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Data warehouse ⇄ Database

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

Keep Apache Doris and AWS Aurora 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.

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Why teams connect Apache Doris and AWS Aurora PostgreSQL

Connect AWS Aurora PostgreSQL and Apache Doris 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 Apache Doris, 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 Apache Doris in real time, and result tables in Apache Doris sync back into AWS Aurora PostgreSQL, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Read aggregates from Doris and sync them into business tools like CRMs or spreadsheets.
  • 02 Consolidate event and transactional data from multiple sources into one real-time OLAP layer.
  • 03 Feed operational dashboards from a read replica while the writer handles sync traffic.
  • 04 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.

Common sync patterns

Operational data in the warehouse, minus the pipeline

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

Serve warehouse results at database speed

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

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Apache Doris and AWS Aurora 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.

Apache Doris objects AWS Aurora PostgreSQL objects How this pairing syncs
Tables Columnar tables in one of Doris's table models, used as sync destinations. Tables The core sync unit; rows are matched across systems by primary key. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Materialized Views Precomputed views readable for downstream syncs and BI. Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Materialized Views is specific to Apache Doris and Rows to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side.
Users and Roles Principals used to grant the sync connection scoped access. Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Users and Roles is specific to Apache Doris and Columns to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side.
Databases Logical containers that scope connections and grants. Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Databases is specific to Apache Doris and Primary keys and constraints to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side.
Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Unique Key Tables is specific to Apache Doris and Views and materialized views to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side.
Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Aggregate Key Tables is specific to Apache Doris and Foreign keys to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Apache Doris and AWS Aurora 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.

Apache Doris AWS Aurora PostgreSQL Interval-based propagation

DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.

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

AWS Aurora PostgreSQL Apache Doris 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 Apache Doris as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
What ships with Apache Doris ⇄ AWS Aurora PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Doris or AWS Aurora 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 Apache Doris or AWS Aurora PostgreSQL record.

Observability

Monitoring

Track your Apache Doris ⇄ AWS Aurora PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Doris and AWS Aurora PostgreSQL.

How the Apache Doris and AWS Aurora PostgreSQL connectors work

Apache Doris

Integration surface
MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
Authentication
Database credentials
Change detection
Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
Capabilities
read · write
Rate limits
No API quotas; load throughput depends on cluster resources and load-job configuration

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
How it works

How to connect Apache Doris to AWS Aurora 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.

  1. 01

    Connect your apps

    Authenticate Apache Doris and AWS Aurora PostgreSQL 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
    Apache Doris connected
    AWS Aurora PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Doris and AWS Aurora 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Doris ⇄ AWS Aurora PostgreSQL
    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
    Apache Doris AWS Aurora PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Doris and AWS Aurora PostgreSQL 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.

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→ 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 384 integrations available for Apache Doris and AWS Aurora PostgreSQL.

Popular · 6 of 384
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