Two-way sync
Changes in Attio or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Attio 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.
Syncing Attio to MongoDB gives product and engineering teams an operational mirror of CRM data in the database their applications already use. Attio People, Companies, and Deals replicate into MongoDB Collections as Documents, and writes to those Documents flow back into Attio.
Stacksync mirrors Companies, Users, Deals, Workspaces from Attio into Embedded documents and arrays, Indexes, Views, Change streams in MongoDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Attio with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Attio People, Companies, and Deals sync into MongoDB Collections, including nested data as embedded documents and arrays
Document updates written by your application propagate back to Attio records and Custom objects
Indexes and Views over synced Collections serve CRM data to product features at application speed
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.
| Attio objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| People Standard person object; synced with marketing tools and warehouse person tables. | Indexes Keep lookups by sync key fast on large collections. | People is specific to Attio and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Views Read-only aggregation-defined sources for filtered sync datasets. | Companies is specific to Attio and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Change streams The oplog-backed event feed that powers real-time change capture. | Users is specific to Attio and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Deals Pipeline records; read out for revenue reporting and written to from automation. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Deals is specific to Attio and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Databases Logical groupings of collections that scope a sync connection. | Workspaces is specific to Attio and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Custom objects Workspace-defined objects that behave like standard ones in the API. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Custom objects is specific to Attio and Collections 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.
DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.
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 Attio through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–MongoDB connection.
Changes in Attio or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Attio 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 Attio or MongoDB record.
Track your Attio ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Attio 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 Attio 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 Attio 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 Attio and MongoDB: authenticate both systems, choose the objects to sync (such as Attio's People and Companies), map fields visually, and changes propagate both ways in milliseconds — no code required.
Attio: The data model is user-definable: standard objects like people and companies coexist with custom objects, and attributes can be added to any object, so syncs read the schema at runtime. MongoDB: Replica set configuration is required even for a single node — standalone MongoDB cannot be change-tracked. Stacksync's field mapping accounts for these differences between Attio and MongoDB without custom code.
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 Attio and MongoDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Attio and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Attio–MongoDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Attio and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Attio: Webhooks on record and list-entry events, with polling as a fallback. 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.
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 564 integrations available for Attio and MongoDB.