Real-time
Two-way sync
Changes in MongoDB or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Database
MongoDB to TimescaleDB integration — real-time, two-way sync
Keep MongoDB and TimescaleDB 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 TimescaleDB
Keep MongoDB and TimescaleDB 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 TimescaleDB 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
- 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.
- Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both MongoDB and TimescaleDB, so each workload runs on the engine that suits it.
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.
What you can sync between MongoDB and TimescaleDB
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 | TimescaleDB objects | |
|---|---|---|
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Indexes Keep lookups by sync key fast on large collections. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Views Standard SQL views used to shape or filter data for consumers. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Databases Logical groupings of collections that scope a sync connection. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. |
What ships with MongoDB ⇄ TimescaleDB
Connect MongoDB and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your MongoDB ⇄ TimescaleDB 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 TimescaleDB.
How the MongoDB and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect MongoDB to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and TimescaleDB: 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.
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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.
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Common patterns for MongoDB and TimescaleDB: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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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. TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. Stacksync's field mapping accounts for these differences between MongoDB and TimescaleDB 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 TimescaleDB records are not retained after a sync operation.
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 TimescaleDB.
Popular · 8 of 386
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MongoDB ⇄ MySQL -
MongoDB ⇄ MariaDB -
MongoDB ⇄ SQL Server -
MongoDB ⇄ Postgres Heroku -
TimescaleDB ⇄ Couchbase -
TimescaleDB ⇄ DuckDB -
TimescaleDB ⇄ Elasticsearch -
TimescaleDB ⇄ Google Cloud Spanner
No integrations match .
