Two-way sync
Changes in Hibob or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Hibob 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.
Hibob is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. MongoDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Salaries, Time off, Lifecycle, Documents in Hibob need to exist as queryable Indexes, Views, Change streams, GridFS files in MongoDB before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.
Stacksync syncs Indexes, Views, Change streams, GridFS files in MongoDB with Salaries, Time off, Lifecycle, Documents in Hibob field by field, in real time. You decide which system owns which fields — Hibob typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.
The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.
Records maintained in Hibob land as queryable Indexes, Views, Change streams, GridFS files in MongoDB, so internal apps and dashboards read live data instead of a periodic export.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
Salaries, Time off, Lifecycle, Documents replicate into MongoDB where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
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.
| Hibob objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Documents Employee documents accessed under the Docs API; gated behind the Documents permission granted per service user. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Named lists Dropdown option lists such as departments and sites used to resolve field values when mapping People records during sync. | Indexes Keep lookups by sync key fast on large collections. | Named lists is specific to Hibob and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| People (Employees) Core employee records with out-of-the-box and custom fields; read via POST /people/search, created and updated through the /people endpoints. | Views Read-only aggregation-defined sources for filtered sync datasets. | People (Employees) is specific to Hibob and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Employment Historical table of job terms, contract, and working pattern under /people/{id}/employment; full CRUD, entries keyed by effectiveDate. | Change streams The oplog-backed event feed that powers real-time change capture. | Employment is specific to Hibob and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Work is specific to Hibob and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Salaries Compensation history at /people/{id}/salaries; full CRUD but gated behind the Payroll permission on the service user. | Databases Logical groupings of collections that scope a sync connection. | Salaries is specific to Hibob and Databases 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.
DetectionHibob notifies Stacksync of record changes through webhook events. Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events.
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 Hibob through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Hibob–MongoDB connection.
Changes in Hibob or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Hibob 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 Hibob or MongoDB record.
Track your Hibob ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Hibob 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 Hibob 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 Hibob 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 Hibob and MongoDB: authenticate both systems, choose the objects to sync (such as Hibob's Documents and Named lists), 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 Hibob and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Hibob–MongoDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Hibob and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Hibob: Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events; the employee.updated payload flags which fields changed and Bob recommends an API call for the full record. There is no CDC stream, and deleting a table entry fires no webhook (Bob has no table-entry deletion event). 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 MongoDB side: Indexes, Views, Change streams, GridFS files, plus custom fields where MongoDB exposes them. On the Hibob side: Salaries, Time off, Lifecycle, Documents. 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 540 integrations available for Hibob and MongoDB.