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Human resources ⇄ Database

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

Keep BambooHR and PostgreSQL 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 PostgreSQL

Put your workforce data where your apps can reach it: PostgreSQL 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. PostgreSQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Custom Tables, Reports, Employees, Job Information in BambooHR need to exist as queryable Sequences, Custom Types and Enums, Tables, Views in PostgreSQL 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 Sequences, Custom Types and Enums, Tables, Views in PostgreSQL with Custom Tables, Reports, Employees, Job Information 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 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • 02 Let an application write to its own database and have those rows appear as records in business systems in near real time
  • 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

Mirror people records into the database

Records maintained in BambooHR land as queryable Sequences, Custom Types and Enums, Tables, Views in PostgreSQL, 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

Custom Tables, Reports, Employees, Job Information replicate into PostgreSQL where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

What you can sync between BambooHR and PostgreSQL

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 PostgreSQL objects How this pairing syncs
Job Information Effective-dated job title, department, division, location, and reporting line; synced so org charts and provisioning systems track internal moves. Columns Field-level mapping targets; types are mapped to the connected system's field types. Job Information is specific to BambooHR and Columns to PostgreSQL — each maps to any object or custom field on the other side.
Compensation Effective-dated pay rate, schedule, and change reason; read into planning and payroll systems with access restricted to authorized fields. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Compensation is specific to BambooHR and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.
Time Off Requests, balances, and policies; read for absence calendars and capacity planning, with approved requests written from an external scheduling tool. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Time Off is specific to BambooHR and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
Employment Status Effective-dated hire, leave, and termination status; drives automated provisioning and deprovisioning in downstream identity and license systems. Sequences Generate surrogate keys for rows created by inbound syncs. Employment Status is specific to BambooHR and Sequences to PostgreSQL — 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. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Departments and Divisions is specific to BambooHR and Custom Types and Enums to PostgreSQL — 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. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Custom Tables is specific to BambooHR and Tables to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between BambooHR and PostgreSQL

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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL BambooHR Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with BambooHR ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BambooHR or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your BambooHR ⇄ PostgreSQL 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 PostgreSQL.

How the BambooHR and PostgreSQL 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.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect BambooHR to PostgreSQL — 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 PostgreSQL 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
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BambooHR and PostgreSQL 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 ⇄ PostgreSQL
    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 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BambooHR and PostgreSQL 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 453 integrations available for BambooHR and PostgreSQL.

Popular · 8 of 453
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