Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora PostgreSQL to MariaDB integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and MariaDB 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
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Why teams connect AWS Aurora PostgreSQL and MariaDB
Keep AWS Aurora PostgreSQL and MariaDB 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 AWS Aurora PostgreSQL and MariaDB 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
- Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- Feed operational dashboards from a read replica while the writer handles sync traffic.
- Replicate ERP or billing master data into MariaDB databases that power customer-facing applications
- Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled dumps
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.
Cross-engine sync
Keep the same dataset live in both AWS Aurora PostgreSQL and MariaDB, so each workload runs on the engine that suits it.
What you can sync between AWS Aurora PostgreSQL and MariaDB
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.
| AWS Aurora PostgreSQL objects | MariaDB objects | |
|---|---|---|
| Replication slots and publications The logical replication objects that power log-based CDC. | Columns Field-level mapping targets with engine-typed values. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Primary and Unique Keys Match keys for idempotent upserts. | |
| Tables The core sync unit; rows are matched across systems by primary key. | System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | JSON Columns Semi-structured payloads validated with JSON functions. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Stored Procedures Server-side logic that can post-process synced rows. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. |
What ships with AWS Aurora PostgreSQL ⇄ MariaDB
Connect AWS Aurora PostgreSQL and MariaDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–MariaDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or MariaDB 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 AWS Aurora PostgreSQL or MariaDB record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ MariaDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and MariaDB.
How the AWS Aurora PostgreSQL and MariaDB connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
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
How it works
How to connect AWS Aurora PostgreSQL to MariaDB — 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 AWS Aurora PostgreSQL and MariaDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora PostgreSQL
connected
MariaDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and MariaDB 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 · AWS Aurora PostgreSQL ⇄ MariaDBCustomers 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.
AWS Aurora PostgreSQL MariaDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and MariaDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and MariaDB: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Replication slots and publications and Databases and schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for AWS Aurora PostgreSQL and MariaDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. MariaDB: 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). Stacksync manages authentication, retries, and rate limits on both sides.
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AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. MariaDB: Composite primary keys are not supported (primary key must be a single column). Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and MariaDB without custom code.
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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 AWS Aurora PostgreSQL and MariaDB records are not retained after a sync operation.
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 AWS Aurora PostgreSQL and MariaDB.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ InterSystems IRIS -
AWS Aurora PostgreSQL ⇄ MarkLogic -
AWS Aurora PostgreSQL ⇄ Neo4j -
AWS Aurora PostgreSQL ⇄ OCI Database (Oracle Cloud) - MariaDB ⇄ AWS Aurora MySQL
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MariaDB ⇄ MongoDB -
MariaDB ⇄ CockroachDB -
MariaDB ⇄ Google AlloyDB
No integrations match .
