Real-time
Two-way sync
Changes in MongoDB or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Database
MongoDB to Scaleway Postgres integration — real-time, two-way sync
Keep MongoDB and Scaleway Postgres 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect MongoDB and Scaleway Postgres
Keep MongoDB and Scaleway Postgres synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between MongoDB and Scaleway Postgres continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- 02 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- 03 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
- 04 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
Common sync patterns
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between MongoDB and Scaleway Postgres
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only aggregation-defined sources for filtered sync datasets. | Views Read-only sources for shaping data before it leaves the database. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Change streams is specific to MongoDB and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | GridFS files is specific to MongoDB and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Databases Logical groupings of collections that scope a sync connection. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Databases is specific to MongoDB and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Collections is specific to MongoDB and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Documents is specific to MongoDB and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between MongoDB and Scaleway Postgres
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.
MongoDB Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres MongoDB Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with MongoDB ⇄ Scaleway Postgres
Connect MongoDB and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB or Scaleway Postgres 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 Scaleway Postgres record.
Observability
Monitoring
Track your MongoDB ⇄ Scaleway Postgres 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 Scaleway Postgres.
How the MongoDB and Scaleway Postgres 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
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect MongoDB to Scaleway Postgres — 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 Scaleway Postgres 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
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB and Scaleway Postgres 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 ⇄ Scaleway PostgresCustomers 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 Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as MongoDB's Views and Change streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
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MongoDB: Documents are schemaless BSON with a 16 MB size limit, so field mappings must tolerate documents that differ in shape within one collection. Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Stacksync's field mapping accounts for these differences between MongoDB and Scaleway Postgres 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 MongoDB and Scaleway Postgres records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed MongoDB and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MongoDB–Scaleway Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both MongoDB and Scaleway Postgres. 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 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 Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 477 integrations available for MongoDB and Scaleway Postgres.
Popular · 8 of 477
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MongoDB ⇄ Citus -
MongoDB ⇄ Couchbase -
MongoDB ⇄ DuckDB -
MongoDB ⇄ Elasticsearch -
Scaleway Postgres ⇄ SQL Server -
Scaleway Postgres ⇄ Postgres Heroku -
Scaleway Postgres ⇄ Airtable -
Scaleway Postgres ⇄ AWS Aurora MySQL
No integrations match .
