Real-time
Two-way sync
Changes in Dremio or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to MongoDB integration — real-time, two-way sync
Keep Dremio 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Dremio and MongoDB
Connect MongoDB and Dremio 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 Dremio, 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 Dremio in real time, and result tables in Dremio sync back into MongoDB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- 02 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- 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
Offload heavy reads
Point analytical queries at the synced copy in Dremio and keep MongoDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from MongoDB land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Dremio sync into MongoDB, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Dremio 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.
| Dremio objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Databases Logical groupings of collections that scope a sync connection. | Spaces and folders is specific to Dremio and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Reflections is specific to Dremio and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Jobs Query execution records useful for monitoring sync workloads. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Jobs is specific to Dremio and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Sources is specific to Dremio and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Indexes Keep lookups by sync key fast on large collections. | Physical datasets is specific to Dremio and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Views Read-only aggregation-defined sources for filtered sync datasets. | Virtual datasets (views) is specific to Dremio and Views to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Dremio 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.
Dremio MongoDB Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Dremio 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 Dremio as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
What ships with Dremio ⇄ MongoDB
Connect Dremio and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or MongoDB record.
Observability
Monitoring
Track your Dremio ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and MongoDB.
How the Dremio and MongoDB connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Dremio and MongoDB: authenticate both systems, choose the objects to sync (such as Dremio's Spaces and folders and Reflections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dremio and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–MongoDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dremio and MongoDB. 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 Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. On MongoDB: 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. 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 Dremio side: Reflections, Jobs, Sources, Physical datasets, plus custom fields where Dremio exposes them. On the MongoDB side: GridFS files, Databases, Collections, Documents. 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.
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 468 integrations available for Dremio and MongoDB.
Popular · 6 of 468
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Dremio ⇄ SQL Server -
Dremio ⇄ Airtable -
MongoDB ⇄ Materialize -
MongoDB ⇄ Rockset -
MongoDB ⇄ Starburst Enterprise -
MongoDB ⇄ StarRocks
No integrations match .
