Real-time
Two-way sync
Changes in Apache Doris or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Apache Doris to MongoDB integration — real-time, two-way sync
Keep Apache Doris and MongoDB 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 Apache Doris and MongoDB
Connect MongoDB 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 MongoDB'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 MongoDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in MongoDB sync into Apache Doris in real time, and result tables in Apache Doris sync back into MongoDB, with schema and type mapping between the two systems handled for you.
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 Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
- 04 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from MongoDB 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 MongoDB, 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 MongoDB
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 | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical containers that scope connections and grants. | Databases Logical groupings of collections that scope a sync connection. | 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. | Views Read-only aggregation-defined sources for filtered sync datasets. | Tables is specific to Apache Doris and Views to MongoDB — 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. | Change streams The oplog-backed event feed that powers real-time change capture. | Unique Key Tables is specific to Apache Doris and Change streams to MongoDB — 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. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Aggregate Key Tables is specific to Apache Doris and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Partitions is specific to Apache Doris and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Materialized Views is specific to Apache Doris and Documents to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and MongoDB
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 MongoDB 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 MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Apache Doris Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
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 ⇄ MongoDB
Connect Apache Doris and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris or MongoDB 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 MongoDB record.
Observability
Monitoring
Track your Apache Doris ⇄ MongoDB 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 MongoDB.
How the Apache Doris and MongoDB 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
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Apache Doris to MongoDB — 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 MongoDB 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
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris and MongoDB 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 ⇄ MongoDBCustomers 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 MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and MongoDB: 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.
-
Apache Doris: MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion. Authentication: Database credentials. MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
-
Apache Doris: Doris speaks the MySQL wire protocol, so standard MySQL clients and drivers connect to it without special adapters. MongoDB: Change streams expose ordered change events with resume tokens, so an interrupted sync can pick up exactly where it stopped without a full re-read. Stacksync's field mapping accounts for these differences between Apache Doris and MongoDB without custom code.
-
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 MongoDB records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Doris and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Doris–MongoDB integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Apache Doris and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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
Every pair below is a real-time, two-way sync. Search all 470 integrations available for Apache Doris and MongoDB.
Popular · 4 of 470
No integrations match .
