Two-way sync
Changes in Braze or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Braze and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Braze through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in MongoDB.
Stacksync mirrors Custom Attributes, Custom Events, Purchases, Segments from Braze into Views, Change streams, GridFS files, Databases in MongoDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Braze, so the tool and the database never disagree.
Updates in Braze arrive as row changes in MongoDB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Braze are ordinary rows in MongoDB; join them, index them, and use them in application logic without touching the vendor API.
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.
| Braze objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Campaigns Message sends whose metadata and analytics are read for reporting. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Campaigns is specific to Braze and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Canvases is specific to Braze and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Subscription Groups Channel-level opt-in states synced with consent records in other systems. | Indexes Keep lookups by sync key fast on large collections. | Subscription Groups is specific to Braze and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Content Blocks Reusable message content referenced across campaigns. | Views Read-only aggregation-defined sources for filtered sync datasets. | Content Blocks is specific to Braze and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | Change streams The oplog-backed event feed that powers real-time change capture. | Users is specific to Braze and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Custom Attributes is specific to Braze and GridFS files to MongoDB — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
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 Braze through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–MongoDB connection.
Changes in Braze or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Braze or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Braze or MongoDB record.
Track your Braze ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Braze and MongoDB.
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.
Authenticate Braze and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Braze and MongoDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Braze and MongoDB: authenticate both systems, choose the objects to sync (such as Braze's Campaigns and Canvases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Braze and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Braze–MongoDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Braze and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Braze side: Custom Attributes, Custom Events, Purchases, Segments, plus custom fields where Braze exposes them. On the MongoDB side: Views, Change streams, GridFS files, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 533 integrations available for Braze and MongoDB.