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
Case study
Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
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.
Teams connect AWS Aurora PostgreSQL and MariaDB when applications span both engines and need consistent data. Tables, rows, and views sync across the two databases so a service on MariaDB and one on Aurora read the same records, including MariaDB system-versioned tables where history matters.
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
- 01 Migrate from MariaDB to Aurora PostgreSQL incrementally while both stay live.
- 02 Serve read workloads from one engine while writes continue on the other.
- 03 Keep column and key definitions aligned across the two schemas without manual DDL work.
- 04 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
Common sync patterns
Cross-engine table sync
Tables and rows replicate between Aurora PostgreSQL and MariaDB databases (schemas) with primary and unique keys respected.
Legacy app coexistence
a MariaDB-backed application stays current while new services read the same data from Aurora views.
History-aware replication
MariaDB system-versioned tables sync to Aurora so temporal records are queryable in PostgreSQL.
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 | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | Tables The primary sync target; rows map to records in connected systems. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Columns Field-level mapping targets with engine-typed values. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Stored Procedures Server-side logic that can post-process synced rows. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Stored Procedures to MariaDB — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Databases and schemas is specific to AWS Aurora PostgreSQL and Databases (Schemas) to MariaDB — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Views Read-side projections used as outbound sync sources. | Rows is specific to AWS Aurora PostgreSQL and Views to MariaDB — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Primary and Unique Keys Match keys for idempotent upserts. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Primary and Unique Keys to MariaDB — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL and MariaDB
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.
AWS Aurora PostgreSQL MariaDB Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is applied to MariaDB as a row-level write, with types converted between the two schemas.
MariaDB AWS Aurora 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 AWS Aurora PostgreSQL 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.
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
-
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 Tables and Columns), 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: Cross-engine table sync; Legacy app coexistence; History-aware replication. Tables and rows replicate between Aurora PostgreSQL and MariaDB databases (schemas) with primary and unique keys respected.
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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 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 391 integrations available for AWS Aurora PostgreSQL and MariaDB.
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