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Database ⇄ Data warehouse

MongoDB to Tinybird integration — real-time, two-way sync

Keep MongoDB and Tinybird 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect MongoDB and Tinybird

Connect MongoDB and Tinybird 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 Tinybird, 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 Tinybird in real time, and result tables in Tinybird sync back into MongoDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
  • Sync order events from an ERP into Tinybird to serve low-latency operational analytics endpoints.
  • Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
  • Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.

Offload heavy reads

Point analytical queries at the synced copy in Tinybird and keep MongoDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from MongoDB land in Tinybird as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Tinybird sync into MongoDB, where whatever reads from that database gets them without querying the warehouse.

What you can sync between MongoDB and Tinybird

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 Tinybird objects
Views Read-only aggregation-defined sources for filtered sync datasets. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird.
Change streams The oplog-backed event feed that powers real-time change capture. Pipes Chained SQL nodes that transform Data Sources into query-ready results.
GridFS files Chunked file storage whose metadata can be referenced by synced documents. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface.
Databases Logical groupings of collections that scope a sync connection. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time.
Collections The table-like sync unit; each collection maps to a table or object in the paired system. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync.
Documents BSON records created, updated, and deleted during syncs, keyed by _id. Tokens Scoped credentials that control read and append rights per resource.
What ships with MongoDB ⇄ Tinybird

Connect MongoDB and Tinybird for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Tinybird connection.

Real-time

Two-way sync

Changes in MongoDB or Tinybird instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MongoDB or Tinybird 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 Tinybird record.

Observability

Monitoring

Track your MongoDB ⇄ Tinybird 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 Tinybird.

How the MongoDB and Tinybird 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
MongoDB setup guide

Tinybird

Integration surface
REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
Authentication
Scoped auth tokens
Change detection
Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
Capabilities
read · write
Rate limits
Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works

How to connect MongoDB to Tinybird — 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.

  1. 01

    Connect your apps

    Authenticate MongoDB and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    MongoDB connected
    Tinybird connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the MongoDB and Tinybird 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · MongoDB ⇄ Tinybird
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    MongoDB Tinybird
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MongoDB and Tinybird integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for MongoDB and Tinybird.

Popular · 8 of 386
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