Real-time
Two-way sync
Changes in Apache Doris or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Apache Doris to Google AlloyDB integration — real-time, two-way sync
Keep Apache Doris and Google AlloyDB 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Apache Doris and Google AlloyDB
Connect Google AlloyDB 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 Google AlloyDB'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 Google AlloyDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Google AlloyDB sync into Apache Doris in real time, and result tables in Apache Doris sync back into Google AlloyDB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Continuously upsert changing records into Unique Key tables so analytics reflect current state rather than append-only history.
- 02 Read aggregates from Doris and sync them into business tools like CRMs or spreadsheets.
- 03 Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
- 04 Use logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.
Common sync patterns
Offload heavy reads
Point analytical queries at the synced copy in Apache Doris and keep Google AlloyDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Google AlloyDB 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 Google AlloyDB, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Apache Doris and Google AlloyDB
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 | Google AlloyDB objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical containers that scope connections and grants. | Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | Tables Primary read/write target for bi-directional sync with CRMs and other systems. | 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. | Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Schemas Namespaces used to separate synced SaaS data from application tables. | Aggregate Key Tables is specific to Apache Doris and Schemas to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | Views Curated projections used as read-only sync sources. | Partitions is specific to Apache Doris and Views to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Users and Roles Principals used to grant the sync connection scoped access. | Indexes Keep sync key lookups fast on high-volume tables. | Users and Roles is specific to Apache Doris and Indexes to Google AlloyDB — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and Google AlloyDB
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 Google AlloyDB 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 Google AlloyDB as a row-level write, with types converted between the two schemas.
Google AlloyDB Apache Doris Sub-second propagation
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
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.
- Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with Apache Doris ⇄ Google AlloyDB
Connect Apache Doris and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris or Google AlloyDB 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 Google AlloyDB record.
Observability
Monitoring
Track your Apache Doris ⇄ Google AlloyDB 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 Google AlloyDB.
How the Apache Doris and Google AlloyDB 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
Google AlloyDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API-style rate limits; throughput is bounded by instance size
How it works
How to connect Apache Doris to Google AlloyDB — 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 Apache Doris and Google AlloyDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Doris
connected
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris and Google AlloyDB 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 · Apache Doris ⇄ Google AlloyDBCustomers 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.
Apache Doris Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and Google AlloyDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and Google AlloyDB: authenticate both systems, choose the objects to sync (such as Apache Doris's Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Apache Doris: Doris speaks the MySQL wire protocol, so standard MySQL clients and drivers connect to it without special adapters. Google AlloyDB: It supports PostgreSQL logical replication, enabling log-based change capture from the write-ahead log. Stacksync's field mapping accounts for these differences between Apache Doris and Google AlloyDB 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 Apache Doris and Google AlloyDB 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 Apache Doris and Google AlloyDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Doris–Google AlloyDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Doris and Google AlloyDB. 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 Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. On Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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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