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Amazon Aurora to YugabyteDB integration — real-time, two-way sync

Keep Amazon Aurora and YugabyteDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Amazon Aurora and YugabyteDB

Keep Amazon Aurora and YugabyteDB 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 Amazon Aurora and YugabyteDB 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 Consolidate several Aurora clusters into one reporting database.
  • 02 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • 03 Consolidate data from regional YugabyteDB clusters into one reporting store.
  • 04 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.

Common sync patterns

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 Amazon Aurora and YugabyteDB, 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 Amazon Aurora and YugabyteDB

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.

Amazon Aurora objects YugabyteDB objects How this pairing syncs
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Schemas Postgres-style namespaces in YSQL used to organize synced data. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables Relational tables synced bi-directionally at row level. Tables Distributed SQL tables split into tablets; the primary read and write targets. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Materialized Views Precomputed query results available in YSQL for read-side shaping. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Sequences ID generation objects relevant when syncing writes into YSQL tables. Columns and Data Types is specific to Amazon Aurora and Sequences to YugabyteDB — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. Primary and Foreign Keys is specific to Amazon Aurora and CDC Streams to YugabyteDB — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. Read Replicas is specific to Amazon Aurora and Databases and Keyspaces to YugabyteDB — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and YugabyteDB

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.

Amazon Aurora YugabyteDB Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryEach detected change is applied to YugabyteDB as a row-level write, with types converted between the two schemas.

YugabyteDB Amazon Aurora Sub-second propagation

DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.

DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with Amazon Aurora ⇄ YugabyteDB

Connect Amazon Aurora and YugabyteDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–YugabyteDB connection.

Real-time

Two-way sync

Changes in Amazon Aurora or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or YugabyteDB 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 Amazon Aurora or YugabyteDB record.

Observability

Monitoring

Track your Amazon Aurora ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and YugabyteDB.

How the Amazon Aurora and YugabyteDB connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

YugabyteDB

Integration surface
SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
Authentication
Database credentials
Change detection
Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works

How to connect Amazon Aurora to YugabyteDB — 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.

  1. 01

    Connect your apps

    Authenticate Amazon Aurora and YugabyteDB 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
    Amazon Aurora connected
    YugabyteDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and YugabyteDB 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 · Amazon Aurora ⇄ YugabyteDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 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
    Amazon Aurora YugabyteDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and YugabyteDB integration FAQ

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.

Learn more about security
SOC 2 Type II
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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:

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 359 integrations available for Amazon Aurora and YugabyteDB.

Popular · 5 of 359
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