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Human resources ⇄ Data warehouse

BambooHR to Google Cloud Platform integration — real-time, two-way sync

Keep BambooHR and Google Cloud Platform 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 BambooHR and Google Cloud Platform

Land the people and organization records from BambooHR in Google Cloud Platform as live tables for workforce reporting, without extract jobs, and write computed results back where BambooHR can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether BambooHR is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Google Cloud Platform next to everything else the company measures.

Stacksync syncs Departments and Divisions, Custom Tables, Reports, Employees from BambooHR into tables in Google Cloud Platform continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Google Cloud Platform, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in BambooHR where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Feed Compensation and custom-table data to a warehouse for HR analytics with field-level access control.
  • 03 Sync Employees and Employment Status to identity and IT systems so new hires are provisioned and departures deactivated automatically.

Common sync patterns

Queryable history for planning and audit

A continuously synced copy in Google Cloud Platform gives you a durable, queryable record of how BambooHR's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Google Cloud Platform sync back onto the matching records in BambooHR, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

People and organization records from BambooHR arrive in Google Cloud Platform as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

What you can sync between BambooHR and Google Cloud Platform

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 Google Cloud Platform objects How this pairing syncs
Reports Saved company reports retrievable via API; read out on a schedule to feed a warehouse without rebuilding field-by-field queries. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Reports is specific to BambooHR and BigQuery datasets to Google Cloud Platform — 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. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Employees is specific to BambooHR and BigQuery tables to Google Cloud Platform — 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. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Job Information is specific to BambooHR and Cloud SQL databases to Google Cloud Platform — 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. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Compensation is specific to BambooHR and Cloud Storage objects to Google Cloud Platform — 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. Pub/Sub topics Event streams used to move change events between systems in near real time. Time Off is specific to BambooHR and Pub/Sub topics to Google Cloud Platform — 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. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Employment Status is specific to BambooHR and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between BambooHR and Google Cloud Platform

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 Google Cloud Platform 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 Google Cloud Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform BambooHR Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with BambooHR ⇄ Google Cloud Platform

Connect BambooHR and Google Cloud Platform for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BambooHR or Google Cloud Platform 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 Google Cloud Platform record.

Observability

Monitoring

Track your BambooHR ⇄ Google Cloud Platform 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 Google Cloud Platform.

How the BambooHR and Google Cloud Platform 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.

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

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

    Choose tables

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

BambooHR and Google Cloud Platform 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 447 integrations available for BambooHR and Google Cloud Platform.

Popular · 8 of 447
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