Real-time
Two-way sync
Changes in MongoDB or Treasuredata instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
MongoDB to Treasuredata integration — real-time, two-way sync
Keep MongoDB and Treasuredata 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 MongoDB and Treasuredata
Give Treasuredata the users, events, and records that live in MongoDB in real time, and sync the cohorts and scores Treasuredata computes back into MongoDB where your applications read them.
A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Treasuredata is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from MongoDB into Treasuredata usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.
Stacksync syncs Embedded documents and arrays, Indexes, Views, Change streams in MongoDB with Predictive Segments, Scheduled Queries, Query Jobs, Databases in Treasuredata in real time and in both directions. Operational rows flow into Treasuredata as they change, so dashboards read current data with no pipeline to maintain, and the segments, cohorts, or scores Treasuredata computes flow back into MongoDB, where the applications and services that read from it get them at normal query latency. Field-level mapping, schema and type translation, and conflict resolution are handled for you.
Common use cases
- 01 Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.
- 02 Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
- 03 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- 04 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
Common sync patterns
Analytics on live operational data, minus the pipeline
The users, events, orders, and records stored in MongoDB land in Treasuredata as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
One version of each user or account
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
Filter and grouping dimensions kept fresh
Attributes teams slice by, such as plan, region, or account owner, stay current in Treasuredata because they sync from MongoDB as they change, instead of going stale after a one-time import.
What you can sync between MongoDB and Treasuredata
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 | Treasuredata objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical groupings of collections that scope a sync connection. | Databases Logical containers for tables; a sync targets one database and maps its tables to warehouse or operational-DB tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Tables Columnar log tables in TD's Plazma storage; every row carries a mandatory `time` column (Unix epoch) that Stacksync uses as the incremental watermark and partition key. Synced two-way with warehouse or database tables. | Collections is specific to MongoDB and Tables to Treasuredata — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Master (Parent) Segments Unified customer profiles assembled from multiple source tables in Audience Studio; read out to push enriched attributes onto CRM or warehouse records. | Documents is specific to MongoDB and Master (Parent) Segments to Treasuredata — each maps to any object or custom field on the other side. | |
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Segments Campaign subsets of a parent segment; membership read out to activate audiences in downstream systems, or audience flags written back onto records. | Embedded documents and arrays is specific to MongoDB and Segments to Treasuredata — each maps to any object or custom field on the other side. | |
| Indexes Keep lookups by sync key fast on large collections. | Journeys Timeline-based event sequences in Audience Studio; stage and membership read out for reporting and cross-system activation. | Indexes is specific to MongoDB and Journeys to Treasuredata — each maps to any object or custom field on the other side. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Predictive Segments AI/ML-scored segments; propensity scores read out and written onto customer records in a CRM or database for prioritization. | Views is specific to MongoDB and Predictive Segments to Treasuredata — each maps to any object or custom field on the other side. |
How changes propagate between MongoDB and Treasuredata
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 Treasuredata 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 written to Treasuredata through its API, with automatic retries and rate-limit backoff.
Treasuredata MongoDB Interval-based propagation
DetectionStacksync polls Treasuredata for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Treasuredata: TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs.
What ships with MongoDB ⇄ Treasuredata
Connect MongoDB and Treasuredata for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Treasuredata connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB or Treasuredata 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 Treasuredata record.
Observability
Monitoring
Track your MongoDB ⇄ Treasuredata 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 Treasuredata.
How the MongoDB and Treasuredata 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
Treasuredata
- Integration surface
- TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys
- Authentication
- API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints)
- Change detection
- Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark
- Capabilities
- read · write
- Rate limits
- TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs
How it works
How to connect MongoDB to Treasuredata — 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 Treasuredata 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
Treasuredata
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB and Treasuredata 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 ⇄ TreasuredataCustomers 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 TreasuredataCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and Treasuredata integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and Treasuredata: authenticate both systems, choose the objects to sync (such as MongoDB's Databases and Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both MongoDB and Treasuredata. 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 Treasuredata: Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Treasuredata side: Predictive Segments, Scheduled Queries, Query Jobs, Databases, plus custom fields where Treasuredata exposes them. On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams. 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.
-
Common patterns for MongoDB and Treasuredata: Analytics on live operational data, minus the pipeline; One version of each user or account; Filter and grouping dimensions kept fresh. The users, events, orders, and records stored in MongoDB land in Treasuredata as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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 414 integrations available for MongoDB and Treasuredata.
Popular · 7 of 414
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MongoDB ⇄ Pendo -
MongoDB ⇄ Splunk -
MongoDB ⇄ Mixpanel -
MongoDB ⇄ Microsoft Power Bi -
Treasuredata ⇄ PostgreSQL -
Treasuredata ⇄ Supabase -
Treasuredata ⇄ MySQL
No integrations match .
