Can you integrate MySQL with Postgres Heroku?

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

How do teams use the MySQL and Postgres Heroku integration?

Common patterns for MySQL and Postgres Heroku: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

What should I know about the two APIs?

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

What makes MySQL's data model different?

MySQL: INSERT ... ON DUPLICATE KEY UPDATE provides native upsert semantics for idempotent inbound writes. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between MySQL and Postgres Heroku without custom code.

Is the MySQL–Postgres Heroku 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 MySQL and Postgres Heroku records are not retained after a sync operation.

How much does a MySQL and Postgres Heroku integration cost?

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

Database

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

Keep MySQL 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

Live sync

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MySQL

Postgres Heroku

<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 MySQL and Postgres Heroku

Keep MySQL and Postgres Heroku 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 MySQL and Postgres Heroku 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

Two-way sync between a MySQL application database and a CRM so operational records and sales records stay identical
Expose SaaS objects as MySQL tables so legacy internal tools built on MySQL can read live business data
Keep several Heroku app databases aligned with one system of record
Reflect billing and subscription records into the app database so product logic reads local rows

Regional or environment copies

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

Cross-engine sync

Keep the same dataset live in both MySQL and Postgres Heroku, so each workload runs on the engine that suits it.

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.

What you can sync between MySQL 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.

MySQL objects		Postgres Heroku objects
JSON Columns Validated semi-structured payloads for nested SaaS data.	⇄	Sequences Generate surrogate keys for rows created by inbound syncs.
Stored Procedures Server-side logic that can post-process synced rows.	⇄	Follower Databases Heroku-managed read replicas usable as low-impact sync sources.
Triggers An alternative change-capture mechanism when binlog access is unavailable.	⇄	Tables Standard Postgres tables; the primary two-way sync target for app data.
Databases (Schemas) Top-level namespaces that scope a sync's reads and writes.	⇄	Views Read-side projections exposed to outbound syncs.
Tables The primary sync target; rows map to records in connected systems.	⇄	Materialized Views Precomputed result sets synced outward on refresh.
Views Read-side projections used as outbound sync sources.	⇄	Schemas Namespaces that scope which tables a sync reads and writes.

What ships with MySQL ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MySQL 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 MySQL or Postgres Heroku record.

Observability

Monitoring

Track your MySQL ⇄ 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 MySQL and Postgres Heroku.

How the MySQL and Postgres Heroku connectors work

MySQL

Integration surface: SQL wire protocol (MySQL client/server protocol)
Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities: read · write · CDC
Rate limits: No API rate limits; throughput is bounded by connection limits and server resources

MySQL setup guide

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 MySQL 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 MySQL 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.
- OAuth 2.0
- SSH tunnel
- VPC peering
MySQL connected
Postgres Heroku connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the MySQL 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.
- Standard objects
- Custom objects
- Auto-schema
objects · MySQL ⇄ Postgres Heroku

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
MySQL Postgres Heroku

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

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FAQ

MySQL and Postgres Heroku 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 MySQL and Postgres Heroku.

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

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