Real-time
Two-way sync
Changes in MariaDB or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Database
MariaDB to Postgres Heroku integration — real-time, two-way sync
Keep MariaDB 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 MariaDB and Postgres Heroku
Keep MariaDB 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 MariaDB 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
- 01 Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled dumps
- 02 Keep several MariaDB instances aligned with one system of record across environments
- 03 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 04 Keep several Heroku app databases aligned with one system of record
Common sync patterns
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 MariaDB 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.
| MariaDB objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map to records in connected systems. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-side projections used as outbound sync sources. | Views Read-side projections exposed to outbound syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns Field-level mapping targets with engine-typed values. | Sequences Generate surrogate keys for rows created by inbound syncs. | Columns is specific to MariaDB and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | System-Versioned Tables is specific to MariaDB and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. | |
| JSON Columns Semi-structured payloads validated with JSON functions. | Materialized Views Precomputed result sets synced outward on refresh. | JSON Columns is specific to MariaDB and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between MariaDB and Postgres Heroku
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
MariaDB Postgres Heroku Sub-second propagation
DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku MariaDB Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is applied to MariaDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with MariaDB ⇄ Postgres Heroku
Connect MariaDB and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MariaDB 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 MariaDB or Postgres Heroku record.
Observability
Monitoring
Track your MariaDB ⇄ 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 MariaDB and Postgres Heroku.
How the MariaDB and Postgres Heroku connectors work
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
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 MariaDB 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 MariaDB 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.
MariaDB
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MariaDB 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 · MariaDB ⇄ 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.
MariaDB Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MariaDB and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MariaDB and Postgres Heroku: authenticate both systems, choose the objects to sync (such as MariaDB's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both MariaDB and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. 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.
-
On the MariaDB side: Primary and Unique Keys, System-Versioned Tables, JSON Columns, Stored Procedures, plus custom fields where MariaDB exposes them. On the Postgres Heroku side: Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for MariaDB and Postgres Heroku: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
SECURITY
Security teams trust 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
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 385 integrations available for MariaDB and Postgres Heroku.
Popular · 2 of 385
No integrations match .
