Real-time
Two-way sync
Changes in MongoDB or Rockset instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
MongoDB to Rockset integration — real-time, two-way sync
Keep MongoDB and Rockset 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 MongoDB and Rockset
Connect MongoDB and Rockset 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 Rockset, 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 Rockset in real time, and result tables in Rockset sync back into MongoDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
- Read query results back into an operational database to expose computed metrics to applications.
- Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
- Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
Offload heavy reads
Point analytical queries at the synced copy in Rockset and keep MongoDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from MongoDB land in Rockset as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Rockset sync into MongoDB, where whatever reads from that database gets them without querying the warehouse.
What you can sync between MongoDB and Rockset
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.
| MongoDB objects | Rockset objects | |
|---|---|---|
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | |
| Indexes Keep lookups by sync key fast on large collections. | Virtual Instances Isolated compute units that separate ingest from query workloads. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Collections Schemaless document containers that ingested and synced records land in. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Workspaces Namespaces that group collections and query lambdas per team or environment. | |
| Databases Logical groupings of collections that scope a sync connection. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. |
What ships with MongoDB ⇄ Rockset
Connect MongoDB and Rockset for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Rockset connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB or Rockset 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 MongoDB or Rockset record.
Observability
Monitoring
Track your MongoDB ⇄ Rockset sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MongoDB and Rockset.
How the MongoDB and Rockset connectors work
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
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
How it works
How to connect MongoDB to Rockset — 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 MongoDB and Rockset with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
MongoDB
connected
Rockset
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB and Rockset 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 · MongoDB ⇄ RocksetCustomers 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.
MongoDB RocksetCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and Rockset integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and Rockset: authenticate both systems, choose the objects to sync (such as MongoDB's Embedded documents and arrays and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Rockset: Its Converged Index stores every field in row, column, and inverted (search) indexes at once, which is why ad-hoc filters and aggregations stay fast without manual index tuning. 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 MongoDB and Rockset 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 MongoDB and Rockset records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MongoDB and Rockset connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MongoDB–Rockset integration in-house.
-
Yes — Stacksync ships production-grade connectors for both MongoDB and Rockset. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection 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. On Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams love 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
CSA STAR
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 386 integrations available for MongoDB and Rockset.
Popular · 8 of 386
-
MongoDB ⇄ Starburst Enterprise -
MongoDB ⇄ StarRocks -
MongoDB ⇄ Teradata Vantage -
MongoDB ⇄ Tinybird -
Rockset ⇄ AWS Aurora MySQL - Rockset ⇄ AWS Aurora PostgreSQL
-
Rockset ⇄ CockroachDB -
Rockset ⇄ Google AlloyDB
No integrations match .
