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Human resources ⇄ Database

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

Keep Jobvite 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Jobvite and MongoDB

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

Jobvite 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: Employee, Attachment, Offer, Candidate in Jobvite need to exist as queryable Embedded documents and arrays, Indexes, Views, Change streams 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 Embedded documents and arrays, Indexes, Views, Change streams in MongoDB with Employee, Attachment, Offer, Candidate in Jobvite field by field, in real time. You decide which system owns which fields — Jobvite 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 Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
  • 02 Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
  • 03 Push headcount-approved Requisitions from an internal planning database into Jobvite via POST /job so approved roles post to the career site automatically.
  • 04 Consolidate Applications, Offers, and Workflow Status into a warehouse for time-to-fill and funnel reporting across every requisition.

Common sync patterns

Mirror people records into the database

Records maintained in Jobvite land as queryable Embedded documents and arrays, Indexes, Views, Change streams 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

Employee, Attachment, Offer, Candidate 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 Jobvite 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.

Jobvite objects MongoDB objects How this pairing syncs
Offer Offer state tied to an application (extended, accepted, declined); read out for offer-acceptance reporting and written to downstream comp or HR systems. Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. Offer is specific to Jobvite and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side.
Candidate Read from the candidate feed (GET /candidate) and written back via POST /candidate/updateCandidates to change status, notes, and disposition on each record. Indexes Keep lookups by sync key fast on large collections. Candidate is specific to Jobvite and Indexes to MongoDB — each maps to any object or custom field on the other side.
Requisition (Job) Job openings created or updated through POST /job and read from GET /jobFeed; maps to opening tables in an ATS reporting warehouse. Views Read-only aggregation-defined sources for filtered sync datasets. Requisition (Job) is specific to Jobvite and Views to MongoDB — each maps to any object or custom field on the other side.
Application Links a candidate to one requisition with its workflow state; read for pipeline reporting and status written back through the candidate update call. Change streams The oplog-backed event feed that powers real-time change capture. Application is specific to Jobvite and Change streams to MongoDB — each maps to any object or custom field on the other side.
Workflow Status The pipeline stage per application (Screen, Interview, Offer, Hired); updated through POST /candidate/updateCandidates to advance records. GridFS files Chunked file storage whose metadata can be referenced by synced documents. Workflow Status is specific to Jobvite and GridFS files to MongoDB — each maps to any object or custom field on the other side.
New Hire Hired-candidate records surfaced in the candidate feed and via the candidate hired webhook; commonly written into an HRIS or onboarding tool. Databases Logical groupings of collections that scope a sync connection. New Hire is specific to Jobvite and Databases to MongoDB — each maps to any object or custom field on the other side.

How changes propagate between Jobvite 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.

Jobvite MongoDB Sub-second propagation

DetectionJobvite notifies Stacksync of record changes through webhook events. A candidate hired webhook, configured per customer by a Jobvite rep, POSTs to a custom URL on hire/offer-accepted events.

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

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

Rate-limit considerations

  • Jobvite: Roughly 15 requests per minute and 850 per hour, reset at midnight Pacific, with per-endpoint daily caps (e.g. 20,000/day candidate GET/PUT, 500/day employee sync); 429 on exceed.
What ships with Jobvite ⇄ MongoDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jobvite 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 Jobvite or MongoDB record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Jobvite and MongoDB connectors work

Jobvite

Integration surface
REST API (JSON) with candidate, requisition (job), and employee feed endpoints under https://api.jobvite.com/{version}
Authentication
API key (api) and secret (sc) plus company ID (companyId), sent in request headers since Jobvite's April 1, 2024 move from URL-query to header-based auth. Credentials are provisioned per customer by Jobvite Support.
Change detection
A candidate hired webhook, configured per customer by a Jobvite rep, POSTs to a custom URL on hire/offer-accepted events; otherwise Stacksync polls the candidate and job feeds on a schedule and diffs results, since records carry no per-item modified-date filter.
Capabilities
read · write · webhooks
Rate limits
Roughly 15 requests per minute and 850 per hour, reset at midnight Pacific, with per-endpoint daily caps (e.g. 20,000/day candidate GET/PUT, 500/day employee sync); 429 on exceed.
Jobvite setup guide

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

    Choose tables

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

Jobvite 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 540 integrations available for Jobvite and MongoDB.

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