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Database ⇄ Data warehouse

AWS Aurora PostgreSQL to StarRocks integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and StarRocks 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 StarRocks

Connect AWS Aurora PostgreSQL and StarRocks with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want AWS Aurora PostgreSQL's rows in StarRocks, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in AWS Aurora PostgreSQL where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in AWS Aurora PostgreSQL sync into StarRocks in real time, and result tables in StarRocks sync back into AWS Aurora PostgreSQL, with schema and type mapping between the two systems handled for you.

Common use cases

  • Land CRM and ERP records into StarRocks to serve low-latency operational dashboards
  • Continuously apply upserts from operational databases into Primary Key tables to keep analytics current
  • 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.

Offload heavy reads

Point analytical queries at the synced copy in StarRocks and keep AWS Aurora PostgreSQL focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from AWS Aurora PostgreSQL land in StarRocks as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in StarRocks sync into AWS Aurora PostgreSQL, where whatever reads from that database gets them without querying the warehouse.

What you can sync between AWS Aurora PostgreSQL and StarRocks

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 StarRocks objects
Replication slots and publications The logical replication objects that power log-based CDC. Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Materialized views Automatically maintained rollups used to accelerate queries on synced data.
Tables The core sync unit; rows are matched across systems by primary key. Views Logical views for shaping analytical reads.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Partitions Time or range partitions that scope loads and retention.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Columns Columnar storage with types mapped from source systems during sync.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Databases Top-level namespaces addressed exactly as in MySQL clients.
What ships with AWS Aurora PostgreSQL ⇄ StarRocks

Connect AWS Aurora PostgreSQL and StarRocks for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–StarRocks connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or StarRocks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or StarRocks 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 StarRocks record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ StarRocks 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 StarRocks.

How the AWS Aurora PostgreSQL and StarRocks 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

StarRocks

Integration surface
MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
Authentication
Database credentials (MySQL-compatible username/password)
Change detection
Query-based polling when reading; StarRocks is most often the destination side of a sync
Capabilities
read · write
Rate limits
Ingestion throughput is bounded by cluster resources rather than API quotas
How it works

How to connect AWS Aurora PostgreSQL to StarRocks — 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 AWS Aurora PostgreSQL and StarRocks 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
    AWS Aurora PostgreSQL connected
    StarRocks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and StarRocks 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 · AWS Aurora PostgreSQL ⇄ StarRocks
    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
    AWS Aurora PostgreSQL StarRocks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and StarRocks integration FAQ

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.

Learn more about security
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:

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 386 integrations available for AWS Aurora PostgreSQL and StarRocks.

Popular · 8 of 386
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