Real-time
Two-way sync
Changes in MongoDB or Paylocity instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
MongoDB to Paylocity integration — real-time, two-way sync
Keep MongoDB and Paylocity in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Why teams connect MongoDB and Paylocity
Put your workforce data where your apps can reach it: MongoDB and Paylocity share the same people, positions, and org structure in real time.
Paylocity 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: Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes, Direct Deposit in Paylocity 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 Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes, Direct Deposit in Paylocity field by field, in real time. You decide which system owns which fields — Paylocity 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 Upsert recurring Deductions and Earnings on employee records when benefits or 401(k) elections change in a benefits admin system, without re-keying payroll setup.
- 04 Read Pay Statements and Direct Deposit allocations into a Postgres or warehouse database for labor-cost, GL, and headcount reporting in SQL.
Common sync patterns
Computed and operational fields flow back
Values assembled or corrected in MongoDB write onto the matching record in Paylocity where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Paylocity 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.
What you can sync between MongoDB and Paylocity
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 | Paylocity objects | How this pairing syncs | |
|---|---|---|---|
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Local and State Taxes Two-way via Create/Update/Delete Local Tax and Upsert Primary / Non-Primary State Tax; Get by tax code and Get All for reads. | GridFS files is specific to MongoDB and Local and State Taxes to Paylocity — each maps to any object or custom field on the other side. | |
| Databases Logical groupings of collections that scope a sync connection. | Direct Deposit Read-only: Get All Direct Deposit and Get Employee Bank Accounts return main and additional allocations. Bank details cannot be written through the API. | Databases is specific to MongoDB and Direct Deposit to Paylocity — 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. | Pay Statements Read-only detailed payroll statement data — earnings, deductions, taxes, and direct deposit allocations by year, check date, or date range. Pulled for reporting, never written. | Collections is specific to MongoDB and Pay Statements to Paylocity — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. | Documents is specific to MongoDB and Company Codes to Paylocity — 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. | Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. | Embedded documents and arrays is specific to MongoDB and Custom Fields to Paylocity — each maps to any object or custom field on the other side. | |
| Indexes Keep lookups by sync key fast on large collections. | Employees Core HR record keyed by companyId + employeeId; two-way via Create New Employee (POST) and Update Employee (PATCH), plus Get Employee / Get All Employees for reads. | Indexes is specific to MongoDB and Employees to Paylocity — each maps to any object or custom field on the other side. |
How changes propagate between MongoDB and Paylocity
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 Paylocity 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 Paylocity through its API, with automatic retries and rate-limit backoff.
Paylocity MongoDB Sub-second propagation
DetectionPaylocity notifies Stacksync of record changes through webhook events. Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Paylocity: 25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
What ships with MongoDB ⇄ Paylocity
Connect MongoDB and Paylocity for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Paylocity connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB or Paylocity 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 Paylocity record.
Observability
Monitoring
Track your MongoDB ⇄ Paylocity 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 Paylocity.
How the MongoDB and Paylocity 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
Paylocity
- Integration surface
- REST API (v1 and v2), JSON payloads
- Authentication
- OAuth 2.0 client credentials via the Paylocity Identity Provider (/IdentityServer/connect/token) with the WebLinkAPI scope; access tokens expire after one hour and API access must be enabled by Paylocity for the company
- Change detection
- Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL; payloads carry only companyId and employeeId, so the receiver calls the relevant API to fetch changed values. Scheduled polling is used for objects without webhooks.
- Capabilities
- read · write · webhooks
- Rate limits
- 25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
How it works
How to connect MongoDB to Paylocity — 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.
- 01
Connect your apps
Authenticate MongoDB and Paylocity with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
MongoDB
connected
Paylocity
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB and Paylocity 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.
objects · MongoDB ⇄ PaylocityCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
MongoDB PaylocityCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and Paylocity integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and Paylocity: authenticate both systems, choose the objects to sync (such as MongoDB's GridFS files and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the MongoDB side: Change streams, GridFS files, Databases, Collections, plus custom fields where MongoDB exposes them. On the Paylocity side: Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes, Direct Deposit. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for MongoDB and Paylocity: Computed and operational fields flow back; Mirror people records into the database; One directory of record. Values assembled or corrected in MongoDB write onto the matching record in Paylocity where those fields are writable, keeping the people system enriched.
-
MongoDB: 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. Paylocity: REST API (v1 and v2), JSON payloads. Authentication: OAuth 2.0 client credentials via the Paylocity Identity Provider (/IdentityServer/connect/token) with the WebLinkAPI scope; access tokens expire after one hour and API access must be enabled by Paylocity for the company. Stacksync manages authentication, retries, and rate limits on both sides.
-
MongoDB: Documents are schemaless BSON with a 16 MB size limit, so field mappings must tolerate documents that differ in shape within one collection. Paylocity: The rate limit is 25 calls per second (1,500 per minute); full-employee reads must be paged and throttled to avoid HTTP 429 errors. Stacksync's field mapping accounts for these differences between MongoDB and Paylocity without custom code.
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 MongoDB and Paylocity.
Popular · 8 of 540
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MongoDB ⇄ Oracle Fusion Cloud HCM -
MongoDB ⇄ Smartrecruiters -
MongoDB ⇄ Ukg Pro -
MongoDB ⇄ Greenhouse -
Paylocity ⇄ Jdbc -
Paylocity ⇄ Render Postgres -
Paylocity ⇄ PostgreSQL -
Paylocity ⇄ Amazon RDS
No integrations match .
