Real-time
Two-way sync
Changes in MariaDB or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Database
MariaDB to PostgreSQL integration — real-time, two-way sync
Keep MariaDB 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
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 PostgreSQL
Keep MariaDB 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 MariaDB 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
- 01 Keep several MariaDB instances aligned with one system of record across environments
- 02 Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records
- 03 Let an application write to its own database and have those rows appear as records in business systems in near real time
- 04 Consolidate data from several microservice databases into one operational Postgres store
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 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.
| MariaDB objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map to records in connected systems. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | 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 used to expose joined or filtered data to a sync. | 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. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | 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 Used as match keys for idempotent upserts and conflict resolution. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| JSON Columns Semi-structured payloads validated with JSON functions. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | JSON Columns is specific to MariaDB and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | Schemas Namespaces that scope which tables a sync reads and writes. | Stored Procedures is specific to MariaDB and Schemas to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between MariaDB and PostgreSQL
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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL MariaDB Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
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.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with MariaDB ⇄ PostgreSQL
Connect MariaDB and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MariaDB 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 MariaDB or PostgreSQL record.
Observability
Monitoring
Track your MariaDB ⇄ PostgreSQL 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 PostgreSQL.
How the MariaDB and PostgreSQL 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
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
How it works
How to connect MariaDB 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 MariaDB 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.
MariaDB
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MariaDB 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.
objects · MariaDB ⇄ PostgreSQLCustomers 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 PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MariaDB and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MariaDB and PostgreSQL: 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.
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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 MariaDB and PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed MariaDB and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MariaDB–PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both MariaDB and PostgreSQL. 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 MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. On PostgreSQL: 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. 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 MariaDB side: JSON Columns, Stored Procedures, Databases (Schemas), Tables, plus custom fields where MariaDB exposes them. On the PostgreSQL side: Sequences, Custom Types and Enums, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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
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 482 integrations available for MariaDB and PostgreSQL.
Popular · 4 of 482
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PostgreSQL ⇄ Couchbase -
PostgreSQL ⇄ DuckDB -
PostgreSQL ⇄ Elasticsearch -
PostgreSQL ⇄ Google Cloud Spanner
No integrations match .
