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

Keep MongoDB and Namely 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 Namely

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

Namely 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: Events, Profiles, Job Titles, Job Tiers in Namely need to exist as queryable Change streams, GridFS files, Databases, Collections 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 Change streams, GridFS files, Databases, Collections in MongoDB with Events, Profiles, Job Titles, Job Tiers in Namely field by field, in real time. You decide which system owns which fields — Namely 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 Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
  • 02 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
  • 03 Feed Namely Reports as JSON into a database on a schedule for roster, turnover, and diversity dashboards without manual CSV exports.
  • 04 Provision or deprovision accounts in an IdP or directory when a Profile's user_status or start_date changes, and write the resulting user ID and email back onto the Profile.

Common sync patterns

Mirror people records into the database

Records maintained in Namely land as queryable Change streams, GridFS files, Databases, Collections 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.

Reporting and analytics on current data

Events, Profiles, Job Titles, Job Tiers replicate into MongoDB where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

What you can sync between MongoDB and Namely

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 Namely objects How this pairing syncs
GridFS files Chunked file storage whose metadata can be referenced by synced documents. Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. GridFS files is specific to MongoDB and Events to Namely — each maps to any object or custom field on the other side.
Databases Logical groupings of collections that scope a sync connection. Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. Databases is specific to MongoDB and Profiles to Namely — each maps to any object or custom field on the other side.
Collections The table-like sync unit; each collection maps to a table or object in the paired system. Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. Collections is specific to MongoDB and Job Titles to Namely — each maps to any object or custom field on the other side.
Documents BSON records created, updated, and deleted during syncs, keyed by _id. Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. Documents is specific to MongoDB and Job Tiers to Namely — 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. Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. Embedded documents and arrays is specific to MongoDB and Groups to Namely — each maps to any object or custom field on the other side.
Indexes Keep lookups by sync key fast on large collections. Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. Indexes is specific to MongoDB and Teams to Namely — each maps to any object or custom field on the other side.

How changes propagate between MongoDB and Namely

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

Namely MongoDB Interval-based propagation

DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.

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

Rate-limit considerations

  • Namely: Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
What ships with MongoDB ⇄ Namely

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MongoDB or Namely 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 Namely record.

Observability

Monitoring

Track your MongoDB ⇄ Namely 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 Namely.

How the MongoDB and Namely 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
MongoDB setup guide

Namely

Integration surface
REST API (JSON over HTTPS)
Authentication
OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1
Change detection
No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes
Capabilities
read · write
Rate limits
Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
How it works

How to connect MongoDB to Namely — 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 MongoDB and Namely 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
    MongoDB connected
    Namely connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the MongoDB and Namely 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 · MongoDB ⇄ Namely
    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
    MongoDB Namely
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MongoDB and Namely 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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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:

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 437 integrations available for MongoDB and Namely.

Popular · 4 of 437
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