Real-time
Two-way sync
Changes in Amazon Aurora or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Amazon Aurora to Apache Doris integration — real-time, two-way sync
Keep Amazon Aurora and Apache Doris 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon Aurora and Apache Doris
Connect Amazon Aurora 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 Amazon Aurora'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 Amazon Aurora where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Amazon Aurora sync into Apache Doris in real time, and result tables in Apache Doris sync back into Amazon Aurora, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Consolidate event and transactional data from multiple sources into one real-time OLAP layer.
- 02 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
- 03 Consolidate several Aurora clusters into one reporting database.
- 04 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Apache Doris sync into Amazon Aurora, 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.
Offload heavy reads
Point analytical queries at the synced copy in Apache Doris and keep Amazon Aurora focused on its operational workload.
What you can sync between Amazon Aurora and Apache Doris
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 | Apache Doris objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical databases within a cluster that scope a sync connection. | Databases Logical containers that scope connections and grants. | 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 Columnar tables in one of Doris's table models, used as sync destinations. | 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 views readable for downstream syncs and BI. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Partitions Range or list partitions that bound incremental loads. | Schemas is specific to Amazon Aurora and Partitions to Apache Doris — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | Users and Roles Principals used to grant the sync connection scoped access. | Views is specific to Amazon Aurora and Users and Roles to Apache Doris — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Columns and Data Types is specific to Amazon Aurora and Unique Key Tables to Apache Doris — each maps to any object or custom field on the other side. |
How changes propagate between Amazon Aurora and Apache Doris
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 Apache Doris 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 Apache Doris as a row-level write, with types converted between the two schemas.
Apache Doris Amazon Aurora 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 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.
- Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
What ships with Amazon Aurora ⇄ Apache Doris
Connect Amazon Aurora and Apache Doris for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Apache Doris connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon Aurora or Apache Doris 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 Apache Doris record.
Observability
Monitoring
Track your Amazon Aurora ⇄ Apache Doris 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 Apache Doris.
How the Amazon Aurora and Apache Doris 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
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
How it works
How to connect Amazon Aurora to Apache Doris — 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 Amazon Aurora and Apache Doris with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Amazon Aurora
connected
Apache Doris
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon Aurora and Apache Doris 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 · Amazon Aurora ⇄ Apache DorisCustomers 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.
Amazon Aurora Apache DorisCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon Aurora and Apache Doris integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon Aurora and Apache Doris: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Amazon Aurora and Apache Doris records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Apache Doris connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Apache Doris integration in-house.
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Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Apache Doris. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Apache Doris side: Partitions, Materialized Views, Users and Roles, Databases, plus custom fields where Apache Doris exposes them. On the Amazon Aurora side: Views, Materialized Views, Columns and Data Types, Primary and Foreign Keys. Stacksync auto-detects both schemas and converts types between the two systems.
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
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