Real-time
Two-way sync
Changes in Apache Doris or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Apache Doris to MariaDB integration — real-time, two-way sync
Keep Apache Doris and MariaDB 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 MariaDB
Connect MariaDB 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 MariaDB'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 MariaDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in MariaDB sync into Apache Doris in real time, and result tables in Apache Doris sync back into MariaDB, 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 Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records
- 04 Replicate ERP or billing master data into MariaDB databases that power customer-facing applications
Common sync patterns
Offload heavy reads
Point analytical queries at the synced copy in Apache Doris and keep MariaDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from MariaDB 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 MariaDB, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Apache Doris and MariaDB
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 | MariaDB objects | How this pairing syncs | |
|---|---|---|---|
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | Tables The primary sync target; rows map to records in connected systems. | 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. | Primary and Unique Keys Match keys for idempotent upserts. | Unique Key Tables is specific to Apache Doris and Primary and Unique Keys to MariaDB — 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. | System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | Aggregate Key Tables is specific to Apache Doris and System-Versioned Tables to MariaDB — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | JSON Columns Semi-structured payloads validated with JSON functions. | Partitions is specific to Apache Doris and JSON Columns to MariaDB — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Stored Procedures Server-side logic that can post-process synced rows. | Materialized Views is specific to Apache Doris and Stored Procedures to MariaDB — each maps to any object or custom field on the other side. | |
| Users and Roles Principals used to grant the sync connection scoped access. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Users and Roles is specific to Apache Doris and Databases (Schemas) to MariaDB — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and MariaDB
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 MariaDB 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 MariaDB as a row-level write, with types converted between the two schemas.
MariaDB Apache Doris Sub-second propagation
DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.
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.
- MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Apache Doris ⇄ MariaDB
Connect Apache Doris and MariaDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–MariaDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris or MariaDB 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 MariaDB record.
Observability
Monitoring
Track your Apache Doris ⇄ MariaDB 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 MariaDB.
How the Apache Doris and MariaDB 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
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
How it works
How to connect Apache Doris to MariaDB — 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 MariaDB 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
MariaDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris and MariaDB 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 ⇄ MariaDBCustomers 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 MariaDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and MariaDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and MariaDB: authenticate both systems, choose the objects to sync (such as Apache Doris's Tables and Unique Key Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
-
Common patterns for Apache Doris and MariaDB: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Apache Doris and keep MariaDB focused on its operational workload.
-
Apache Doris: MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion. Authentication: Database credentials. MariaDB: SQL wire protocol (MySQL-compatible client/server protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host). Stacksync manages authentication, retries, and rate limits on both sides.
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Apache Doris: Tables follow explicit data models (duplicate, aggregate, unique key), and the unique key model supports primary-key upserts suited to syncing mutable records. MariaDB: Composite primary keys are not supported (primary key must be a single column). Stacksync's field mapping accounts for these differences between Apache Doris and MariaDB 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 MariaDB records are not retained after a sync operation.
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:
