of 386

All Postgres Heroku integrations All PostgreSQL integrations Browse all integrations

Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own

Postgres Heroku to PostgreSQL integration — real-time, two-way sync

Adopted by fast-scaling companies moving mission-critical data in real time