Real-time
Two-way sync
Changes in Apache Doris or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Apache Doris to MotherDuck integration — real-time, two-way sync
Keep Apache Doris and MotherDuck 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Doris and MotherDuck
Keep tables consistent across Apache Doris and MotherDuck, for a migration, a multi-warehouse stack, or a dataset two platforms both need.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Apache Doris and MotherDuck continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Common use cases
- 01 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
- 02 Continuously upsert changing records into Unique Key tables so analytics reflect current state rather than append-only history.
- 03 Share curated, synced datasets with other teams through read-only database shares
- 04 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
Common sync patterns
Consolidation after M&A
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
Migration without a big bang
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
Serve tools that only connect to one platform
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
What you can sync between Apache Doris and MotherDuck
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 | MotherDuck objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical containers that scope connections and grants. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | 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 The main landing target for synced records and source for analysis. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Views Modeled projections used as outbound sync sources. | Unique Key Tables is specific to Apache Doris and Views to MotherDuck — 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. | Database Shares Read-only copies of a database shared with other users or teams. | Aggregate Key Tables is specific to Apache Doris and Database Shares to MotherDuck — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Partitions is specific to Apache Doris and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Schemas Namespaces within a database used to organize synced tables. | Materialized Views is specific to Apache Doris and Schemas to MotherDuck — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and MotherDuck
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 MotherDuck 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 MotherDuck as a row-level write, with types converted between the two schemas.
MotherDuck Apache Doris Interval-based propagation
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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.
- MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Apache Doris ⇄ MotherDuck
Connect Apache Doris and MotherDuck for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–MotherDuck connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris or MotherDuck 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 MotherDuck record.
Observability
Monitoring
Track your Apache Doris ⇄ MotherDuck 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 MotherDuck.
How the Apache Doris and MotherDuck 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
MotherDuck
- Integration surface
- SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
- Authentication
- Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
- Change detection
- Polling; no log-based CDC or webhook surface is exposed
- Capabilities
- read · write
- Rate limits
- Subject to the platform's compute and concurrency limits rather than per-request API rate limits
How it works
How to connect Apache Doris to MotherDuck — 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 MotherDuck 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
MotherDuck
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris and MotherDuck 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 ⇄ MotherDuckCustomers 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 MotherDuckCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and MotherDuck integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and MotherDuck: 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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Change detection on Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. On MotherDuck: Polling; no log-based CDC or webhook surface is exposed. 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: Unique Key Tables, Aggregate Key Tables, Partitions, Materialized Views, plus custom fields where Apache Doris exposes them. On the MotherDuck side: Schemas, Tables, Views, Database Shares. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Apache Doris and MotherDuck: Consolidation after M&A; Migration without a big bang; Serve tools that only connect to one platform. Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
-
Apache Doris: MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion. Authentication: Database credentials. MotherDuck: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection. Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults. Stacksync manages authentication, retries, and rate limits on both sides.
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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