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Human resources ⇄ Database

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

Keep BambooHR 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.

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Why teams connect BambooHR and MongoDB

Put your workforce data where your apps can reach it: MongoDB and BambooHR share the same people, positions, and org structure in real time.

BambooHR 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: Employees, Job Information, Compensation, Time Off in BambooHR need to exist as queryable Documents, Embedded documents and arrays, Indexes, Views 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 Documents, Embedded documents and arrays, Indexes, Views in MongoDB with Employees, Job Information, Compensation, Time Off in BambooHR field by field, in real time. You decide which system owns which fields — BambooHR 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.

Common use cases

  • 01 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
  • 02 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
  • 03 Sync Employees and Employment Status to identity and IT systems so new hires are provisioned and departures deactivated automatically.
  • 04 Read Job Information and Departments into an ERP or planning tool so headcount, cost centers, and org structure stay current.

Common sync patterns

Computed and operational fields flow back

Values assembled or corrected in MongoDB write onto the matching record in BambooHR where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in BambooHR land as queryable Documents, Embedded documents and arrays, Indexes, Views in MongoDB, so internal apps and dashboards read live data instead of a periodic export.

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

What you can sync between BambooHR and MongoDB

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.

BambooHR objects MongoDB objects How this pairing syncs
Employment Status Effective-dated hire, leave, and termination status; drives automated provisioning and deprovisioning in downstream identity and license systems. Change streams The oplog-backed event feed that powers real-time change capture. Employment Status is specific to BambooHR and Change streams to MongoDB — each maps to any object or custom field on the other side.
Departments and Divisions Org-structure list values; synced to keep cost centers and team groupings consistent across ERP, identity, and analytics systems. GridFS files Chunked file storage whose metadata can be referenced by synced documents. Departments and Divisions is specific to BambooHR and GridFS files to MongoDB — each maps to any object or custom field on the other side.
Custom Tables Company-specific effective-dated tables (assets, training, certifications); rows read and written so custom HR data isn't trapped in the HRIS. Databases Logical groupings of collections that scope a sync connection. Custom Tables is specific to BambooHR and Databases to MongoDB — each maps to any object or custom field on the other side.
Reports Saved company reports retrievable via API; read out on a schedule to feed a warehouse without rebuilding field-by-field queries. Collections The table-like sync unit; each collection maps to a table or object in the paired system. Reports is specific to BambooHR and Collections to MongoDB — each maps to any object or custom field on the other side.
Employees The core person record with personal and work fields; read out to identity, payroll, and IT systems, and written back from recruiting or onboarding tools. Documents BSON records created, updated, and deleted during syncs, keyed by _id. Employees is specific to BambooHR and Documents to MongoDB — each maps to any object or custom field on the other side.
Job Information Effective-dated job title, department, division, location, and reporting line; synced so org charts and provisioning systems track internal moves. Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. Job Information is specific to BambooHR and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side.

How changes propagate between BambooHR and MongoDB

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.

BambooHR MongoDB Sub-second propagation

DetectionBambooHR notifies Stacksync of record changes through webhook events. The Get Updated Employee IDs endpoint (last-changed timestamps) returns employees inserted, updated, or deleted since a cursor for efficient polling.

DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.

MongoDB BambooHR 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 BambooHR through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • BambooHR: Requests are rate-limited per API key with standard REST throttling (429 on excess); bulk reads are best done through saved Reports or the updated-IDs delta endpoint rather than per-employee calls.
What ships with BambooHR ⇄ MongoDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BambooHR or MongoDB 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 BambooHR or MongoDB record.

Observability

Monitoring

Track your BambooHR ⇄ MongoDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BambooHR and MongoDB.

How the BambooHR and MongoDB connectors work

BambooHR

Integration surface
BambooHR API (REST, per-company subdomain)
Authentication
API key per user over HTTP Basic auth (key as username), scoped to that user's permission level in BambooHR; OAuth/OpenID available for SSO-enabled apps
Change detection
The Get Updated Employee IDs endpoint (last-changed timestamps) returns employees inserted, updated, or deleted since a cursor for efficient polling; webhooks can fire on monitored field changes
Capabilities
read · write · webhooks
Rate limits
Requests are rate-limited per API key with standard REST throttling (429 on excess); bulk reads are best done through saved Reports or the updated-IDs delta endpoint rather than per-employee calls.

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
How it works

How to connect BambooHR to MongoDB — 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 BambooHR 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.

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

    Choose tables

    Pick the BambooHR 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BambooHR ⇄ MongoDB
    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
    BambooHR MongoDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BambooHR and MongoDB integration FAQ

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.

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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 448 integrations available for BambooHR and MongoDB.

Popular · 8 of 448
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